var bibbase_data = {"data":"<img src=\"//bibbase.org/img/ajax-loader.gif\" id=\"spinner\"\n  style=\"display: none;\" alt=\"Loading..\" />\n\n<div id=\"bibbase\">\n\n  <script type=\"text/javascript\">\n    var bibbase = {\n      params: {\"bib\":\"http://ml.mit.edu//mlbib.bib\",\"jsonp\":\"1\",\"host\":\"bibbase.org\"},\n      data: [{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"firstnames\":[\"Christos\"],\"propositions\":[],\"lastnames\":[\"Louizos\"],\"suffixes\":[]},{\"firstnames\":[\"Uri\"],\"propositions\":[],\"lastnames\":[\"Shalit\"],\"suffixes\":[]},{\"firstnames\":[\"Joris\"],\"propositions\":[],\"lastnames\":[\"Mooij\"],\"suffixes\":[]},{\"firstnames\":[\"David\"],\"propositions\":[],\"lastnames\":[\"Sontag\"],\"suffixes\":[]},{\"firstnames\":[\"Richard\",\"S.\"],\"propositions\":[],\"lastnames\":[\"Zemel\"],\"suffixes\":[]},{\"firstnames\":[\"Max\"],\"propositions\":[],\"lastnames\":[\"Welling\"],\"suffixes\":[]}],\"title\":\"Causal Effect Inference with Deep Latent-Variable Models\",\"booktitle\":\"Proceedings of the 31st International Conference on Neural Information Processing Systems (NIPS)\",\"series\":\"NIPS'17\",\"year\":\"2017\",\"keywords\":\"Machine learning, Causal inference, Deep learning\",\"url_paper\":\"https://arxiv.org/pdf/1705.08821.pdf\",\"abstract\":\"Learning individual-level causal effects from observational data, such as inferring the most effective medication for a specific patient, is a problem of growing importance for policy makers. The most important aspect of inferring causal effects from observational data is the handling of confounders, factors that affect both an intervention and its outcome. A carefully designed observational study attempts to measure all important confounders. However, even if one does not have direct access to all confounders, there may exist noisy and uncertain measurement of proxies for confounders. We build on recent advances in latent variable modelling to simultaneously estimate the unknown latent space summarizing the confounders and the causal effect. Our method is based on Variational Autoencoders (VAE) which follow the causal structure of inference with proxies. We show our method is significantly more robust than existing methods, and matches the state-of-the-art on previous benchmarks focused on individual treatment effects.\",\"bibtex\":\"@inproceedings{LouizosEtAl_nips17,\\n  author    = {Christos Louizos and\\n               Uri Shalit and\\n               Joris Mooij and\\n               David Sontag and\\n               Richard S. Zemel and\\n               Max Welling},\\n  title     = {Causal Effect Inference with Deep Latent-Variable Models},\\n booktitle = {Proceedings of the 31st International Conference on Neural Information Processing Systems (NIPS)},\\n series = {NIPS'17},\\n year = {2017},\\n keywords = {Machine learning, Causal inference, Deep learning},\\n url_Paper = {https://arxiv.org/pdf/1705.08821.pdf},\\n abstract = {Learning individual-level causal effects from observational data, such as inferring the most effective medication for a specific patient, is a problem of growing importance for policy makers. The most important aspect of inferring causal effects from observational data is the handling of confounders, factors that affect both an intervention and its outcome. A carefully designed observational study attempts to measure all important confounders. However, even if one does not have direct access to all confounders, there may exist noisy and uncertain measurement of proxies for confounders. We build on recent advances in latent variable modelling to simultaneously estimate the unknown latent space summarizing the confounders and the causal effect. Our method is based on Variational Autoencoders (VAE) which follow the causal structure of inference with proxies. We show our method is significantly more robust than existing methods, and matches the state-of-the-art on previous benchmarks focused on individual treatment effects.}\\n}\\n\\n\",\"author_short\":[\"Louizos, C.\",\"Shalit, U.\",\"Mooij, J.\",\"Sontag, D.\",\"Zemel, R. S.\",\"Welling, M.\"],\"key\":\"LouizosEtAl_nips17\",\"id\":\"LouizosEtAl_nips17\",\"bibbaseid\":\"louizos-shalit-mooij-sontag-zemel-welling-causaleffectinferencewithdeeplatentvariablemodels-2017\",\"role\":\"author\",\"urls\":{\" paper\":\"https://arxiv.org/pdf/1705.08821.pdf\"},\"keyword\":[\"Machine learning\",\"Causal inference\",\"Deep learning\"],\"metadata\":{\"authorlinks\":{\"sontag, d\":\"https://people.csail.mit.edu/dsontag/papers/biblio_topic.html\"}},\"downloads\":12,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"firstnames\":[\"Uri\"],\"propositions\":[],\"lastnames\":[\"Shalit\"],\"suffixes\":[]},{\"firstnames\":[\"Fredrik\",\"D.\"],\"propositions\":[],\"lastnames\":[\"Johansson\"],\"suffixes\":[]},{\"firstnames\":[\"David\"],\"propositions\":[],\"lastnames\":[\"Sontag\"],\"suffixes\":[]}],\"title\":\"Estimating individual treatment effect: generalization bounds and algorithms\",\"booktitle\":\"Proceedings of the 34th International Conference on Machine Learning (ICML)\",\"pages\":\"3076–3085\",\"year\":\"2017\",\"keywords\":\"Machine learning, Causal inference, Deep learning\",\"url_paper\":\"http://arxiv.org/pdf/1606.03976.pdf\",\"abstract\":\"There is intense interest in applying machine learning to problems of causal inference in fields such as healthcare, economics and education. In particular, individual-level causal inference has important applications such as precision medicine. We give a new theoretical analysis and family of algorithms for predicting individual treatment effect (ITE) from observational data, under the assumption known as strong ignorability. The algorithms learn a \\\"balanced\\\" representation such that the induced treated and control distributions look similar. We give a novel, simple and intuitive generalization-error bound showing that the expected ITE estimation error of a representation is bounded by a sum of the standard generalization-error of that representation and the distance between the treated and control distributions induced by the representation. We use Integral Probability Metrics to measure distances between distributions, deriving explicit bounds for the Wasserstein and Maximum Mean Discrepancy (MMD) distances. Experiments on real and simulated data show the new algorithms match or outperform the state-of-the-art.\",\"bibtex\":\"@inproceedings{ShalitEtAl_icml17,\\n  author    = {Uri Shalit and\\n               Fredrik D. Johansson and\\n               David Sontag},\\n  title     = {Estimating individual treatment effect: generalization bounds and\\n               algorithms},\\n  booktitle = {Proceedings of the 34th International Conference on Machine Learning (ICML)},\\n  pages     = {3076--3085},\\n  year      = {2017},\\n  keywords = {Machine learning, Causal inference, Deep learning},\\n  url_Paper = {http://arxiv.org/pdf/1606.03976.pdf},\\n  abstract = {There is intense interest in applying machine learning to problems of causal inference in fields such as healthcare, economics and education. In particular, individual-level causal inference has important applications such as precision medicine. We give a new theoretical analysis and family of algorithms for predicting individual treatment effect (ITE) from observational data, under the assumption known as strong ignorability. The algorithms learn a \\\"balanced\\\" representation such that the induced treated and control distributions look similar. We give a novel, simple and intuitive generalization-error bound showing that the expected ITE estimation error of a representation is bounded by a sum of the standard generalization-error of that representation and the distance between the treated and control distributions induced by the representation. We use Integral Probability Metrics to measure distances between distributions, deriving explicit bounds for the Wasserstein and Maximum Mean Discrepancy (MMD) distances. Experiments on real and simulated data show the new algorithms match or outperform the state-of-the-art.}\\n}\\n\\n\",\"author_short\":[\"Shalit, U.\",\"Johansson, F. D.\",\"Sontag, D.\"],\"key\":\"ShalitEtAl_icml17\",\"id\":\"ShalitEtAl_icml17\",\"bibbaseid\":\"shalit-johansson-sontag-estimatingindividualtreatmenteffectgeneralizationboundsandalgorithms-2017\",\"role\":\"author\",\"urls\":{\" paper\":\"http://arxiv.org/pdf/1606.03976.pdf\"},\"keyword\":[\"Machine learning\",\"Causal inference\",\"Deep learning\"],\"metadata\":{\"authorlinks\":{\"sontag, d\":\"https://people.csail.mit.edu/dsontag/papers/biblio_topic.html\"}},\"downloads\":7,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"firstnames\":[\"Yacine\"],\"propositions\":[],\"lastnames\":[\"Jernite\"],\"suffixes\":[]},{\"firstnames\":[\"Anna\"],\"propositions\":[],\"lastnames\":[\"Choromanska\"],\"suffixes\":[]},{\"firstnames\":[\"David\"],\"propositions\":[],\"lastnames\":[\"Sontag\"],\"suffixes\":[]}],\"title\":\"Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation\",\"booktitle\":\"Proceedings of the 34th International Conference on Machine Learning (ICML)\",\"pages\":\"1665–1674\",\"year\":\"2017\",\"keywords\":\"Machine learning, Natural language processing, Deep learning\",\"url_paper\":\"https://arxiv.org/pdf/1610.04658.pdf\",\"abstract\":\"We consider multi-class classification where the predictor has a hierarchical structure that allows for a very large number of labels both at train and test time. The predictive power of such models can heavily depend on the structure of the tree, and although past work showed how to learn the tree structure, it expected that the feature vectors remained static. We provide a novel algorithm to simultaneously perform representation learning for the input data and learning of the hierarchical predictor. Our approach optimizes an objective function which favors balanced and easily-separable multi-way node partitions. We theoretically analyze this objective, showing that it gives rise to a boosting style property and a bound on classification error. We next show how to extend the algorithm to conditional density estimation. We empirically validate both variants of the algorithm on text classification and language modeling, respectively, and show that they compare favorably to common baselines in terms of accuracy and running time.\",\"bibtex\":\"@inproceedings{JerniteEtAl_icml17,\\n  author    = {Yacine Jernite and\\n               Anna Choromanska and\\n               David Sontag},\\n  title     = {Simultaneous Learning of Trees and Representations for Extreme Classification\\n               and Density Estimation},\\n  booktitle = {Proceedings of the 34th International Conference on Machine Learning (ICML)},\\n  pages     = {1665--1674},\\n  year      = {2017},\\n  keywords = {Machine learning, Natural language processing, Deep learning},\\n  url_Paper = {https://arxiv.org/pdf/1610.04658.pdf},\\n  abstract = {We consider multi-class classification where the predictor has a hierarchical structure that allows for a very large number of labels both at train and test time. The predictive power of such models can heavily depend on the structure of the tree, and although past work showed how to learn the tree structure, it expected that the feature vectors remained static. We provide a novel algorithm to simultaneously perform representation learning for the input data and learning of the hierarchical predictor. Our approach optimizes an objective function which favors balanced and easily-separable multi-way node partitions. We theoretically analyze this objective, showing that it gives rise to a boosting style property and a bound on classification error. We next show how to extend the algorithm to conditional density estimation. We empirically validate both variants of the algorithm on text classification and language modeling, respectively, and show that they compare favorably to common baselines in terms of accuracy and running time.}\\n}\\n\\n\",\"author_short\":[\"Jernite, Y.\",\"Choromanska, A.\",\"Sontag, D.\"],\"key\":\"JerniteEtAl_icml17\",\"id\":\"JerniteEtAl_icml17\",\"bibbaseid\":\"jernite-choromanska-sontag-simultaneouslearningoftreesandrepresentationsforextremeclassificationanddensityestimation-2017\",\"role\":\"author\",\"urls\":{\" paper\":\"https://arxiv.org/pdf/1610.04658.pdf\"},\"keyword\":[\"Machine learning\",\"Natural language processing\",\"Deep learning\"],\"metadata\":{\"authorlinks\":{\"sontag, d\":\"https://people.csail.mit.edu/dsontag/papers/biblio_topic.html\"}},\"downloads\":1,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"firstnames\":[\"Rahul\",\"G.\"],\"propositions\":[],\"lastnames\":[\"Krishnan\"],\"suffixes\":[]},{\"firstnames\":[\"Uri\"],\"propositions\":[],\"lastnames\":[\"Shalit\"],\"suffixes\":[]},{\"firstnames\":[\"David\"],\"propositions\":[],\"lastnames\":[\"Sontag\"],\"suffixes\":[]}],\"title\":\"Structured Inference Networks for Nonlinear State Space Models\",\"booktitle\":\"Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence\",\"pages\":\"2101–2109\",\"year\":\"2017\",\"keywords\":\"Machine learning, Unsupervised learning, Deep learning, Health care, Approximate inference in graphical models\",\"url_paper\":\"https://arxiv.org/pdf/1609.09869.pdf\",\"abstract\":\"Gaussian state space models have been used for decades as generative models of sequential data. They admit an intuitive probabilistic interpretation, have a simple functional form, and enjoy widespread adoption. We introduce a unified algorithm to efficiently learn a broad class of linear and non-linear state space models, including variants where the emission and transition distributions are modeled by deep neural networks. Our learning algorithm simultaneously learns a compiled inference network and the generative model, leveraging a structured variational approximation parameterized by recurrent neural networks to mimic the posterior distribution. We apply the learning algorithm to both synthetic and real-world datasets, demonstrating its scalability and versatility. We find that using the structured approximation to the posterior results in models with significantly higher held-out likelihood.\",\"bibtex\":\"@inproceedings{KrishnanEtAl_aaai17,\\n  author    = {Rahul G. Krishnan and\\n               Uri Shalit and\\n               David Sontag},\\n  title     = {Structured Inference Networks for Nonlinear State Space Models},\\n  booktitle = {Proceedings of the Thirty-First {AAAI} Conference on Artificial Intelligence},\\n  pages     = {2101--2109},\\n  year      = {2017},\\n  keywords = {Machine learning, Unsupervised learning, Deep learning, Health care, Approximate inference in graphical models},\\n  url_Paper = {https://arxiv.org/pdf/1609.09869.pdf},\\n  abstract = {Gaussian state space models have been used for decades as generative models of sequential data. They admit an intuitive probabilistic interpretation, have a simple functional form, and enjoy widespread adoption. We introduce a unified algorithm to efficiently learn a broad class of linear and non-linear state space models, including variants where the emission and transition distributions are modeled by deep neural networks. Our learning algorithm simultaneously learns a compiled inference network and the generative model, leveraging a structured variational approximation parameterized by recurrent neural networks to mimic the posterior distribution. We apply the learning algorithm to both synthetic and real-world datasets, demonstrating its scalability and versatility. We find that using the structured approximation to the posterior results in models with significantly higher held-out likelihood.}\\n}\\n\\n\\n% TOMMI\\n\\n\\n\",\"author_short\":[\"Krishnan, R. G.\",\"Shalit, U.\",\"Sontag, D.\"],\"key\":\"KrishnanEtAl_aaai17\",\"id\":\"KrishnanEtAl_aaai17\",\"bibbaseid\":\"krishnan-shalit-sontag-structuredinferencenetworksfornonlinearstatespacemodels-2017\",\"role\":\"author\",\"urls\":{\" paper\":\"https://arxiv.org/pdf/1609.09869.pdf\"},\"keyword\":[\"Machine learning\",\"Unsupervised learning\",\"Deep learning\",\"Health care\",\"Approximate inference in graphical models\"],\"metadata\":{\"authorlinks\":{\"sontag, d\":\"https://people.csail.mit.edu/dsontag/papers/biblio_topic.html\"}},\"downloads\":3,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Aspect-augmented Adversarial Networks for Domain Adaptation\",\"author\":[{\"firstnames\":[\"Y.\"],\"propositions\":[],\"lastnames\":[\"Zhang\"],\"suffixes\":[]},{\"firstnames\":[\"R.\"],\"propositions\":[],\"lastnames\":[\"Barzilay\"],\"suffixes\":[]},{\"firstnames\":[\"T.\"],\"propositions\":[],\"lastnames\":[\"Jaakkola\"],\"suffixes\":[]}],\"journal\":\"Transactions of the Association for Computational Linguistics (TACL)\",\"year\":\"2017\",\"url_pdf\":\"https://people.csail.mit.edu/tommi/papers/Zhang_etal-TACL17.pdf\",\"bibtex\":\"@article{Zhang_etal-TACL2017,\\ntitle = {Aspect-augmented Adversarial Networks for Domain Adaptation},\\nauthor = {Y. Zhang and R. Barzilay and T. Jaakkola},\\njournal = {Transactions of the Association for Computational Linguistics (TACL)},\\nyear = {2017},\\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/Zhang_etal-TACL17.pdf},\\n}\\n\\n\",\"author_short\":[\"Zhang, Y.\",\"Barzilay, R.\",\"Jaakkola, T.\"],\"key\":\"Zhang_etal-TACL2017\",\"id\":\"Zhang_etal-TACL2017\",\"bibbaseid\":\"zhang-barzilay-jaakkola-aspectaugmentedadversarialnetworksfordomainadaptation-2017\",\"role\":\"author\",\"urls\":{\" pdf\":\"https://people.csail.mit.edu/tommi/papers/Zhang_etal-TACL17.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"firstnames\":[\"D.\",\"Alvarez\"],\"propositions\":[],\"lastnames\":[\"Melis\"],\"suffixes\":[]},{\"firstnames\":[\"T.\"],\"propositions\":[],\"lastnames\":[\"Jaakkola\"],\"suffixes\":[]}],\"title\":\"A causal framework for explaining the predictions of black-box sequence-to-sequence models\",\"booktitle\":\"Empirical Methods in Natural Language Processing (EMNLP)\",\"year\":\"2017\",\"url_pdf\":\"https://people.csail.mit.edu/tommi/papers/AlvJaa_EMNLP2017.pdf\",\"bibtex\":\"@InProceedings{AlvJaa_EMNLP2017,\\nauthor = {D. Alvarez Melis and T. Jaakkola},\\ntitle = {A causal framework for explaining the predictions of black-box sequence-to-sequence models},\\nbooktitle = {Empirical Methods in Natural Language Processing (EMNLP)},\\nyear = {2017},\\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/AlvJaa_EMNLP2017.pdf},\\n}\\n\\n\",\"author_short\":[\"Melis, D. A.\",\"Jaakkola, T.\"],\"key\":\"AlvJaa_EMNLP2017\",\"id\":\"AlvJaa_EMNLP2017\",\"bibbaseid\":\"melis-jaakkola-acausalframeworkforexplainingthepredictionsofblackboxsequencetosequencemodels-2017\",\"role\":\"author\",\"urls\":{\" pdf\":\"https://people.csail.mit.edu/tommi/papers/AlvJaa_EMNLP2017.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"firstnames\":[\"T.\"],\"propositions\":[],\"lastnames\":[\"Lei\"],\"suffixes\":[]},{\"firstnames\":[\"W.\"],\"propositions\":[],\"lastnames\":[\"Jin\"],\"suffixes\":[]},{\"firstnames\":[\"R.\"],\"propositions\":[],\"lastnames\":[\"Barzilay\"],\"suffixes\":[]},{\"firstnames\":[\"T.\"],\"propositions\":[],\"lastnames\":[\"Jaakkola\"],\"suffixes\":[]}],\"title\":\"Deriving Neural Architectures from Sequence and Graph Kernels\",\"booktitle\":\"International Conference on Machine Learning (ICML)\",\"year\":\"2017\",\"url_pdf\":\"https://people.csail.mit.edu/tommi/papers/Lei_etal_ICML2017.pdf\",\"bibtex\":\"@InProceedings{Lei_etal_ICML2017,\\nauthor = {T. Lei and W. Jin and R. Barzilay and T. Jaakkola},\\ntitle = {Deriving Neural Architectures from Sequence and Graph Kernels},\\nbooktitle = {International Conference on Machine Learning (ICML)},\\nyear = {2017},\\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/Lei_etal_ICML2017.pdf},\\n}\\n\\n\",\"author_short\":[\"Lei, T.\",\"Jin, W.\",\"Barzilay, R.\",\"Jaakkola, T.\"],\"key\":\"Lei_etal_ICML2017\",\"id\":\"Lei_etal_ICML2017\",\"bibbaseid\":\"lei-jin-barzilay-jaakkola-derivingneuralarchitecturesfromsequenceandgraphkernels-2017\",\"role\":\"author\",\"urls\":{\" pdf\":\"https://people.csail.mit.edu/tommi/papers/Lei_etal_ICML2017.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"firstnames\":[\"J.\"],\"propositions\":[],\"lastnames\":[\"Mueller\"],\"suffixes\":[]},{\"firstnames\":[\"D.\"],\"propositions\":[],\"lastnames\":[\"Gifford\"],\"suffixes\":[]},{\"firstnames\":[\"T.\"],\"propositions\":[],\"lastnames\":[\"Jaakkola\"],\"suffixes\":[]}],\"title\":\"Sequence to Better Sequence: Continuous Revision of Combinatorial Structures\",\"booktitle\":\"International Conference on Machine Learning (ICML)\",\"year\":\"2017\",\"url_pdf\":\"https://people.csail.mit.edu/tommi/papers/seq2betterseqICML17.pdf\",\"bibtex\":\"@InProceedings{Mueller_etal_ICML2017,\\nauthor = {J. Mueller and D. Gifford and T. Jaakkola},\\ntitle = {Sequence to Better Sequence: Continuous Revision of Combinatorial Structures},\\nbooktitle = {International Conference on Machine Learning (ICML)},\\nyear = {2017},\\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/seq2betterseqICML17.pdf},\\n}\\n\\n\",\"author_short\":[\"Mueller, J.\",\"Gifford, D.\",\"Jaakkola, T.\"],\"key\":\"Mueller_etal_ICML2017\",\"id\":\"Mueller_etal_ICML2017\",\"bibbaseid\":\"mueller-gifford-jaakkola-sequencetobettersequencecontinuousrevisionofcombinatorialstructures-2017\",\"role\":\"author\",\"urls\":{\" pdf\":\"https://people.csail.mit.edu/tommi/papers/seq2betterseqICML17.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"firstnames\":[\"M.\"],\"propositions\":[],\"lastnames\":[\"Zhao\"],\"suffixes\":[]},{\"firstnames\":[\"S.\"],\"propositions\":[],\"lastnames\":[\"Yue\"],\"suffixes\":[]},{\"firstnames\":[\"D.\"],\"propositions\":[],\"lastnames\":[\"Katabi\"],\"suffixes\":[]},{\"firstnames\":[\"T.\"],\"propositions\":[],\"lastnames\":[\"Jaakkola\"],\"suffixes\":[]},{\"firstnames\":[\"M.\"],\"propositions\":[],\"lastnames\":[\"Bianchi\"],\"suffixes\":[]}],\"title\":\"Learning Sleep Stages from Radio Signals: A Conditional Adversarial Architecture\",\"booktitle\":\"International Conference on Machine Learning (ICML)\",\"year\":\"2017\",\"url_pdf\":\"https://people.csail.mit.edu/tommi/papers/Zhao_etal_ICML2017.pdf\",\"bibtex\":\"@InProceedings{Zhao_etal_ICML2017,\\nauthor = {M. Zhao and S. Yue and D. Katabi and T. Jaakkola and M. Bianchi},\\ntitle = {Learning Sleep Stages from Radio Signals: A Conditional Adversarial Architecture},\\nbooktitle = {International Conference on Machine Learning (ICML)},\\nyear = {2017},\\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/Zhao_etal_ICML2017.pdf},\\n}\\n\\n\",\"author_short\":[\"Zhao, M.\",\"Yue, S.\",\"Katabi, D.\",\"Jaakkola, T.\",\"Bianchi, M.\"],\"key\":\"Zhao_etal_ICML2017\",\"id\":\"Zhao_etal_ICML2017\",\"bibbaseid\":\"zhao-yue-katabi-jaakkola-bianchi-learningsleepstagesfromradiosignalsaconditionaladversarialarchitecture-2017\",\"role\":\"author\",\"urls\":{\" pdf\":\"https://people.csail.mit.edu/tommi/papers/Zhao_etal_ICML2017.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"author\":[{\"firstnames\":[\"J.\"],\"propositions\":[],\"lastnames\":[\"Mueller\"],\"suffixes\":[]},{\"firstnames\":[\"T.\"],\"propositions\":[],\"lastnames\":[\"Jaakkola\"],\"suffixes\":[]},{\"firstnames\":[\"D.\"],\"propositions\":[],\"lastnames\":[\"Gifford\"],\"suffixes\":[]}],\"title\":\"Modeling Persistent Trends in Distributions\",\"journal\":\"Journal of the American Statistical Association\",\"year\":\"2017\",\"url_pdf\":\"https://people.csail.mit.edu/tommi/papers/persistentTrends.pdf\",\"bibtex\":\"@article{Mueller_etal_JASA_2017,\\nauthor = {J. Mueller and T. Jaakkola and D. Gifford},\\ntitle = {Modeling Persistent Trends in Distributions},\\njournal = {Journal of the American Statistical Association},\\nyear = {2017},\\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/persistentTrends.pdf},\\n}\\n\\n\",\"author_short\":[\"Mueller, J.\",\"Jaakkola, T.\",\"Gifford, D.\"],\"key\":\"Mueller_etal_JASA_2017\",\"id\":\"Mueller_etal_JASA_2017\",\"bibbaseid\":\"mueller-jaakkola-gifford-modelingpersistenttrendsindistributions-2017\",\"role\":\"author\",\"urls\":{\" pdf\":\"https://people.csail.mit.edu/tommi/papers/persistentTrends.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Prediction of Organic Reaction Outcomes Using Machine Learning\",\"author\":[{\"firstnames\":[\"C.\",\"W.\"],\"propositions\":[],\"lastnames\":[\"Coley\"],\"suffixes\":[]},{\"firstnames\":[\"R.\"],\"propositions\":[],\"lastnames\":[\"Barzilay\"],\"suffixes\":[]},{\"firstnames\":[\"T.\"],\"propositions\":[],\"lastnames\":[\"Jaakkola\"],\"suffixes\":[]},{\"firstnames\":[\"W.\",\"H.\"],\"propositions\":[],\"lastnames\":[\"Green\"],\"suffixes\":[]},{\"firstnames\":[\"K.\",\"F.\"],\"propositions\":[],\"lastnames\":[\"Jensen\"],\"suffixes\":[]}],\"journal\":\"ACS Central Science\",\"doi\":\"DOI: 10.1021/acscentsci.7b00064\",\"year\":\"2017\",\"url_pdf\":\"https://people.csail.mit.edu/tommi/papers/Connor_etal_ACS_2017.pdf\",\"bibtex\":\"@article{Connor_etal_ACS_2017,\\ntitle = {Prediction of Organic Reaction Outcomes Using Machine Learning},\\nauthor = {C. W. Coley and R. Barzilay and T. Jaakkola and W. H. Green and K. F. Jensen},\\njournal = {ACS Central Science},\\nDOI = {DOI: 10.1021/acscentsci.7b00064},\\nyear = {2017},\\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/Connor_etal_ACS_2017.pdf},\\n}\\n\\n\",\"author_short\":[\"Coley, C. W.\",\"Barzilay, R.\",\"Jaakkola, T.\",\"Green, W. H.\",\"Jensen, K. F.\"],\"key\":\"Connor_etal_ACS_2017\",\"id\":\"Connor_etal_ACS_2017\",\"bibbaseid\":\"coley-barzilay-jaakkola-green-jensen-predictionoforganicreactionoutcomesusingmachinelearning-2017\",\"role\":\"author\",\"urls\":{\" pdf\":\"https://people.csail.mit.edu/tommi/papers/Connor_etal_ACS_2017.pdf\"},\"metadata\":{\"authorlinks\":{}},\"downloads\":3,\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"author\":[{\"firstnames\":[\"D.\"],\"propositions\":[],\"lastnames\":[\"Alvarez-Melis\"],\"suffixes\":[]},{\"firstnames\":[\"T.\"],\"propositions\":[],\"lastnames\":[\"Jaakkola\"],\"suffixes\":[]}],\"title\":\"Tree Structured Decoding with Doubly Recurrent Neural Networks\",\"booktitle\":\"International Conference on Learning Representations (ICLR)\",\"year\":\"2017\",\"url_pdf\":\"https://people.csail.mit.edu/tommi/papers/AlvJaa_ICLR2017.pdf\",\"bibtex\":\"@InProceedings{Alvarez_etal_ICLR2017,\\nauthor = {D. Alvarez-Melis and T. 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A.\",\"others\"],\"key\":\"cai2016geometric\",\"id\":\"cai2016geometric\",\"bibbaseid\":\"cai-liang-rakhlin-others-geometricinferenceforgeneralhighdimensionallinearinverseproblems-2016\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Inference via message passing on partially labeled stochastic block models\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Cai\"],\"firstnames\":[\"T\",\"Tony\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Liang\"],\"firstnames\":[\"Tengyuan\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rakhlin\"],\"firstnames\":[\"Alexander\"],\"suffixes\":[]}],\"journal\":\"arXiv preprint arXiv:1603.06923\",\"year\":\"2016\",\"bibtex\":\"@article{cai2016inference,\\n  title={Inference via message passing on partially labeled stochastic block models},\\n  author={Cai, T Tony and Liang, Tengyuan and Rakhlin, Alexander},\\n  journal={arXiv preprint arXiv:1603.06923},\\n  year={2016}\\n}\",\"author_short\":[\"Cai, T T.\",\"Liang, T.\",\"Rakhlin, A.\"],\"key\":\"cai2016inference\",\"id\":\"cai2016inference\",\"bibbaseid\":\"cai-liang-rakhlin-inferenceviamessagepassingonpartiallylabeledstochasticblockmodels-2016\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"}],\n      metadata: {\"authorlinks\":{}},\n      ownerID: undefined\n    };\n  </script>\n\n  <script type=\"text/javascript\">\n  var site$;\n  if (typeof $ != 'undefined') {\n    console.log('existing jquery: storing and then restoring');\n    site$ = $;\n    $ = null;\n  }\n  </script>\n\n  <script src=\"https://ajax.googleapis.com/ajax/libs/jquery/2.2.4/jquery.min.js\">\n  </script>\n  <script type=\"text/javascript\">\n  if (site$) {\n    console.log('existing jquery: avoiding conflict and restoring');\n    bb$ = $.noConflict(true);\n    $ = site$;\n  } else {\n    bb$ = $;\n  }\n  </script>\n\n  <script src=\"//bibbase.org/js/bibbase.min.js\"\n          type=\"text/javascript\">\n  </script>\n\n  <script type=\"text/javascript\"\n          src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/MathJax.js?config=TeX-AMS-MML_HTMLorMML\">\n  </script>\n  <script type=\"text/x-mathjax-config\">\n    MathJax.Hub.Config({tex2jax: {inlineMath: [['$','$'], ['\\\\(','\\\\)']]},\n                        skipTags: [\"body\"],\n                        processClass: \"bibbase_paper\"});\n  </script>\n\n  <style>\n  @media print {\n    .dontprint {\n        display: none !important;\n    }\n\n  .bibbase_group {\n    background-color: #E0E0E0;\n    font-style: italic;\n    font-size: larger;\n    text-shadow: 0px 0px 3px #FFFFFF;\n    border-radius: 4px 4px 4px 4px;\n    -moz-border-radius: 4px 4px 4px 4px;\n    -webkit-border-radius: 4px;\n    padding: 5px 40px 5px;\n    margin-top: 10px;\n    margin-bottom: 5px;\n    cursor: pointer;\n  }\n\n  .bibbase_paper {\n    margin-bottom: 5px;\n  }\n\n 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onclick=\"groupby('year')\">\n            Year</a>\n        </li>\n        <li class=\"groupby author\"><a onclick=\"groupby('author_short')\">\n            Author</a>\n        </li>\n        <li class=\"groupby type\"><a onclick=\"groupby('type')\">\n            Type</a>\n        </li>\n        <li class=\"groupby keyword\"><a onclick=\"groupby('keyword')\">\n            Keyword</a>\n        </li>\n        <li class=\"groupby downloads\"><a onclick=\"groupby('downloads')\">\n            Downloads</a>\n        </li>\n      </ul>\n      </li>\n\n\n      <li class=\"dropdown\" id=\"menu_dropdown\">\n      <a class=\"dropdown-toggle\"\n         data-toggle=\"dropdown\"\n         href=\"#\" alt=\"controls\">\n          <i class=\"fa fa-reorder\" alt=\"controls\"></i>\n          <b class=\"caret\"></b>\n      </a>\n      <ul class=\"dropdown-menu\">\n        <li>\n          <a onclick=\"toggleAll()\">\n            <i class=\"fa fa-chevron-down fa-fw\"></i> Expand/Collapse All\n          </a>\n        </li>\n        <li>\n          <a download=\"mlbib.bib\" href=\"data:text/bibtex;base64,@inproceedings{LouizosEtAl_nips17,
  author    = {Christos Louizos and
               Uri Shalit and
               Joris Mooij and
               David Sontag and
               Richard S. Zemel and
               Max Welling},
  title     = {Causal Effect Inference with Deep Latent-Variable Models},
 booktitle = {Proceedings of the 31st International Conference on Neural Information Processing Systems (NIPS)},
 series = {NIPS'17},
 year = {2017},
 keywords = {Machine learning, Causal inference, Deep learning},
 url_Paper = {https://arxiv.org/pdf/1705.08821.pdf},
 abstract = {Learning individual-level causal effects from observational data, such as inferring the most effective medication for a specific patient, is a problem of growing importance for policy makers. The most important aspect of inferring causal effects from observational data is the handling of confounders, factors that affect both an intervention and its outcome. A carefully designed observational study attempts to measure all important confounders. However, even if one does not have direct access to all confounders, there may exist noisy and uncertain measurement of proxies for confounders. We build on recent advances in latent variable modelling to simultaneously estimate the unknown latent space summarizing the confounders and the causal effect. Our method is based on Variational Autoencoders (VAE) which follow the causal structure of inference with proxies. We show our method is significantly more robust than existing methods, and matches the state-of-the-art on previous benchmarks focused on individual treatment effects.}
}



@inproceedings{ShalitEtAl_icml17,
  author    = {Uri Shalit and
               Fredrik D. Johansson and
               David Sontag},
  title     = {Estimating individual treatment effect: generalization bounds and
               algorithms},
  booktitle = {Proceedings of the 34th International Conference on Machine Learning (ICML)},
  pages     = {3076--3085},
  year      = {2017},
  keywords = {Machine learning, Causal inference, Deep learning},
  url_Paper = {http://arxiv.org/pdf/1606.03976.pdf},
  abstract = {There is intense interest in applying machine learning to problems of causal inference in fields such as healthcare, economics and education. In particular, individual-level causal inference has important applications such as precision medicine. We give a new theoretical analysis and family of algorithms for predicting individual treatment effect (ITE) from observational data, under the assumption known as strong ignorability. The algorithms learn a "balanced" representation such that the induced treated and control distributions look similar. We give a novel, simple and intuitive generalization-error bound showing that the expected ITE estimation error of a representation is bounded by a sum of the standard generalization-error of that representation and the distance between the treated and control distributions induced by the representation. We use Integral Probability Metrics to measure distances between distributions, deriving explicit bounds for the Wasserstein and Maximum Mean Discrepancy (MMD) distances. Experiments on real and simulated data show the new algorithms match or outperform the state-of-the-art.}
}



@inproceedings{JerniteEtAl_icml17,
  author    = {Yacine Jernite and
               Anna Choromanska and
               David Sontag},
  title     = {Simultaneous Learning of Trees and Representations for Extreme Classification
               and Density Estimation},
  booktitle = {Proceedings of the 34th International Conference on Machine Learning (ICML)},
  pages     = {1665--1674},
  year      = {2017},
  keywords = {Machine learning, Natural language processing, Deep learning},
  url_Paper = {https://arxiv.org/pdf/1610.04658.pdf},
  abstract = {We consider multi-class classification where the predictor has a hierarchical structure that allows for a very large number of labels both at train and test time. The predictive power of such models can heavily depend on the structure of the tree, and although past work showed how to learn the tree structure, it expected that the feature vectors remained static. We provide a novel algorithm to simultaneously perform representation learning for the input data and learning of the hierarchical predictor. Our approach optimizes an objective function which favors balanced and easily-separable multi-way node partitions. We theoretically analyze this objective, showing that it gives rise to a boosting style property and a bound on classification error. We next show how to extend the algorithm to conditional density estimation. We empirically validate both variants of the algorithm on text classification and language modeling, respectively, and show that they compare favorably to common baselines in terms of accuracy and running time.}
}



@inproceedings{KrishnanEtAl_aaai17,
  author    = {Rahul G. Krishnan and
               Uri Shalit and
               David Sontag},
  title     = {Structured Inference Networks for Nonlinear State Space Models},
  booktitle = {Proceedings of the Thirty-First {AAAI} Conference on Artificial Intelligence},
  pages     = {2101--2109},
  year      = {2017},
  keywords = {Machine learning, Unsupervised learning, Deep learning, Health care, Approximate inference in graphical models},
  url_Paper = {https://arxiv.org/pdf/1609.09869.pdf},
  abstract = {Gaussian state space models have been used for decades as generative models of sequential data. They admit an intuitive probabilistic interpretation, have a simple functional form, and enjoy widespread adoption. We introduce a unified algorithm to efficiently learn a broad class of linear and non-linear state space models, including variants where the emission and transition distributions are modeled by deep neural networks. Our learning algorithm simultaneously learns a compiled inference network and the generative model, leveraging a structured variational approximation parameterized by recurrent neural networks to mimic the posterior distribution. We apply the learning algorithm to both synthetic and real-world datasets, demonstrating its scalability and versatility. We find that using the structured approximation to the posterior results in models with significantly higher held-out likelihood.}
}


% TOMMI




@article{Zhang_etal-TACL2017,
title = {Aspect-augmented Adversarial Networks for Domain Adaptation},
author = {Y. Zhang and R. Barzilay and T. Jaakkola},
journal = {Transactions of the Association for Computational Linguistics (TACL)},
year = {2017},
url_pdf = {https://people.csail.mit.edu/tommi/papers/Zhang_etal-TACL17.pdf},
}



@InProceedings{AlvJaa_EMNLP2017,
author = {D. Alvarez Melis and T. Jaakkola},
title = {A causal framework for explaining the predictions of black-box sequence-to-sequence models},
booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},
year = {2017},
url_pdf = {https://people.csail.mit.edu/tommi/papers/AlvJaa_EMNLP2017.pdf},
}



@InProceedings{Lei_etal_ICML2017,
author = {T. Lei and W. Jin and R. Barzilay and T. Jaakkola},
title = {Deriving Neural Architectures from Sequence and Graph Kernels},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2017},
url_pdf = {https://people.csail.mit.edu/tommi/papers/Lei_etal_ICML2017.pdf},
}



@InProceedings{Mueller_etal_ICML2017,
author = {J. Mueller and D. Gifford and T. Jaakkola},
title = {Sequence to Better Sequence: Continuous Revision of Combinatorial Structures},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2017},
url_pdf = {https://people.csail.mit.edu/tommi/papers/seq2betterseqICML17.pdf},
}



@InProceedings{Zhao_etal_ICML2017,
author = {M. Zhao and S. Yue and D. Katabi and T. Jaakkola and M. Bianchi},
title = {Learning Sleep Stages from Radio Signals: A Conditional Adversarial Architecture},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2017},
url_pdf = {https://people.csail.mit.edu/tommi/papers/Zhao_etal_ICML2017.pdf},
}



@article{Mueller_etal_JASA_2017,
author = {J. Mueller and T. Jaakkola and D. Gifford},
title = {Modeling Persistent Trends in Distributions},
journal = {Journal of the American Statistical Association},
year = {2017},
url_pdf = {https://people.csail.mit.edu/tommi/papers/persistentTrends.pdf},
}



@article{Connor_etal_ACS_2017,
title = {Prediction of Organic Reaction Outcomes Using Machine Learning},
author = {C. W. Coley and R. Barzilay and T. Jaakkola and W. H. Green and K. F. Jensen},
journal = {ACS Central Science},
DOI = {DOI: 10.1021/acscentsci.7b00064},
year = {2017},
url_pdf = {https://people.csail.mit.edu/tommi/papers/Connor_etal_ACS_2017.pdf},
}



@InProceedings{Alvarez_etal_ICLR2017,
author = {D. Alvarez-Melis and T. Jaakkola},
title = {Tree Structured Decoding with Doubly Recurrent Neural Networks},
booktitle = {International Conference on Learning Representations (ICLR)},
year = {2017},
url_pdf = {https://people.csail.mit.edu/tommi/papers/AlvJaa_ICLR2017.pdf},
}




@InProceedings{Mueller_etal_aistats2017,
author = {J. Mueller and D. Reshef and G. Du and T. Jaakkola},
title = {Learning Optimal Interventions},
booktitle = {Artificial Intelligence and Statistics (AISTATS)},
year = {2017},
url_pdf = {https://people.csail.mit.edu/tommi/papers/Mueller_etal_aistats2017.pdf},
}



@InProceedings{GarJaa-nips2016,
author = {V. Garg and T. Jaakkola},
title = {Learning Tree Structured Potential Games},
booktitle = {Advances in Neural Information Processing Systems (NIPS)},
year = {2016},
url_pdf = {https://people.csail.mit.edu/tommi/papers/Garg_Jaakkola_NIPS2016.pdf},
}



@InProceedings{Leietal-EMNLP2016,
author = {T. Lei and R. Barzilay and T. Jaakkola},
title = {Rationalizing Neural Predictions},
booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},
year = {2016},
url_pdf = {https://people.csail.mit.edu/tommi/papers/Lei_etal_EMNLP2016.pdf},
}



@InProceedings{Honetal-UAI2016,
title = {Structured Prediction: From Gaussian Perturbations to Linear-Time Principled Algorithms},
author = {J. Honorio and T. Jaakkola},
booktitle = {Uncertainty in Artificial Intelligence (UAI)},
year = {2016},
url_pdf = {https://people.csail.mit.edu/tommi/papers/HonJaa-UAI2016.pdf},
}



@article{Hasetal-TACL2016,
title = {Word embeddings as metric recovery in semantic spaces},
author = {T. Hashimoto and D. Alvarez-Melis and T. Jaakkola},
journal = {Transactions of the Association for Computational Linguistics (TACL)},
volume = {4},
year = {2016},
url_pdf = {https://people.csail.mit.edu/tommi/papers/HasAlvJaa-TACL16.pdf},
}



@InProceedings{Hasetal-icml2016,
author = {T. Hashimoto and T. Jaakkola and D. Gifford},
title = {Learning population-level diffusions with generative {RNN}s},
year = {2016},
booktitle = {International Conference on Machine Learning (ICML)},
url_pdf = {https://people.csail.mit.edu/tommi/papers/hashimoto16.pdf},
}




@InProceedings{Zhangetal-NAACL16,
title = {Ten Pairs to Tag -- Multilingual POS Tagging via Coarse Mapping between Embeddings},
author = {Y. Zhang and D. Gaddy and R. Barzilay and T. Jaakkola},
year = {2016},
booktitle = {The 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL)},
url_pdf = {https://people.csail.mit.edu/tommi/papers/Zhangetal_naacl16.pdf},
}



@InProceedings{Leietal-NAACL16,
title = {Semi-supervised Question Retrieval with Gated Convolutions},
author= {T. Lei and H. Joshi and R. Barzilay and T. Jaakkola and K. Tymoshenko and A. Moschitti and L. Marquez},
year = 2016,
booktitle = {The 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL)},
url_pdf = {https://people.csail.mit.edu/tommi/papers/Leietal_naacl16.pdf},
}



@InProceedings{Gargetal-aistats2016,
title = {CRAFT: ClusteR-specific Assorted Feature selecTion},
author= {V. Garg and C. Rudin and T. Jaakkola},
booktitle={Artificial Intelligence and Statistics (AISTATS)},
year = {2016},
url_pdf = {https://people.csail.mit.edu/tommi/papers/Garg_etal_aistats16.pdf},
}



@InProceedings{Hasetal-nips2015,
author = {T. Hashimoto and Y. Sun and T. Jaakkola},
title = {From random walks to distances on unweighted graphs},
booktitle = {Advances in Neural Information Processing Systems (NIPS)},
year = {2015},
url_pdf = {https://people.csail.mit.edu/tommi/papers/Hashimoto_etal_nips2015.pdf},
}



@InProceedings{Mueetal-nips2015,
author = {J. Mueller and T. Jaakkola},
title = {Principal Differences Analysis: Interpretable Characterization of Differences between Distributions},
booktitle = {Advances in Neural Information Processing Systems (NIPS)},
year = {2015},
url_pdf = {https://people.csail.mit.edu/tommi/papers/Mueller_etal_nips2015.pdf},
}



@InProceedings{Leietal-EMNLP2015,
author = {T. Lei and R. Barzilay and T. Jaakkola},
title = {Molding {CNN}s for Text: Non-linear, Non-consecutive Convolutions},
booktitle = {Empirical Methods in Natural Language Processing},
year = {2015},
url_pdf = {https://people.csail.mit.edu/tommi/papers/Leietal_EMNLP15.pdf},
}



@article{TACL458,
author = {K. Narasimhan and R. Barzilay and T. Jaakkola},
title = {An Unsupervised Method for Uncovering Morphological Chains},
journal = {Transactions of the Association for Computational Linguistics},
volume = {3},
year = {2015},
url_pdf = {https://people.csail.mit.edu/tommi/papers/Karthik-TACL-458-1565-1-PB.pdf},
pages = {157--167}
}



@InProceedings{tatsu_aistats15,
author = {T. Hashimoto and Y. Sun and T. Jaakkola},
title = {Metric recovery from directed unweighted graphs},
year = {2015},
booktitle = {Artificial Intelligence and Statistics},
url_pdf = {https://people.csail.mit.edu/tommi/papers/Tatsu_aistats15.pdf},
}


% STEFANIE -- last updated: 8th Oct 2017



@InProceedings{wang18aistats,
  author = 	 {Zi Wang and Clement Gehring and Pushmeet Kohli and Stefanie Jegelka},
  title = 	 {Batched Large-scale Bayesian Optimization in High-dimensional Spaces},
  booktitle = {International Conference on Artificial Intelligence and Statistics (AISTATS)},
  year = 	 2018,
  url_pdf = {https://arxiv.org/abs/1706.01445}}



@InProceedings{alvarezM18,
  author = 	 {D. Alvarez-Melis and T. Jaakkola and S. Jegelka},
  title = 	 {Structured Optimal Transport},
  booktitle = {International Conference on Artificial Intelligence and Statistics (AISTATS)},
  year = 	 2018,
  url_pdf = {https://arxiv.org/abs/1712.06199}}



@InProceedings{mirzasoleiman18,
  author = 	 {Baharan Mirzasoleiman and Stefanie Jegelka and Andreas Krause},
  title = 	 {Streaming Non-monotone Submodular Maximization: Personalized Video Summarization on the Fly},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  url_pdf = {https://arxiv.org/abs/1706.03583},
  year = 	 2018}



@InProceedings{wang17icra,
  author = 	 {Zi Wang and Stefanie Jegelka and Leslie Pack Kaelbling and Tomas Lozano-Perez},
  title = 	 {Focused Model-Learning and Planning for Non-Gaussian Continuous State-Action Systems},
  booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
  url_pdf = {http://arxiv.org/abs/1607.07762},
  year = 	 2017}



@InProceedings{shulkind17,
  author = 	 {Gal Shulkind and Stefanie Jegelka and G. W. Wornell},
  title = 	 {Multiple wavelength sensing array design},
  booktitle = {ICASSP},
  year = 	 2017}



@InProceedings{song17,
  author = 	 {Hyun Oh Song and Stefanie Jegelka and Vivek Rathod and Kevin Murphy},
  title = 	 {Deep Metric Learning via Facility Location},
  booktitle = {International Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = 	 2017,
  url_pdf = {http://openaccess.thecvf.com/content_cvpr_2017/papers/Song_Deep_Metric_Learning_CVPR_2017_paper.pdf}}




@InProceedings{staib17,
  author = 	 {Matthew Staib and Stefanie Jegelka},
  title = 	 {Robust Budget Allocation via Continuous Submodular Functions},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = 	 2017,
  url_pdf = {http://proceedings.mlr.press/v70/staib17a/staib17a.pdf}}



@InProceedings{wang17mes,
  author = 	 {Zi Wang and Stefanie Jegelka},
  title = 	 {Max-value entropy search for efficient Bayesian Optimization},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = 	 2017,
  url_pdf = {http://proceedings.mlr.press/v70/wang17e/wang17e.pdf}}



@InProceedings{wangLi17,
  author = 	 {Zi Wang and Chengtao Li and Stefanie Jegelka and Pushmeet Kohli},
  title = 	 {Batched High-dimensional Bayesian Optimization via Structural Kernel Learning.},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = 	 2017,
  url_pdf = {http://proceedings.mlr.press/v70/wang17h/wang17h.pdf}}



@InProceedings{staib17ci,
  author = 	 {Matthew Staib and Stefanie Jegelka},
  title = 	 {Wasserstein k-means++ for Cloud Regime Histogram Clustering},
  booktitle = {Climate Informatics},
  year = 	 2017}



@InProceedings{staibCSJ17,
  author = 	 {Matthew Staib and
               Sebastian Claici and
               Justin Solomon and
               Stefanie Jegelka},
  title = 	 {Parallel Streaming {W}asserstein Barycenters},
  booktitle = {Advances in Neural Information Processing Systems (NIPS)},
  url_pdf = {https://arxiv.org/abs/1705.07443},
  year = 	 2017}



@InProceedings{li17dual,
  author = 	 {Chengtao Li and Stefanie Jegelka and Suvrit Sra},
  title = 	 {Polynomial Time Algorithms for Dual Volume Sampling},
  booktitle = {Advances in Neural Information Processing Systems (NIPS)},
  url_pdf = {https://arxiv.org/abs/1703.02674},
  year = 	 2017}




@Article{kim17,
  author = 	 {Edward Kim and Kevin Huang and Stefanie Jegelka and Elsa Olivetti},
  title = 	 {Virtual screening of inorganic materials synthesis parameters with deep learning},
  journal = 	 {npj Computational Materials},
  year = 	 2017,
  volume = 	 3,
  number = 	 53,
  url_pdf = {https://www.nature.com/articles/s41524-017-0055-6}}




@InProceedings{song16,
  author = 	 {H. Song and Y. Xiang and S. Jegelka and S. Savarese},
  title = 	 {Deep Metric Learning via Lifted Structured Feature Embedding},
  booktitle = cvpr,
  note      = {Spotlight presentation},
  year = 	 2016}



@InProceedings{wangZJ16,
  author = 	 {Z. Wang and B. Zhou and S. Jegelka},
  title = 	 {Optimization as Estimation with {G}aussian Processes in Bandit Settings},
  booktitle = aistats,
  note = {Oral presentation},
  year = 	 2016}



@InProceedings{azadi16,
  author = 	 {Samaneh Azadi and Jiashi Feng and Stefanie Jegelka and Trevor Darrell},
  title = 	 {Auxiliary Image Regularization for Deep {CNN}s with Noisy Labels},
  booktitle = iclr,
  year = 	 2016}



@Article{jegelkaBilmes16,
  author = 	 {Stefanie Jegelka and Jeff Bilmes},
  title = 	 {Graph Cuts with Interacting Edge Costs - Examples, Approximations, and Algorithms},
  journal = 	 {Mathematical Programming Series A},
  year = 	 2016}



@InProceedings{djolonga16,
  author = 	 {Josip Djolonga and Stefanie Jegelka and Sebastian Tschiatschek and Andreas Krause},
  title = 	 {Cooperative Graphical Models},
  booktitle = nips,
  year = 	 2016}


% SUVRIT



@Article{sra.esym,
  author =       {Suvrit Sra},
  title =        {Logarithmic inequalities under a symmetric polynomial dominance order},
  journal =      {Proceedings American Mathematical Society (PAMS)},
  year =         2017,
  month =        {Oct},
  note  =        {{\it Accepted.}},
}



@InProceedings{marietSra17b,
  author = 	 {Zelda Mariet and Suvrit Sra},
  title = 	 {Elementary symmetric polynomials for optimal experimental design},
  booktitle = {Advances in Neural Information Processing Systems (NIPS)},
  url_pdf = {https://arxiv.org/abs/1705.09677},
  year = 	 2017}



@InProceedings{sraKulis, 
author = {Ke Jiang and Suvrit Sra and Brian Kulis},
title = {Combinatorial topic modling using small variance asymptotics},
booktitle = {Artificial Intelligence and Statistics (AISTATS)},
year = {2017},
url_pdf = {http://arxiv.org/abs/1604.02027}
}




@InProceedings{ncprox,
  author =       {Sashank Reddi and Suvrit Sra and Barnabas Poczos and Alexander J. Smola},
  title =        {Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization},
  booktitle =    nips,
  url_pdf   =    {https://papers.nips.cc/paper/6116-proximal-stochastic-methods-for-nonsmooth-nonconvex-finite-sum-optimization.pdf},
  year =         2016}



@InProceedings{rsvrg,
  author =       {Hongyi Zhang and Sashank Reddi and Suvrit Sra},
  title =        {Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds},
  booktitle =    nips,
  url_pdf =      {https://papers.nips.cc/paper/6515-riemannian-svrg-fast-stochastic-optimization-on-riemannian-manifolds.pdf},
  year =         2016}



@InProceedings{liJeSr16c,
  author =       {Chengtao Li and Stefanie Jegelka and Suvrit Sra},
  title =        {Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling},
  booktitle =    nips,
  url_pdf   =    {https://papers.nips.cc/paper/6182-fast-mixing-markov-chains-for-strongly-rayleigh-measures-dpps-and-constrained-sampling.pdf},
  year =         2016}



@InProceedings{krondpp,
  author =       {Zelda Mariet and Suvrit Sra},
  title =        {Kronecker Determinantal Point Processes},
  url_pdf =      {https://papers.nips.cc/paper/6296-kronecker-determinantal-point-processes.pdf},
  booktitle =    nips,
  year =         2016}



@InProceedings{ncfw,
  author =       {Sashank Reddi and Suvrit Sra and Barnabas Poczos and Alexander J. Smola},
  title =        {{Stochastic Frank-Wolfe Methods for Nonconvex Optimization}},
  booktitle =    {54th Annual Allerton Conference on Communication, Control, and Computing},
  url_pdf   =    {http://ieeexplore.ieee.org/document/7852377/},
  year =         2016}



@InProceedings{ncsaga,
  author =       {Sashank Reddi and Suvrit Sra and Barnabas Poczos and Alexander J. Smola},
  title =        {Fast incremental methods for smooth nonconvex optimization},
  booktitle =    {IEEE Conference on Decision and Control (CDC)},
  month =        {Dec},
  year =         2016
}




@InCollection{chSra16,
  author =       {Anoop Cherian and Suvrit Sra},
  title =        {{Positive Definite Matrices: Data Representation and Applications to Computer Vision}},
  booktitle =    {Algorithmic Advances in Riemannian Geometry and Applications},
  publisher =    {Springer},
  year =         {2016},
  url_pdf =      {http://suvrit.de/papers/cherian_sra_chapter.pdf}
}



@Article{cheSra15,
author = {Anoop Cherian and Suvrit Sra},
title = {Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices},
journal = {IEEE Neural Networks and Learning Systems (TNNLS)},
year = {2016},
url_pdf = {http://ieeexplore.ieee.org/document/7565529/}
}



@InProceedings{liSra16a,
  author =       {Chengtao Li and Stefanie Jegelka and  Suvrit Sra},
  title =        {Fast {DPP} Sampling for {N}yström with Application to Kernel Methods},
  booktitle =    icml,
  month     =    {Jun.},
  year =         2016,
  url_pdf =      {http://proceedings.mlr.press/v48/lih16.pdf}
}



@Article{hoSra16,
title = "Inference and mixture modeling with the Elliptical Gamma Distribution",
journal = "Computational Statistics & Data Analysis",
volume = "101",
number = "Supplement C",
pages = "29--43",
year = "2016",
url = "http://www.sciencedirect.com/science/article/pii/S0167947316300251",
author = "Reshad Hosseini and Suvrit Sra and Lucas Theis and Matthias Bethge",
}



@InProceedings{xiangSra16,
  title = 	 {Parallel and Distributed Block-Coordinate {F}rank-{W}olfe Algorithms},
  author = 	 {Yu-Xiang Wang and Veeranjaneyulu Sadhanala and Wei Dai and Willie Neiswanger and Suvrit Sra and Eric Xing},
  booktitle = 	 {Proceedings of The 33rd International Conference on Machine Learning},
  pages = 	 {1548--1557},
  year = 	 {2016},
  volume = 	 {48},
  publisher = 	 {PMLR},
  url = 	 {http://proceedings.mlr.press/v48/wangd16.html},
}



@InProceedings{liSra16b,
  author =       {Chengtao Li and  Suvrit Sra and Stefanie Jegelka},
  title =        {Gaussian quadrature for matrix inverse forms with applications},
  booktitle =    icml,
  month     =    {Jun.},
  year =         2016,
  url_pdf =      {http://proceedings.mlr.press/v48/lig16.pdf}
}



@InProceedings{marSra16,
  author =       {Zelda Mariet and  Suvrit Sra},
  title =        {{Diversity Networks: Neural Network Compression Using Determinantal Point Processes}},
  booktitle=     {International Conference on Learning Representations (ICLR)},
  OPTnote =      {arXiv:1511.0577},
  year =         2016,
  month =        {May},
  url_pdf =      {https://arxiv.org/abs/1511.05077}
}



@Article{sraRoot,
 author = {Suvrit Sra},
 title = {On the matrix square root and geometric optimization},
 journal = {Electronic Journal on Linear Algebra (ELA)},
 year = {2016},
 url_pdf = {http://repository.uwyo.edu/ela/vol31/iss1/30/}
}



@InProceedings{reddiSra,
 author = {Sashank Reddi and Ahmed Hefny and  Suvrit Sra and Barnabas Poczos and Alexander J. Smola},
 title = {Stochastic variance reduction for nonconvex optimization},
 booktitle = icml,
 month     =    {Jun.},
 year = {2016},
 url_pdf = {http://proceedings.mlr.press/v48/reddi16.pdf}
}



@InProceedings{solomon,
  author =       {Justin Solomon and Gabriel Peyré and Vladimir Kim and  Suvrit Sra},
  title =        {{Entropic Metric Alignment for Correspondence Problems}},
  booktitle =    {ACM SIGGRAPH},
  month = {Jul.},
  year =         {2016},
  url_pdf = {http://dl.acm.org/citation.cfm?id=2925903}
}



@InCollection{sraHos16,
  author =       {Suvrit Sra and Reshad Hosseini},
  title =        {Geometric Optimization in Machine Learning},
  booktitle =    {Algorithmic Advances in Riemannian Geometry and Applications},
  publisher =    {Springer},
  year =         2016,
  url_pdf =      {https://link.springer.com/chapter/10.1007%2F978-3-319-45026-1_3}
}



@Article{srapd,
  author =       {Suvrit Sra},
  title =        {Positive definite matrices and the {S}-divergence},
  journal =      {Proceedings American Mathematical Society (PAMS)},
  year =         2016,
  url_pdf =      {http://www.ams.org/proc/2016-144-07/S0002-9939-2015-12953-X/S0002-9939-2015-12953-X.pdf}
}



@InProceedings{wangSaSra14,
 author = {Yu-Xiang Wang and Veeranjaneyulu Sadhanala and Wei Dai and Willie Neiswanger and  Suvrit Sra and Eric P. Xing},
 title = {{Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms}},
 booktitle=icml,
 month     =    {Jun.},
 year = {2016},
 url_pdf = {http://proceedings.mlr.press/v48/wangd16.html}
}



@InProceedings{zadeh,
  author =       {Pourya H. Zadeh and Reshad Hosseini and  Suvrit Sra},
  title =        {Geometric Mean Metric Learning},
  booktitle =    icml,
  month     =    {Jun.},
  year =         {2016},
  url_pdf =      {http://proceedings.mlr.press/v48/zadeh16.html}
}



@Article{boNes15,
author = {Lev Borisov and Patrizio Neff and Suvrit Sra and Christian Thiel},
title = {The sum of squared logarithms inequality in arbitrary dimensions},
journal = {Linear Algebra and its Applications (LAA)},
year = {2016},
url_pdf = {http://www.sciencedirect.com/science/article/pii/S0024379516302439}
}



@InProceedings{zhangSra16a,
 author = {Hongyi Zhang and  Suvrit Sra},
 title = {First-order methods for geodesically convex optimization},
 month     =    {Jun.},
 year = {2016},
 booktitle={Conference on Learning Theory (COLT)},
 url_pdf = {http://proceedings.mlr.press/v49/zhang16b.pdf}
}



@InProceedings{liJeSr16a,
  author =       {Chengtao Li and Stefanie Jegelka and Suvrit Sra},
  title =        {Efficient sampling for k-determinantal point processes},
  booktitle =    {Artificial Intelligence and Statistics (AISTATS)},
  year =         {2016},
  url_pdf =      {http://www.jmlr.org/proceedings/papers/v51/li16f.pdf}  
}



@InProceedings{adams16,
  author =       {Suvrit Sra and Adams Wei Yu and Mu Li and Alexander J. Smola},
  title =        {{AdaDelay: Delay sensitive distributed stochastic convex optimization}},
  booktitle =    {Artificial Intelligence and Statistics (AISTATS)},
  year =         {2016},
  url_pdf =      {http://proceedings.mlr.press/v51/sra16.html}
}




@InProceedings{hoSra.nips,
  author =       {Reshad Hosseini and Suvrit Sra},
  title =        {{Matrix Manifold Optimization for Gaussian Mixtures}},
  booktitle =    nips,
  year =         2015,
  month =        dec,
  url_pdf =      {https://papers.nips.cc/paper/5812-matrix-manifold-optimization-for-gaussian-mixtures.pdf}
}



@InProceedings{reddy,
  author =       {Sashank Reddi and Ahmed Hefny and Suvrit Sra and Barnabas Poczos and Alexander Smola},
  title =        {{On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants}},
  booktitle =    nips,
  year =         2015,
  month =        dec,
  url_pdf =      {https://papers.nips.cc/paper/5821-on-variance-reduction-in-stochastic-gradient-descent-and-its-asynchronous-variants.pdf}
}



@Article{sra15a,
author = {Suvrit Sra},
title = {{On inequalities for normalized Schur functions}},
journal = {European J. Combinatorics},
volume = {Volume 51},
year = {2016},
pages = {492-–494},
mon  = jan,
url_pdf = {http://www.sciencedirect.com/science/article/pii/S0195669815001717}
}



@Article{linSra14,
author = {Minghua Lin and Suvrit Sra},
title = {{Complete strong superadditivity of generalized matrix functions}},
journal = {Mathematical Notes},
year = {2015},
url_pdf = {https://arxiv.org/abs/1410.1958}
}




@Article{berSra15,
author = {Wolfgang Berndt and Suvrit Sra},
title = {{Hlawka-Popoviciu inequalities on positive definite tensors}},
journal = {Linear Algebra and its Applications},
volume = {486},
number = {1},
pages = {317--327},
year = {2015},
url_pdf = {http://www.sciencedirect.com/science/article/pii/S0024379515004966}
}



@InProceedings{reHeSra14,
author = {Sashank Reddi and Ahmed Hefny and Carlton Downey and Avinava Dubey and Suvrit Sra},
title = {{Large-scale randomized-coordinate descent methods with non-separable linear constraints}},
booktitle = {Uncertainty in Artificial Intelligence (UAI)},
mon     = {May},
year = {2015},
url_pdf = {http://auai.org/uai2015/proceedings/papers/191.pdf}
}



@Inproceedings{marSra15,
author = {Zelda Mariet and Suvrit Sra},
title = {{Fixed-point algorithms for learning determinantal point processes}},
booktitle = {International Conference on Machine Learning (ICML)},
mon     = {Jun},
year = {2015},
url_pdf = {http://proceedings.mlr.press/v37/mariet15.pdf}
}



@Article{sraHo15,
author = {Suvrit Sra and Reshad Hosseini},
title = {{Conic Geometric Optimization on the Manifold of Positive Definite Matrices}},
volume = {25},
number = {1},
pages  = {713--739},
journal = {SIAM J. Optimization (SIOPT)},
year = {2015},
url_pdf = {http://epubs.siam.org/doi/abs/10.1137/140978168?af=R}
}



@InProceedings{hoSra15,
author = {Reshad Hosseini and Suvrit Sra and L. Theis and M. Bethge},
title = {{Statistical inference with the Elliptical Gamma Distribution}},
booktitle = {Artificial Intelligence and Statistics (AISTATS)},
year = {2015},
volume = 18,
url_pdf = {http://www.sciencedirect.com/science/article/pii/S0167947316300251}
}


% KENJI


@inproceedings{kawaguchi2016deep,
title={Deep Learning without Poor Local Minima},
author={Kawaguchi, Kenji},
booktitle={Advances in Neural Information Processing Systems (NIPS)},
year={2016}
}



@inproceedings{kawaguchiAAAI2016,
title={Bounded Optimal Exploration in {MDP}},
author={Kenji Kawaguchi},
booktitle={Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI)},
pages = {1758--1764},
year={2016},
organization={AAAI Press}
}



@article{kawaguchi2016global,
title={Global Continuous Optimization with Error Bound and Fast Convergence},
author={Kawaguchi, Kenji and Maruyama, Yu and Zheng, Xiaoyu},
journal={Journal of Artificial Intelligence Research},
volume={56},
pages={153--195},
year={2016}
}



@inproceedings{kawaguchi2015bayesian,
title={Bayesian optimization with exponential convergence},
author={Kawaguchi, Kenji and Kaelbling, Leslie Pack and Lozano-P{\'e}rez, Tom{\'a}s},
booktitle={Advances in Neural Information Processing Systems (NIPS)},
pages={2809--2817},
year={2015}
}


%%%%%%%%%%%%%%%%%%%%
%% SASHA
%%%%%%%%%%%%%%%%%%%%



@article{golowich2017size,
  title={Size-Independent Sample Complexity of Neural Networks},
  author={Golowich, Noah and Rakhlin, Alexander and Shamir, Ohad},
  journal={arXiv preprint arXiv:1712.06541},
  year={2017}
}



@article{liang2017fisher,
  title={Fisher-rao metric, geometry, and complexity of neural networks},
  author={Liang, Tengyuan and Poggio, Tomaso and Rakhlin, Alexander and Stokes, James},
  journal={arXiv preprint arXiv:1711.01530},
  year={2017}
}



@article{cai2017weighted,
  title={Weighted Message Passing and Minimum Energy Flow for Heterogeneous Stochastic Block Models with Side Information},
  author={Cai, T Tony and Liang, Tengyuan and Rakhlin, Alexander},
  journal={arXiv preprint arXiv:1709.03907},
  year={2017}
}



@InProceedings{RagRakTel17,
  title =          {Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis},
  author =          {Maxim Raginsky and Alexander Rakhlin and Matus Telgarsky},
  booktitle =          {COLT},
  year =          {2017},
}



@InProceedings{FosRakSri17a,
  title =          {ZigZag: A New Approach to Adaptive Online Learning},
  author =          {Dylan J. Foster and Alexander Rakhlin and Karthik Sridharan},
  booktitle =          {COLT},
  year =          {2017},
}



@InProceedings{RakSri17a,
  title =          {On Equivalence of Martingale Tail Bounds and Deterministic Regret Inequalities},
  author =          {Alexander Rakhlin and Karthik Sridharan},
  booktitle =          {COLT},
  year =          {2017},
}



@inproceedings{rakhlin2017efficient,
  title={Efficient Online Multiclass Prediction on Graphs via Surrogate Losses},
  author={Rakhlin, Alexander and Sridharan, Karthik},
  booktitle={Artificial Intelligence and Statistics},
  year={2017}
}



@article{cai2017detection,
  title={On detection and structural reconstruction of small-world random networks},
  author={Cai, Tony and Liang, Tengyuan and Rakhlin, Alexander},
  journal={IEEE Transactions on Network Science and Engineering},
  volume={4},
  number={3},
  pages={165--176},
  year={2017},
}



@article{rakhlin2016tutorial,
  title={A tutorial on online supervised learning with applications to node classification in social networks},
  author={Rakhlin, Alexander and Sridharan, Karthik},
  journal={arXiv preprint arXiv:1608.09014},
  year={2016}
}



@inproceedings{raginsky2016information,
  title={Information-theoretic analysis of stability and bias of learning algorithms},
  author={Raginsky, Maxim and Rakhlin, Alexander and Tsao, Matthew and Wu, Yihong and Xu, Aolin},
  booktitle={Information Theory Workshop (ITW), 2016 IEEE},
  year={2016},
}



@article{cai2017computational,
  title={Computational and statistical boundaries for submatrix localization in a large noisy matrix},
  author={Cai, T Tony and Liang, Tengyuan and Rakhlin, Alexander and others},
  journal={The Annals of Statistics},
  volume={45},
  number={4},
  pages={1403--1430},
  year={2017},
}



@inproceedings{rakhlin2016bistro,
  title={BISTRO: An Efficient Relaxation-Based Method for Contextual Bandits},
  author={Rakhlin, Alexander and Sridharan, Karthik},
  booktitle={ICML},
  pages={1977--1985},
  year={2016}
}



@article{cai2016geometric,
  title={Geometric inference for general high-dimensional linear inverse problems},
  author={Cai, T Tony and Liang, Tengyuan and Rakhlin, Alexander and others},
  journal={The Annals of Statistics},
  volume={44},
  number={4},
  pages={1536--1563},
  year={2016},
}



@article{cai2016inference,
  title={Inference via message passing on partially labeled stochastic block models},
  author={Cai, T Tony and Liang, Tengyuan and Rakhlin, Alexander},
  journal={arXiv preprint arXiv:1603.06923},
  year={2016}
}\">\n            <i class=\"fa fa-download fa-fw\"></i> Download BibTeX\n          </a>\n        </li>\n        <li>\n          <a href=\"//bibbase.org/rss?bib=http://ml.mit.edu//mlbib.bib\">\n            <i class=\"fa fa-rss fa-fw\"></i> RSS Feed\n          </a>\n          </li>\n      </ul>\n      </li>\n\n      \n\n\n      \n    </ul>\n\n\n    <div class=\"alert alert-success bibbase_msg\" id=\"bibbase_msg_embed\"\n         style=\"display: none;\">\n\n      Excellent! 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In order to keep using Mendeley with BibBase past April\n        14th, you need to:\n        <ol>\n          <li>renew the authorization for BibBase on Mendeley, and</li>\n          <li>update the BibBase URL\n            in your page the same way you did when you initially set up\n            this page.\n          </li>\n        </ol>\n      </p>\n\n      <p>\n        <a href=\"http://bibbase.org/cgi-bin/mendeley2/get.py\">\n          <i class=\"fa fa-angle-double-right\"></i>\n          Fix it now</a>\n      </p>\n    </div>\n\n  </div>\n\n\n  <div id=\"bibbase_body\">\n    \n  \n  <div class=\"bibbase_group_whole\" id=\"group_2018\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2018')\"\n      onkeypress=\"toggleGroup('group_2018')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2018</span>\n      <span class=\"bibbase_group_count\">\n        \n        (3)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"wang-gehring-kohli-jegelka-batchedlargescalebayesianoptimizationinhighdimensionalspaces-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/abs/1706.01445\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'wang-gehring-kohli-jegelka-batchedlargescalebayesianoptimizationinhighdimensionalspaces-2018', 'https://arxiv.org/abs/1706.01445', event);\">\n    Batched Large-scale Bayesian Optimization in High-dimensional Spaces.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Wang, Z.; Gehring, C.; Kohli, P.;  and Jegelka, S.\n</span>\n\n  \n\n</span>\n\n  In <i>International Conference on Artificial Intelligence and Statistics (AISTATS)</i>,  2018. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/abs/1706.01445\"\n     onclick=\"log_download('wang-gehring-kohli-jegelka-batchedlargescalebayesianoptimizationinhighdimensionalspaces-2018', 'https://arxiv.org/abs/1706.01445', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Batched Large-scale Bayesian Optimization in High-dimensional Spaces [link]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/wang-gehring-kohli-jegelka-batchedlargescalebayesianoptimizationinhighdimensionalspaces-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('wang-gehring-kohli-jegelka-batchedlargescalebayesianoptimizationinhighdimensionalspaces-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{wang18aistats,\n  author = \t {Zi Wang and Clement Gehring and Pushmeet Kohli and Stefanie Jegelka},\n  title = \t {Batched Large-scale Bayesian Optimization in High-dimensional Spaces},\n  booktitle = {International Conference on Artificial Intelligence and Statistics (AISTATS)},\n  year = \t 2018,\n  url_pdf = {https://arxiv.org/abs/1706.01445}}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"alvarezmelis-jaakkola-jegelka-structuredoptimaltransport-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/abs/1712.06199\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'alvarezmelis-jaakkola-jegelka-structuredoptimaltransport-2018', 'https://arxiv.org/abs/1712.06199', event);\">\n    Structured Optimal Transport.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Alvarez-Melis, D.; Jaakkola, T.;  and Jegelka, S.\n</span>\n\n  \n\n</span>\n\n  In <i>International Conference on Artificial Intelligence and Statistics (AISTATS)</i>,  2018. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/abs/1712.06199\"\n     onclick=\"log_download('alvarezmelis-jaakkola-jegelka-structuredoptimaltransport-2018', 'https://arxiv.org/abs/1712.06199', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Structured Optimal Transport [link]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/alvarezmelis-jaakkola-jegelka-structuredoptimaltransport-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('alvarezmelis-jaakkola-jegelka-structuredoptimaltransport-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{alvarezM18,\n  author = \t {D. Alvarez-Melis and T. Jaakkola and S. Jegelka},\n  title = \t {Structured Optimal Transport},\n  booktitle = {International Conference on Artificial Intelligence and Statistics (AISTATS)},\n  year = \t 2018,\n  url_pdf = {https://arxiv.org/abs/1712.06199}}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mirzasoleiman-jegelka-krause-streamingnonmonotonesubmodularmaximizationpersonalizedvideosummarizationonthefly-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/abs/1706.03583\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mirzasoleiman-jegelka-krause-streamingnonmonotonesubmodularmaximizationpersonalizedvideosummarizationonthefly-2018', 'https://arxiv.org/abs/1706.03583', event);\">\n    Streaming Non-monotone Submodular Maximization: Personalized Video Summarization on the Fly.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Mirzasoleiman, B.; Jegelka, S.;  and Krause, A.\n</span>\n\n  \n\n</span>\n\n  In <i>AAAI Conference on Artificial Intelligence (AAAI)</i>,  2018. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/abs/1706.03583\"\n     onclick=\"log_download('mirzasoleiman-jegelka-krause-streamingnonmonotonesubmodularmaximizationpersonalizedvideosummarizationonthefly-2018', 'https://arxiv.org/abs/1706.03583', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Streaming Non-monotone Submodular Maximization: Personalized Video Summarization on the Fly [link]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mirzasoleiman-jegelka-krause-streamingnonmonotonesubmodularmaximizationpersonalizedvideosummarizationonthefly-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mirzasoleiman-jegelka-krause-streamingnonmonotonesubmodularmaximizationpersonalizedvideosummarizationonthefly-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{mirzasoleiman18,\n  author = \t {Baharan Mirzasoleiman and Stefanie Jegelka and Andreas Krause},\n  title = \t {Streaming Non-monotone Submodular Maximization: Personalized Video Summarization on the Fly},\n  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},\n  url_pdf = {https://arxiv.org/abs/1706.03583},\n  year = \t 2018}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2017\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2017')\"\n      onkeypress=\"toggleGroup('group_2017')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2017</span>\n      <span class=\"bibbase_group_count\">\n        \n        (35)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"louizos-shalit-mooij-sontag-zemel-welling-causaleffectinferencewithdeeplatentvariablemodels-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/pdf/1705.08821.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'louizos-shalit-mooij-sontag-zemel-welling-causaleffectinferencewithdeeplatentvariablemodels-2017', 'https://arxiv.org/pdf/1705.08821.pdf', event);\">\n    Causal Effect Inference with Deep Latent-Variable Models.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Louizos, C.; Shalit, U.; Mooij, J.; <a class=\"bibbase author link\" href=\"https://people.csail.mit.edu/dsontag/papers/biblio_topic.html\">Sontag, D.</a>; Zemel, R. S.;  and Welling, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 31st International Conference on Neural Information Processing Systems (NIPS)</i>, of <i>NIPS'17</i>,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/pdf/1705.08821.pdf\"\n     onclick=\"log_download('louizos-shalit-mooij-sontag-zemel-welling-causaleffectinferencewithdeeplatentvariablemodels-2017', 'https://arxiv.org/pdf/1705.08821.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Causal Effect Inference with Deep Latent-Variable Models [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/louizos-shalit-mooij-sontag-zemel-welling-causaleffectinferencewithdeeplatentvariablemodels-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>12 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('louizos-shalit-mooij-sontag-zemel-welling-causaleffectinferencewithdeeplatentvariablemodels-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{LouizosEtAl_nips17,\n  author    = {Christos Louizos and\n               Uri Shalit and\n               Joris Mooij and\n               David Sontag and\n               Richard S. Zemel and\n               Max Welling},\n  title     = {Causal Effect Inference with Deep Latent-Variable Models},\n booktitle = {Proceedings of the 31st International Conference on Neural Information Processing Systems (NIPS)},\n series = {NIPS&#x27;17},\n year = {2017},\n keywords = {Machine learning, Causal inference, Deep learning},\n url_Paper = {https://arxiv.org/pdf/1705.08821.pdf},\n abstract = {Learning individual-level causal effects from observational data, such as inferring the most effective medication for a specific patient, is a problem of growing importance for policy makers. The most important aspect of inferring causal effects from observational data is the handling of confounders, factors that affect both an intervention and its outcome. A carefully designed observational study attempts to measure all important confounders. However, even if one does not have direct access to all confounders, there may exist noisy and uncertain measurement of proxies for confounders. We build on recent advances in latent variable modelling to simultaneously estimate the unknown latent space summarizing the confounders and the causal effect. Our method is based on Variational Autoencoders (VAE) which follow the causal structure of inference with proxies. We show our method is significantly more robust than existing methods, and matches the state-of-the-art on previous benchmarks focused on individual treatment effects.}\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Learning individual-level causal effects from observational data, such as inferring the most effective medication for a specific patient, is a problem of growing importance for policy makers. The most important aspect of inferring causal effects from observational data is the handling of confounders, factors that affect both an intervention and its outcome. A carefully designed observational study attempts to measure all important confounders. However, even if one does not have direct access to all confounders, there may exist noisy and uncertain measurement of proxies for confounders. We build on recent advances in latent variable modelling to simultaneously estimate the unknown latent space summarizing the confounders and the causal effect. Our method is based on Variational Autoencoders (VAE) which follow the causal structure of inference with proxies. We show our method is significantly more robust than existing methods, and matches the state-of-the-art on previous benchmarks focused on individual treatment effects.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"shalit-johansson-sontag-estimatingindividualtreatmenteffectgeneralizationboundsandalgorithms-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://arxiv.org/pdf/1606.03976.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'shalit-johansson-sontag-estimatingindividualtreatmenteffectgeneralizationboundsandalgorithms-2017', 'http://arxiv.org/pdf/1606.03976.pdf', event);\">\n    Estimating individual treatment effect: generalization bounds and algorithms.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Shalit, U.; Johansson, F. D.;  and <a class=\"bibbase author link\" href=\"https://people.csail.mit.edu/dsontag/papers/biblio_topic.html\">Sontag, D.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 34th International Conference on Machine Learning (ICML)</i>, pages 3076–3085,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://arxiv.org/pdf/1606.03976.pdf\"\n     onclick=\"log_download('shalit-johansson-sontag-estimatingindividualtreatmenteffectgeneralizationboundsandalgorithms-2017', 'http://arxiv.org/pdf/1606.03976.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Estimating individual treatment effect: generalization bounds and algorithms [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/shalit-johansson-sontag-estimatingindividualtreatmenteffectgeneralizationboundsandalgorithms-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>7 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('shalit-johansson-sontag-estimatingindividualtreatmenteffectgeneralizationboundsandalgorithms-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{ShalitEtAl_icml17,\n  author    = {Uri Shalit and\n               Fredrik D. Johansson and\n               David Sontag},\n  title     = {Estimating individual treatment effect: generalization bounds and\n               algorithms},\n  booktitle = {Proceedings of the 34th International Conference on Machine Learning (ICML)},\n  pages     = {3076--3085},\n  year      = {2017},\n  keywords = {Machine learning, Causal inference, Deep learning},\n  url_Paper = {http://arxiv.org/pdf/1606.03976.pdf},\n  abstract = {There is intense interest in applying machine learning to problems of causal inference in fields such as healthcare, economics and education. In particular, individual-level causal inference has important applications such as precision medicine. We give a new theoretical analysis and family of algorithms for predicting individual treatment effect (ITE) from observational data, under the assumption known as strong ignorability. The algorithms learn a &quot;balanced&quot; representation such that the induced treated and control distributions look similar. We give a novel, simple and intuitive generalization-error bound showing that the expected ITE estimation error of a representation is bounded by a sum of the standard generalization-error of that representation and the distance between the treated and control distributions induced by the representation. We use Integral Probability Metrics to measure distances between distributions, deriving explicit bounds for the Wasserstein and Maximum Mean Discrepancy (MMD) distances. Experiments on real and simulated data show the new algorithms match or outperform the state-of-the-art.}\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  There is intense interest in applying machine learning to problems of causal inference in fields such as healthcare, economics and education. In particular, individual-level causal inference has important applications such as precision medicine. We give a new theoretical analysis and family of algorithms for predicting individual treatment effect (ITE) from observational data, under the assumption known as strong ignorability. The algorithms learn a \"balanced\" representation such that the induced treated and control distributions look similar. We give a novel, simple and intuitive generalization-error bound showing that the expected ITE estimation error of a representation is bounded by a sum of the standard generalization-error of that representation and the distance between the treated and control distributions induced by the representation. We use Integral Probability Metrics to measure distances between distributions, deriving explicit bounds for the Wasserstein and Maximum Mean Discrepancy (MMD) distances. Experiments on real and simulated data show the new algorithms match or outperform the state-of-the-art.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"jernite-choromanska-sontag-simultaneouslearningoftreesandrepresentationsforextremeclassificationanddensityestimation-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/pdf/1610.04658.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'jernite-choromanska-sontag-simultaneouslearningoftreesandrepresentationsforextremeclassificationanddensityestimation-2017', 'https://arxiv.org/pdf/1610.04658.pdf', event);\">\n    Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Jernite, Y.; Choromanska, A.;  and <a class=\"bibbase author link\" href=\"https://people.csail.mit.edu/dsontag/papers/biblio_topic.html\">Sontag, D.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 34th International Conference on Machine Learning (ICML)</i>, pages 1665–1674,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/pdf/1610.04658.pdf\"\n     onclick=\"log_download('jernite-choromanska-sontag-simultaneouslearningoftreesandrepresentationsforextremeclassificationanddensityestimation-2017', 'https://arxiv.org/pdf/1610.04658.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/jernite-choromanska-sontag-simultaneouslearningoftreesandrepresentationsforextremeclassificationanddensityestimation-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('jernite-choromanska-sontag-simultaneouslearningoftreesandrepresentationsforextremeclassificationanddensityestimation-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{JerniteEtAl_icml17,\n  author    = {Yacine Jernite and\n               Anna Choromanska and\n               David Sontag},\n  title     = {Simultaneous Learning of Trees and Representations for Extreme Classification\n               and Density Estimation},\n  booktitle = {Proceedings of the 34th International Conference on Machine Learning (ICML)},\n  pages     = {1665--1674},\n  year      = {2017},\n  keywords = {Machine learning, Natural language processing, Deep learning},\n  url_Paper = {https://arxiv.org/pdf/1610.04658.pdf},\n  abstract = {We consider multi-class classification where the predictor has a hierarchical structure that allows for a very large number of labels both at train and test time. The predictive power of such models can heavily depend on the structure of the tree, and although past work showed how to learn the tree structure, it expected that the feature vectors remained static. We provide a novel algorithm to simultaneously perform representation learning for the input data and learning of the hierarchical predictor. Our approach optimizes an objective function which favors balanced and easily-separable multi-way node partitions. We theoretically analyze this objective, showing that it gives rise to a boosting style property and a bound on classification error. We next show how to extend the algorithm to conditional density estimation. We empirically validate both variants of the algorithm on text classification and language modeling, respectively, and show that they compare favorably to common baselines in terms of accuracy and running time.}\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  We consider multi-class classification where the predictor has a hierarchical structure that allows for a very large number of labels both at train and test time. The predictive power of such models can heavily depend on the structure of the tree, and although past work showed how to learn the tree structure, it expected that the feature vectors remained static. We provide a novel algorithm to simultaneously perform representation learning for the input data and learning of the hierarchical predictor. Our approach optimizes an objective function which favors balanced and easily-separable multi-way node partitions. We theoretically analyze this objective, showing that it gives rise to a boosting style property and a bound on classification error. We next show how to extend the algorithm to conditional density estimation. We empirically validate both variants of the algorithm on text classification and language modeling, respectively, and show that they compare favorably to common baselines in terms of accuracy and running time.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"krishnan-shalit-sontag-structuredinferencenetworksfornonlinearstatespacemodels-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/pdf/1609.09869.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'krishnan-shalit-sontag-structuredinferencenetworksfornonlinearstatespacemodels-2017', 'https://arxiv.org/pdf/1609.09869.pdf', event);\">\n    Structured Inference Networks for Nonlinear State Space Models.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Krishnan, R. G.; Shalit, U.;  and <a class=\"bibbase author link\" href=\"https://people.csail.mit.edu/dsontag/papers/biblio_topic.html\">Sontag, D.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence</i>, pages 2101–2109,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/pdf/1609.09869.pdf\"\n     onclick=\"log_download('krishnan-shalit-sontag-structuredinferencenetworksfornonlinearstatespacemodels-2017', 'https://arxiv.org/pdf/1609.09869.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Structured Inference Networks for Nonlinear State Space Models [pdf]\"\n       title=\" paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/krishnan-shalit-sontag-structuredinferencenetworksfornonlinearstatespacemodels-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>3 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('krishnan-shalit-sontag-structuredinferencenetworksfornonlinearstatespacemodels-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{KrishnanEtAl_aaai17,\n  author    = {Rahul G. Krishnan and\n               Uri Shalit and\n               David Sontag},\n  title     = {Structured Inference Networks for Nonlinear State Space Models},\n  booktitle = {Proceedings of the Thirty-First {AAAI} Conference on Artificial Intelligence},\n  pages     = {2101--2109},\n  year      = {2017},\n  keywords = {Machine learning, Unsupervised learning, Deep learning, Health care, Approximate inference in graphical models},\n  url_Paper = {https://arxiv.org/pdf/1609.09869.pdf},\n  abstract = {Gaussian state space models have been used for decades as generative models of sequential data. They admit an intuitive probabilistic interpretation, have a simple functional form, and enjoy widespread adoption. We introduce a unified algorithm to efficiently learn a broad class of linear and non-linear state space models, including variants where the emission and transition distributions are modeled by deep neural networks. Our learning algorithm simultaneously learns a compiled inference network and the generative model, leveraging a structured variational approximation parameterized by recurrent neural networks to mimic the posterior distribution. We apply the learning algorithm to both synthetic and real-world datasets, demonstrating its scalability and versatility. We find that using the structured approximation to the posterior results in models with significantly higher held-out likelihood.}\n}\n\n\n% TOMMI\n\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Gaussian state space models have been used for decades as generative models of sequential data. They admit an intuitive probabilistic interpretation, have a simple functional form, and enjoy widespread adoption. We introduce a unified algorithm to efficiently learn a broad class of linear and non-linear state space models, including variants where the emission and transition distributions are modeled by deep neural networks. Our learning algorithm simultaneously learns a compiled inference network and the generative model, leveraging a structured variational approximation parameterized by recurrent neural networks to mimic the posterior distribution. We apply the learning algorithm to both synthetic and real-world datasets, demonstrating its scalability and versatility. We find that using the structured approximation to the posterior results in models with significantly higher held-out likelihood.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"zhang-barzilay-jaakkola-aspectaugmentedadversarialnetworksfordomainadaptation-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Zhang_etal-TACL17.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'zhang-barzilay-jaakkola-aspectaugmentedadversarialnetworksfordomainadaptation-2017', 'https://people.csail.mit.edu/tommi/papers/Zhang_etal-TACL17.pdf', event);\">\n    Aspect-augmented Adversarial Networks for Domain Adaptation.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Zhang, Y.; Barzilay, R.;  and Jaakkola, T.\n</span>\n\n  \n\n</span>\n\n  <i>Transactions of the Association for Computational Linguistics (TACL)</i>.  2017.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Zhang_etal-TACL17.pdf\"\n     onclick=\"log_download('zhang-barzilay-jaakkola-aspectaugmentedadversarialnetworksfordomainadaptation-2017', 'https://people.csail.mit.edu/tommi/papers/Zhang_etal-TACL17.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Aspect-augmented Adversarial Networks for Domain Adaptation [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/zhang-barzilay-jaakkola-aspectaugmentedadversarialnetworksfordomainadaptation-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('zhang-barzilay-jaakkola-aspectaugmentedadversarialnetworksfordomainadaptation-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{Zhang_etal-TACL2017,\ntitle = {Aspect-augmented Adversarial Networks for Domain Adaptation},\nauthor = {Y. Zhang and R. Barzilay and T. Jaakkola},\njournal = {Transactions of the Association for Computational Linguistics (TACL)},\nyear = {2017},\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/Zhang_etal-TACL17.pdf},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"melis-jaakkola-acausalframeworkforexplainingthepredictionsofblackboxsequencetosequencemodels-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/AlvJaa_EMNLP2017.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'melis-jaakkola-acausalframeworkforexplainingthepredictionsofblackboxsequencetosequencemodels-2017', 'https://people.csail.mit.edu/tommi/papers/AlvJaa_EMNLP2017.pdf', event);\">\n    A causal framework for explaining the predictions of black-box sequence-to-sequence models.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Melis, D. A.;  and Jaakkola, T.\n</span>\n\n  \n\n</span>\n\n  In <i>Empirical Methods in Natural Language Processing (EMNLP)</i>,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/AlvJaa_EMNLP2017.pdf\"\n     onclick=\"log_download('melis-jaakkola-acausalframeworkforexplainingthepredictionsofblackboxsequencetosequencemodels-2017', 'https://people.csail.mit.edu/tommi/papers/AlvJaa_EMNLP2017.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"A causal framework for explaining the predictions of black-box sequence-to-sequence models [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/melis-jaakkola-acausalframeworkforexplainingthepredictionsofblackboxsequencetosequencemodels-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('melis-jaakkola-acausalframeworkforexplainingthepredictionsofblackboxsequencetosequencemodels-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{AlvJaa_EMNLP2017,\nauthor = {D. Alvarez Melis and T. Jaakkola},\ntitle = {A causal framework for explaining the predictions of black-box sequence-to-sequence models},\nbooktitle = {Empirical Methods in Natural Language Processing (EMNLP)},\nyear = {2017},\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/AlvJaa_EMNLP2017.pdf},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lei-jin-barzilay-jaakkola-derivingneuralarchitecturesfromsequenceandgraphkernels-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Lei_etal_ICML2017.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'lei-jin-barzilay-jaakkola-derivingneuralarchitecturesfromsequenceandgraphkernels-2017', 'https://people.csail.mit.edu/tommi/papers/Lei_etal_ICML2017.pdf', event);\">\n    Deriving Neural Architectures from Sequence and Graph Kernels.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Lei, T.; Jin, W.; Barzilay, R.;  and Jaakkola, T.\n</span>\n\n  \n\n</span>\n\n  In <i>International Conference on Machine Learning (ICML)</i>,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Lei_etal_ICML2017.pdf\"\n     onclick=\"log_download('lei-jin-barzilay-jaakkola-derivingneuralarchitecturesfromsequenceandgraphkernels-2017', 'https://people.csail.mit.edu/tommi/papers/Lei_etal_ICML2017.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Deriving Neural Architectures from Sequence and Graph Kernels [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lei-jin-barzilay-jaakkola-derivingneuralarchitecturesfromsequenceandgraphkernels-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lei-jin-barzilay-jaakkola-derivingneuralarchitecturesfromsequenceandgraphkernels-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Lei_etal_ICML2017,\nauthor = {T. Lei and W. Jin and R. Barzilay and T. Jaakkola},\ntitle = {Deriving Neural Architectures from Sequence and Graph Kernels},\nbooktitle = {International Conference on Machine Learning (ICML)},\nyear = {2017},\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/Lei_etal_ICML2017.pdf},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mueller-gifford-jaakkola-sequencetobettersequencecontinuousrevisionofcombinatorialstructures-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/seq2betterseqICML17.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mueller-gifford-jaakkola-sequencetobettersequencecontinuousrevisionofcombinatorialstructures-2017', 'https://people.csail.mit.edu/tommi/papers/seq2betterseqICML17.pdf', event);\">\n    Sequence to Better Sequence: Continuous Revision of Combinatorial Structures.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Mueller, J.; Gifford, D.;  and Jaakkola, T.\n</span>\n\n  \n\n</span>\n\n  In <i>International Conference on Machine Learning (ICML)</i>,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/seq2betterseqICML17.pdf\"\n     onclick=\"log_download('mueller-gifford-jaakkola-sequencetobettersequencecontinuousrevisionofcombinatorialstructures-2017', 'https://people.csail.mit.edu/tommi/papers/seq2betterseqICML17.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Sequence to Better Sequence: Continuous Revision of Combinatorial Structures [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mueller-gifford-jaakkola-sequencetobettersequencecontinuousrevisionofcombinatorialstructures-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mueller-gifford-jaakkola-sequencetobettersequencecontinuousrevisionofcombinatorialstructures-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Mueller_etal_ICML2017,\nauthor = {J. Mueller and D. Gifford and T. Jaakkola},\ntitle = {Sequence to Better Sequence: Continuous Revision of Combinatorial Structures},\nbooktitle = {International Conference on Machine Learning (ICML)},\nyear = {2017},\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/seq2betterseqICML17.pdf},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"zhao-yue-katabi-jaakkola-bianchi-learningsleepstagesfromradiosignalsaconditionaladversarialarchitecture-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Zhao_etal_ICML2017.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'zhao-yue-katabi-jaakkola-bianchi-learningsleepstagesfromradiosignalsaconditionaladversarialarchitecture-2017', 'https://people.csail.mit.edu/tommi/papers/Zhao_etal_ICML2017.pdf', event);\">\n    Learning Sleep Stages from Radio Signals: A Conditional Adversarial Architecture.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Zhao, M.; Yue, S.; Katabi, D.; Jaakkola, T.;  and Bianchi, M.\n</span>\n\n  \n\n</span>\n\n  In <i>International Conference on Machine Learning (ICML)</i>,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Zhao_etal_ICML2017.pdf\"\n     onclick=\"log_download('zhao-yue-katabi-jaakkola-bianchi-learningsleepstagesfromradiosignalsaconditionaladversarialarchitecture-2017', 'https://people.csail.mit.edu/tommi/papers/Zhao_etal_ICML2017.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Learning Sleep Stages from Radio Signals: A Conditional Adversarial Architecture [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/zhao-yue-katabi-jaakkola-bianchi-learningsleepstagesfromradiosignalsaconditionaladversarialarchitecture-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('zhao-yue-katabi-jaakkola-bianchi-learningsleepstagesfromradiosignalsaconditionaladversarialarchitecture-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Zhao_etal_ICML2017,\nauthor = {M. Zhao and S. Yue and D. Katabi and T. Jaakkola and M. Bianchi},\ntitle = {Learning Sleep Stages from Radio Signals: A Conditional Adversarial Architecture},\nbooktitle = {International Conference on Machine Learning (ICML)},\nyear = {2017},\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/Zhao_etal_ICML2017.pdf},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mueller-jaakkola-gifford-modelingpersistenttrendsindistributions-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/persistentTrends.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mueller-jaakkola-gifford-modelingpersistenttrendsindistributions-2017', 'https://people.csail.mit.edu/tommi/papers/persistentTrends.pdf', event);\">\n    Modeling Persistent Trends in Distributions.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Mueller, J.; Jaakkola, T.;  and Gifford, D.\n</span>\n\n  \n\n</span>\n\n  <i>Journal of the American Statistical Association</i>.  2017.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/persistentTrends.pdf\"\n     onclick=\"log_download('mueller-jaakkola-gifford-modelingpersistenttrendsindistributions-2017', 'https://people.csail.mit.edu/tommi/papers/persistentTrends.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Modeling Persistent Trends in Distributions [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mueller-jaakkola-gifford-modelingpersistenttrendsindistributions-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mueller-jaakkola-gifford-modelingpersistenttrendsindistributions-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{Mueller_etal_JASA_2017,\nauthor = {J. Mueller and T. Jaakkola and D. Gifford},\ntitle = {Modeling Persistent Trends in Distributions},\njournal = {Journal of the American Statistical Association},\nyear = {2017},\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/persistentTrends.pdf},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"coley-barzilay-jaakkola-green-jensen-predictionoforganicreactionoutcomesusingmachinelearning-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Connor_etal_ACS_2017.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'coley-barzilay-jaakkola-green-jensen-predictionoforganicreactionoutcomesusingmachinelearning-2017', 'https://people.csail.mit.edu/tommi/papers/Connor_etal_ACS_2017.pdf', event);\">\n    Prediction of Organic Reaction Outcomes Using Machine Learning.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Coley, C. W.; Barzilay, R.; Jaakkola, T.; Green, W. H.;  and Jensen, K. F.\n</span>\n\n  \n\n</span>\n\n  <i>ACS Central Science</i>.  2017.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Connor_etal_ACS_2017.pdf\"\n     onclick=\"log_download('coley-barzilay-jaakkola-green-jensen-predictionoforganicreactionoutcomesusingmachinelearning-2017', 'https://people.csail.mit.edu/tommi/papers/Connor_etal_ACS_2017.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Prediction of Organic Reaction Outcomes Using Machine Learning [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/DOI: 10.1021/acscentsci.7b00064\"\n     onclick=\"log_download('coley-barzilay-jaakkola-green-jensen-predictionoforganicreactionoutcomesusingmachinelearning-2017', 'http://doi.org/DOI: 10.1021/acscentsci.7b00064', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/coley-barzilay-jaakkola-green-jensen-predictionoforganicreactionoutcomesusingmachinelearning-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>3 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('coley-barzilay-jaakkola-green-jensen-predictionoforganicreactionoutcomesusingmachinelearning-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{Connor_etal_ACS_2017,\ntitle = {Prediction of Organic Reaction Outcomes Using Machine Learning},\nauthor = {C. W. Coley and R. Barzilay and T. Jaakkola and W. H. Green and K. F. Jensen},\njournal = {ACS Central Science},\nDOI = {DOI: 10.1021/acscentsci.7b00064},\nyear = {2017},\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/Connor_etal_ACS_2017.pdf},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"alvarezmelis-jaakkola-treestructureddecodingwithdoublyrecurrentneuralnetworks-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/AlvJaa_ICLR2017.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'alvarezmelis-jaakkola-treestructureddecodingwithdoublyrecurrentneuralnetworks-2017', 'https://people.csail.mit.edu/tommi/papers/AlvJaa_ICLR2017.pdf', event);\">\n    Tree Structured Decoding with Doubly Recurrent Neural Networks.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Alvarez-Melis, D.;  and Jaakkola, T.\n</span>\n\n  \n\n</span>\n\n  In <i>International Conference on Learning Representations (ICLR)</i>,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/AlvJaa_ICLR2017.pdf\"\n     onclick=\"log_download('alvarezmelis-jaakkola-treestructureddecodingwithdoublyrecurrentneuralnetworks-2017', 'https://people.csail.mit.edu/tommi/papers/AlvJaa_ICLR2017.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Tree Structured Decoding with Doubly Recurrent Neural Networks [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/alvarezmelis-jaakkola-treestructureddecodingwithdoublyrecurrentneuralnetworks-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('alvarezmelis-jaakkola-treestructureddecodingwithdoublyrecurrentneuralnetworks-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Alvarez_etal_ICLR2017,\nauthor = {D. Alvarez-Melis and T. Jaakkola},\ntitle = {Tree Structured Decoding with Doubly Recurrent Neural Networks},\nbooktitle = {International Conference on Learning Representations (ICLR)},\nyear = {2017},\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/AlvJaa_ICLR2017.pdf},\n}\n\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mueller-reshef-du-jaakkola-learningoptimalinterventions-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Mueller_etal_aistats2017.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mueller-reshef-du-jaakkola-learningoptimalinterventions-2017', 'https://people.csail.mit.edu/tommi/papers/Mueller_etal_aistats2017.pdf', event);\">\n    Learning Optimal Interventions.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Mueller, J.; Reshef, D.; Du, G.;  and Jaakkola, T.\n</span>\n\n  \n\n</span>\n\n  In <i>Artificial Intelligence and Statistics (AISTATS)</i>,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Mueller_etal_aistats2017.pdf\"\n     onclick=\"log_download('mueller-reshef-du-jaakkola-learningoptimalinterventions-2017', 'https://people.csail.mit.edu/tommi/papers/Mueller_etal_aistats2017.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Learning Optimal Interventions [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mueller-reshef-du-jaakkola-learningoptimalinterventions-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mueller-reshef-du-jaakkola-learningoptimalinterventions-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Mueller_etal_aistats2017,\nauthor = {J. Mueller and D. Reshef and G. Du and T. Jaakkola},\ntitle = {Learning Optimal Interventions},\nbooktitle = {Artificial Intelligence and Statistics (AISTATS)},\nyear = {2017},\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/Mueller_etal_aistats2017.pdf},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"wang-jegelka-kaelbling-lozanoperez-focusedmodellearningandplanningfornongaussiancontinuousstateactionsystems-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://arxiv.org/abs/1607.07762\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'wang-jegelka-kaelbling-lozanoperez-focusedmodellearningandplanningfornongaussiancontinuousstateactionsystems-2017', 'http://arxiv.org/abs/1607.07762', event);\">\n    Focused Model-Learning and Planning for Non-Gaussian Continuous State-Action Systems.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Wang, Z.; Jegelka, S.; Kaelbling, L. P.;  and Lozano-Perez, T.\n</span>\n\n  \n\n</span>\n\n  In <i>IEEE International Conference on Robotics and Automation (ICRA)</i>,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://arxiv.org/abs/1607.07762\"\n     onclick=\"log_download('wang-jegelka-kaelbling-lozanoperez-focusedmodellearningandplanningfornongaussiancontinuousstateactionsystems-2017', 'http://arxiv.org/abs/1607.07762', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Focused Model-Learning and Planning for Non-Gaussian Continuous State-Action Systems [link]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/wang-jegelka-kaelbling-lozanoperez-focusedmodellearningandplanningfornongaussiancontinuousstateactionsystems-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('wang-jegelka-kaelbling-lozanoperez-focusedmodellearningandplanningfornongaussiancontinuousstateactionsystems-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{wang17icra,\n  author = \t {Zi Wang and Stefanie Jegelka and Leslie Pack Kaelbling and Tomas Lozano-Perez},\n  title = \t {Focused Model-Learning and Planning for Non-Gaussian Continuous State-Action Systems},\n  booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},\n  url_pdf = {http://arxiv.org/abs/1607.07762},\n  year = \t 2017}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"shulkind-jegelka-wornell-multiplewavelengthsensingarraydesign-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Multiple wavelength sensing array design.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Shulkind, G.; Jegelka, S.;  and Wornell, G. W.\n</span>\n\n  \n\n</span>\n\n  In <i>ICASSP</i>,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/shulkind-jegelka-wornell-multiplewavelengthsensingarraydesign-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('shulkind-jegelka-wornell-multiplewavelengthsensingarraydesign-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{shulkind17,\n  author = \t {Gal Shulkind and Stefanie Jegelka and G. W. Wornell},\n  title = \t {Multiple wavelength sensing array design},\n  booktitle = {ICASSP},\n  year = \t 2017}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"song-jegelka-rathod-murphy-deepmetriclearningviafacilitylocation-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://openaccess.thecvf.com/content_cvpr_2017/papers/Song_Deep_Metric_Learning_CVPR_2017_paper.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'song-jegelka-rathod-murphy-deepmetriclearningviafacilitylocation-2017', 'http://openaccess.thecvf.com/content_cvpr_2017/papers/Song_Deep_Metric_Learning_CVPR_2017_paper.pdf', event);\">\n    Deep Metric Learning via Facility Location.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Song, H. O.; Jegelka, S.; Rathod, V.;  and Murphy, K.\n</span>\n\n  \n\n</span>\n\n  In <i>International Conference on Computer Vision and Pattern Recognition (CVPR)</i>,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://openaccess.thecvf.com/content_cvpr_2017/papers/Song_Deep_Metric_Learning_CVPR_2017_paper.pdf\"\n     onclick=\"log_download('song-jegelka-rathod-murphy-deepmetriclearningviafacilitylocation-2017', 'http://openaccess.thecvf.com/content_cvpr_2017/papers/Song_Deep_Metric_Learning_CVPR_2017_paper.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Deep Metric Learning via Facility Location [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/song-jegelka-rathod-murphy-deepmetriclearningviafacilitylocation-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('song-jegelka-rathod-murphy-deepmetriclearningviafacilitylocation-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{song17,\n  author = \t {Hyun Oh Song and Stefanie Jegelka and Vivek Rathod and Kevin Murphy},\n  title = \t {Deep Metric Learning via Facility Location},\n  booktitle = {International Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year = \t 2017,\n  url_pdf = {http://openaccess.thecvf.com/content_cvpr_2017/papers/Song_Deep_Metric_Learning_CVPR_2017_paper.pdf}}\n\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"staib-jegelka-robustbudgetallocationviacontinuoussubmodularfunctions-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://proceedings.mlr.press/v70/staib17a/staib17a.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'staib-jegelka-robustbudgetallocationviacontinuoussubmodularfunctions-2017', 'http://proceedings.mlr.press/v70/staib17a/staib17a.pdf', event);\">\n    Robust Budget Allocation via Continuous Submodular Functions.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Staib, M.;  and Jegelka, S.\n</span>\n\n  \n\n</span>\n\n  In <i>International Conference on Machine Learning (ICML)</i>,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://proceedings.mlr.press/v70/staib17a/staib17a.pdf\"\n     onclick=\"log_download('staib-jegelka-robustbudgetallocationviacontinuoussubmodularfunctions-2017', 'http://proceedings.mlr.press/v70/staib17a/staib17a.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Robust Budget Allocation via Continuous Submodular Functions [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/staib-jegelka-robustbudgetallocationviacontinuoussubmodularfunctions-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('staib-jegelka-robustbudgetallocationviacontinuoussubmodularfunctions-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{staib17,\n  author = \t {Matthew Staib and Stefanie Jegelka},\n  title = \t {Robust Budget Allocation via Continuous Submodular Functions},\n  booktitle = {International Conference on Machine Learning (ICML)},\n  year = \t 2017,\n  url_pdf = {http://proceedings.mlr.press/v70/staib17a/staib17a.pdf}}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"wang-jegelka-maxvalueentropysearchforefficientbayesianoptimization-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://proceedings.mlr.press/v70/wang17e/wang17e.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'wang-jegelka-maxvalueentropysearchforefficientbayesianoptimization-2017', 'http://proceedings.mlr.press/v70/wang17e/wang17e.pdf', event);\">\n    Max-value entropy search for efficient Bayesian Optimization.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Wang, Z.;  and Jegelka, S.\n</span>\n\n  \n\n</span>\n\n  In <i>International Conference on Machine Learning (ICML)</i>,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://proceedings.mlr.press/v70/wang17e/wang17e.pdf\"\n     onclick=\"log_download('wang-jegelka-maxvalueentropysearchforefficientbayesianoptimization-2017', 'http://proceedings.mlr.press/v70/wang17e/wang17e.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Max-value entropy search for efficient Bayesian Optimization [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/wang-jegelka-maxvalueentropysearchforefficientbayesianoptimization-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('wang-jegelka-maxvalueentropysearchforefficientbayesianoptimization-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{wang17mes,\n  author = \t {Zi Wang and Stefanie Jegelka},\n  title = \t {Max-value entropy search for efficient Bayesian Optimization},\n  booktitle = {International Conference on Machine Learning (ICML)},\n  year = \t 2017,\n  url_pdf = {http://proceedings.mlr.press/v70/wang17e/wang17e.pdf}}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"wang-li-jegelka-kohli-batchedhighdimensionalbayesianoptimizationviastructuralkernellearning-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://proceedings.mlr.press/v70/wang17h/wang17h.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'wang-li-jegelka-kohli-batchedhighdimensionalbayesianoptimizationviastructuralkernellearning-2017', 'http://proceedings.mlr.press/v70/wang17h/wang17h.pdf', event);\">\n    Batched High-dimensional Bayesian Optimization via Structural Kernel Learning.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Wang, Z.; Li, C.; Jegelka, S.;  and Kohli, P.\n</span>\n\n  \n\n</span>\n\n  In <i>International Conference on Machine Learning (ICML)</i>,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://proceedings.mlr.press/v70/wang17h/wang17h.pdf\"\n     onclick=\"log_download('wang-li-jegelka-kohli-batchedhighdimensionalbayesianoptimizationviastructuralkernellearning-2017', 'http://proceedings.mlr.press/v70/wang17h/wang17h.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Batched High-dimensional Bayesian Optimization via Structural Kernel Learning. [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/wang-li-jegelka-kohli-batchedhighdimensionalbayesianoptimizationviastructuralkernellearning-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('wang-li-jegelka-kohli-batchedhighdimensionalbayesianoptimizationviastructuralkernellearning-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{wangLi17,\n  author = \t {Zi Wang and Chengtao Li and Stefanie Jegelka and Pushmeet Kohli},\n  title = \t {Batched High-dimensional Bayesian Optimization via Structural Kernel Learning.},\n  booktitle = {International Conference on Machine Learning (ICML)},\n  year = \t 2017,\n  url_pdf = {http://proceedings.mlr.press/v70/wang17h/wang17h.pdf}}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"staib-jegelka-wassersteinkmeansforcloudregimehistogramclustering-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Wasserstein k-means++ for Cloud Regime Histogram Clustering.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Staib, M.;  and Jegelka, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Climate Informatics</i>,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/staib-jegelka-wassersteinkmeansforcloudregimehistogramclustering-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('staib-jegelka-wassersteinkmeansforcloudregimehistogramclustering-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{staib17ci,\n  author = \t {Matthew Staib and Stefanie Jegelka},\n  title = \t {Wasserstein k-means++ for Cloud Regime Histogram Clustering},\n  booktitle = {Climate Informatics},\n  year = \t 2017}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"staib-claici-solomon-jegelka-parallelstreamingwassersteinbarycenters-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/abs/1705.07443\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'staib-claici-solomon-jegelka-parallelstreamingwassersteinbarycenters-2017', 'https://arxiv.org/abs/1705.07443', event);\">\n    Parallel Streaming Wasserstein Barycenters.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Staib, M.; Claici, S.; Solomon, J.;  and Jegelka, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Advances in Neural Information Processing Systems (NIPS)</i>,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/abs/1705.07443\"\n     onclick=\"log_download('staib-claici-solomon-jegelka-parallelstreamingwassersteinbarycenters-2017', 'https://arxiv.org/abs/1705.07443', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Parallel Streaming Wasserstein Barycenters [link]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/staib-claici-solomon-jegelka-parallelstreamingwassersteinbarycenters-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('staib-claici-solomon-jegelka-parallelstreamingwassersteinbarycenters-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{staibCSJ17,\n  author = \t {Matthew Staib and\n               Sebastian Claici and\n               Justin Solomon and\n               Stefanie Jegelka},\n  title = \t {Parallel Streaming {W}asserstein Barycenters},\n  booktitle = {Advances in Neural Information Processing Systems (NIPS)},\n  url_pdf = {https://arxiv.org/abs/1705.07443},\n  year = \t 2017}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"li-jegelka-sra-polynomialtimealgorithmsfordualvolumesampling-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/abs/1703.02674\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'li-jegelka-sra-polynomialtimealgorithmsfordualvolumesampling-2017', 'https://arxiv.org/abs/1703.02674', event);\">\n    Polynomial Time Algorithms for Dual Volume Sampling.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Li, C.; Jegelka, S.;  and Sra, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Advances in Neural Information Processing Systems (NIPS)</i>,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/abs/1703.02674\"\n     onclick=\"log_download('li-jegelka-sra-polynomialtimealgorithmsfordualvolumesampling-2017', 'https://arxiv.org/abs/1703.02674', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Polynomial Time Algorithms for Dual Volume Sampling [link]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/li-jegelka-sra-polynomialtimealgorithmsfordualvolumesampling-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('li-jegelka-sra-polynomialtimealgorithmsfordualvolumesampling-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{li17dual,\n  author = \t {Chengtao Li and Stefanie Jegelka and Suvrit Sra},\n  title = \t {Polynomial Time Algorithms for Dual Volume Sampling},\n  booktitle = {Advances in Neural Information Processing Systems (NIPS)},\n  url_pdf = {https://arxiv.org/abs/1703.02674},\n  year = \t 2017}\n\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"kim-huang-jegelka-olivetti-virtualscreeningofinorganicmaterialssynthesisparameterswithdeeplearning-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.nature.com/articles/s41524-017-0055-6\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'kim-huang-jegelka-olivetti-virtualscreeningofinorganicmaterialssynthesisparameterswithdeeplearning-2017', 'https://www.nature.com/articles/s41524-017-0055-6', event);\">\n    Virtual screening of inorganic materials synthesis parameters with deep learning.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Kim, E.; Huang, K.; Jegelka, S.;  and Olivetti, E.\n</span>\n\n  \n\n</span>\n\n  <i>npj Computational Materials</i>, 3(53).  2017.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.nature.com/articles/s41524-017-0055-6\"\n     onclick=\"log_download('kim-huang-jegelka-olivetti-virtualscreeningofinorganicmaterialssynthesisparameterswithdeeplearning-2017', 'https://www.nature.com/articles/s41524-017-0055-6', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Virtual screening of inorganic materials synthesis parameters with deep learning [link]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/kim-huang-jegelka-olivetti-virtualscreeningofinorganicmaterialssynthesisparameterswithdeeplearning-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('kim-huang-jegelka-olivetti-virtualscreeningofinorganicmaterialssynthesisparameterswithdeeplearning-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@Article{kim17,\n  author = \t {Edward Kim and Kevin Huang and Stefanie Jegelka and Elsa Olivetti},\n  title = \t {Virtual screening of inorganic materials synthesis parameters with deep learning},\n  journal = \t {npj Computational Materials},\n  year = \t 2017,\n  volume = \t 3,\n  number = \t 53,\n  url_pdf = {https://www.nature.com/articles/s41524-017-0055-6}}\n\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"sra-logarithmicinequalitiesunderasymmetricpolynomialdominanceorder-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Logarithmic inequalities under a symmetric polynomial dominance order.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Sra, S.\n</span>\n\n  \n\n</span>\n\n  <i>Proceedings American Mathematical Society (PAMS)</i>. Oct 2017.\n  <span class=\"note\">ıt Accepted.</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/sra-logarithmicinequalitiesunderasymmetricpolynomialdominanceorder-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('sra-logarithmicinequalitiesunderasymmetricpolynomialdominanceorder-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@Article{sra.esym,\n  author =       {Suvrit Sra},\n  title =        {Logarithmic inequalities under a symmetric polynomial dominance order},\n  journal =      {Proceedings American Mathematical Society (PAMS)},\n  year =         2017,\n  month =        {Oct},\n  note  =        {{\\it Accepted.}},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mariet-sra-elementarysymmetricpolynomialsforoptimalexperimentaldesign-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/abs/1705.09677\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mariet-sra-elementarysymmetricpolynomialsforoptimalexperimentaldesign-2017', 'https://arxiv.org/abs/1705.09677', event);\">\n    Elementary symmetric polynomials for optimal experimental design.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Mariet, Z.;  and Sra, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Advances in Neural Information Processing Systems (NIPS)</i>,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/abs/1705.09677\"\n     onclick=\"log_download('mariet-sra-elementarysymmetricpolynomialsforoptimalexperimentaldesign-2017', 'https://arxiv.org/abs/1705.09677', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Elementary symmetric polynomials for optimal experimental design [link]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mariet-sra-elementarysymmetricpolynomialsforoptimalexperimentaldesign-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mariet-sra-elementarysymmetricpolynomialsforoptimalexperimentaldesign-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{marietSra17b,\n  author = \t {Zelda Mariet and Suvrit Sra},\n  title = \t {Elementary symmetric polynomials for optimal experimental design},\n  booktitle = {Advances in Neural Information Processing Systems (NIPS)},\n  url_pdf = {https://arxiv.org/abs/1705.09677},\n  year = \t 2017}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"jiang-sra-kulis-combinatorialtopicmodlingusingsmallvarianceasymptotics-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://arxiv.org/abs/1604.02027\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'jiang-sra-kulis-combinatorialtopicmodlingusingsmallvarianceasymptotics-2017', 'http://arxiv.org/abs/1604.02027', event);\">\n    Combinatorial topic modling using small variance asymptotics.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Jiang, K.; Sra, S.;  and Kulis, B.\n</span>\n\n  \n\n</span>\n\n  In <i>Artificial Intelligence and Statistics (AISTATS)</i>,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://arxiv.org/abs/1604.02027\"\n     onclick=\"log_download('jiang-sra-kulis-combinatorialtopicmodlingusingsmallvarianceasymptotics-2017', 'http://arxiv.org/abs/1604.02027', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Combinatorial topic modling using small variance asymptotics [link]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/jiang-sra-kulis-combinatorialtopicmodlingusingsmallvarianceasymptotics-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('jiang-sra-kulis-combinatorialtopicmodlingusingsmallvarianceasymptotics-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{sraKulis, \nauthor = {Ke Jiang and Suvrit Sra and Brian Kulis},\ntitle = {Combinatorial topic modling using small variance asymptotics},\nbooktitle = {Artificial Intelligence and Statistics (AISTATS)},\nyear = {2017},\nurl_pdf = {http://arxiv.org/abs/1604.02027}\n}\n\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"golowich-rakhlin-shamir-sizeindependentsamplecomplexityofneuralnetworks-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Size-Independent Sample Complexity of Neural Networks.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Golowich, N.; Rakhlin, A.;  and Shamir, O.\n</span>\n\n  \n\n</span>\n\n  <i>arXiv preprint arXiv:1712.06541</i>.  2017.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/golowich-rakhlin-shamir-sizeindependentsamplecomplexityofneuralnetworks-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('golowich-rakhlin-shamir-sizeindependentsamplecomplexityofneuralnetworks-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{golowich2017size,\n  title={Size-Independent Sample Complexity of Neural Networks},\n  author={Golowich, Noah and Rakhlin, Alexander and Shamir, Ohad},\n  journal={arXiv preprint arXiv:1712.06541},\n  year={2017}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"liang-poggio-rakhlin-stokes-fisherraometricgeometryandcomplexityofneuralnetworks-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Fisher-rao metric, geometry, and complexity of neural networks.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Liang, T.; Poggio, T.; Rakhlin, A.;  and Stokes, J.\n</span>\n\n  \n\n</span>\n\n  <i>arXiv preprint arXiv:1711.01530</i>.  2017.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/liang-poggio-rakhlin-stokes-fisherraometricgeometryandcomplexityofneuralnetworks-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('liang-poggio-rakhlin-stokes-fisherraometricgeometryandcomplexityofneuralnetworks-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{liang2017fisher,\n  title={Fisher-rao metric, geometry, and complexity of neural networks},\n  author={Liang, Tengyuan and Poggio, Tomaso and Rakhlin, Alexander and Stokes, James},\n  journal={arXiv preprint arXiv:1711.01530},\n  year={2017}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"cai-liang-rakhlin-weightedmessagepassingandminimumenergyflowforheterogeneousstochasticblockmodelswithsideinformation-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Weighted Message Passing and Minimum Energy Flow for Heterogeneous Stochastic Block Models with Side Information.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Cai, T T.; Liang, T.;  and Rakhlin, A.\n</span>\n\n  \n\n</span>\n\n  <i>arXiv preprint arXiv:1709.03907</i>.  2017.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/cai-liang-rakhlin-weightedmessagepassingandminimumenergyflowforheterogeneousstochasticblockmodelswithsideinformation-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('cai-liang-rakhlin-weightedmessagepassingandminimumenergyflowforheterogeneousstochasticblockmodelswithsideinformation-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{cai2017weighted,\n  title={Weighted Message Passing and Minimum Energy Flow for Heterogeneous Stochastic Block Models with Side Information},\n  author={Cai, T Tony and Liang, Tengyuan and Rakhlin, Alexander},\n  journal={arXiv preprint arXiv:1709.03907},\n  year={2017}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"raginsky-rakhlin-telgarsky-nonconvexlearningviastochasticgradientlangevindynamicsanonasymptoticanalysis-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Raginsky, M.; Rakhlin, A.;  and Telgarsky, M.\n</span>\n\n  \n\n</span>\n\n  In <i>COLT</i>,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/raginsky-rakhlin-telgarsky-nonconvexlearningviastochasticgradientlangevindynamicsanonasymptoticanalysis-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('raginsky-rakhlin-telgarsky-nonconvexlearningviastochasticgradientlangevindynamicsanonasymptoticanalysis-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{RagRakTel17,\n  title =          {Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis},\n  author =          {Maxim Raginsky and Alexander Rakhlin and Matus Telgarsky},\n  booktitle =          {COLT},\n  year =          {2017},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"foster-rakhlin-sridharan-zigzaganewapproachtoadaptiveonlinelearning-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  ZigZag: A New Approach to Adaptive Online Learning.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Foster, D. J.; Rakhlin, A.;  and Sridharan, K.\n</span>\n\n  \n\n</span>\n\n  In <i>COLT</i>,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/foster-rakhlin-sridharan-zigzaganewapproachtoadaptiveonlinelearning-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('foster-rakhlin-sridharan-zigzaganewapproachtoadaptiveonlinelearning-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{FosRakSri17a,\n  title =          {ZigZag: A New Approach to Adaptive Online Learning},\n  author =          {Dylan J. Foster and Alexander Rakhlin and Karthik Sridharan},\n  booktitle =          {COLT},\n  year =          {2017},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"rakhlin-sridharan-onequivalenceofmartingaletailboundsanddeterministicregretinequalities-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  On Equivalence of Martingale Tail Bounds and Deterministic Regret Inequalities.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Rakhlin, A.;  and Sridharan, K.\n</span>\n\n  \n\n</span>\n\n  In <i>COLT</i>,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/rakhlin-sridharan-onequivalenceofmartingaletailboundsanddeterministicregretinequalities-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('rakhlin-sridharan-onequivalenceofmartingaletailboundsanddeterministicregretinequalities-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{RakSri17a,\n  title =          {On Equivalence of Martingale Tail Bounds and Deterministic Regret Inequalities},\n  author =          {Alexander Rakhlin and Karthik Sridharan},\n  booktitle =          {COLT},\n  year =          {2017},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"rakhlin-sridharan-efficientonlinemulticlasspredictionongraphsviasurrogatelosses-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Efficient Online Multiclass Prediction on Graphs via Surrogate Losses.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Rakhlin, A.;  and Sridharan, K.\n</span>\n\n  \n\n</span>\n\n  In <i>Artificial Intelligence and Statistics</i>,  2017. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/rakhlin-sridharan-efficientonlinemulticlasspredictionongraphsviasurrogatelosses-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('rakhlin-sridharan-efficientonlinemulticlasspredictionongraphsviasurrogatelosses-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{rakhlin2017efficient,\n  title={Efficient Online Multiclass Prediction on Graphs via Surrogate Losses},\n  author={Rakhlin, Alexander and Sridharan, Karthik},\n  booktitle={Artificial Intelligence and Statistics},\n  year={2017}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"cai-liang-rakhlin-ondetectionandstructuralreconstructionofsmallworldrandomnetworks-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  On detection and structural reconstruction of small-world random networks.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Cai, T.; Liang, T.;  and Rakhlin, A.\n</span>\n\n  \n\n</span>\n\n  <i>IEEE Transactions on Network Science and Engineering</i>, 4(3): 165–176.  2017.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/cai-liang-rakhlin-ondetectionandstructuralreconstructionofsmallworldrandomnetworks-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('cai-liang-rakhlin-ondetectionandstructuralreconstructionofsmallworldrandomnetworks-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{cai2017detection,\n  title={On detection and structural reconstruction of small-world random networks},\n  author={Cai, Tony and Liang, Tengyuan and Rakhlin, Alexander},\n  journal={IEEE Transactions on Network Science and Engineering},\n  volume={4},\n  number={3},\n  pages={165--176},\n  year={2017},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"cai-liang-rakhlin-others-computationalandstatisticalboundariesforsubmatrixlocalizationinalargenoisymatrix-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Computational and statistical boundaries for submatrix localization in a large noisy matrix.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Cai, T T.; Liang, T.; Rakhlin, A.;  and others\n</span>\n\n  \n\n</span>\n\n  <i>The Annals of Statistics</i>, 45(4): 1403–1430.  2017.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/cai-liang-rakhlin-others-computationalandstatisticalboundariesforsubmatrixlocalizationinalargenoisymatrix-2017\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('cai-liang-rakhlin-others-computationalandstatisticalboundariesforsubmatrixlocalizationinalargenoisymatrix-2017')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{cai2017computational,\n  title={Computational and statistical boundaries for submatrix localization in a large noisy matrix},\n  author={Cai, T Tony and Liang, Tengyuan and Rakhlin, Alexander and others},\n  journal={The Annals of Statistics},\n  volume={45},\n  number={4},\n  pages={1403--1430},\n  year={2017},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2016\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2016')\"\n      onkeypress=\"toggleGroup('group_2016')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2016</span>\n      <span class=\"bibbase_group_count\">\n        \n        (46)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"garg-jaakkola-learningtreestructuredpotentialgames-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Garg_Jaakkola_NIPS2016.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'garg-jaakkola-learningtreestructuredpotentialgames-2016', 'https://people.csail.mit.edu/tommi/papers/Garg_Jaakkola_NIPS2016.pdf', event);\">\n    Learning Tree Structured Potential Games.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Garg, V.;  and Jaakkola, T.\n</span>\n\n  \n\n</span>\n\n  In <i>Advances in Neural Information Processing Systems (NIPS)</i>,  2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Garg_Jaakkola_NIPS2016.pdf\"\n     onclick=\"log_download('garg-jaakkola-learningtreestructuredpotentialgames-2016', 'https://people.csail.mit.edu/tommi/papers/Garg_Jaakkola_NIPS2016.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Learning Tree Structured Potential Games [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/garg-jaakkola-learningtreestructuredpotentialgames-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('garg-jaakkola-learningtreestructuredpotentialgames-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{GarJaa-nips2016,\nauthor = {V. Garg and T. Jaakkola},\ntitle = {Learning Tree Structured Potential Games},\nbooktitle = {Advances in Neural Information Processing Systems (NIPS)},\nyear = {2016},\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/Garg_Jaakkola_NIPS2016.pdf},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lei-barzilay-jaakkola-rationalizingneuralpredictions-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Lei_etal_EMNLP2016.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'lei-barzilay-jaakkola-rationalizingneuralpredictions-2016', 'https://people.csail.mit.edu/tommi/papers/Lei_etal_EMNLP2016.pdf', event);\">\n    Rationalizing Neural Predictions.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Lei, T.; Barzilay, R.;  and Jaakkola, T.\n</span>\n\n  \n\n</span>\n\n  In <i>Empirical Methods in Natural Language Processing (EMNLP)</i>,  2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Lei_etal_EMNLP2016.pdf\"\n     onclick=\"log_download('lei-barzilay-jaakkola-rationalizingneuralpredictions-2016', 'https://people.csail.mit.edu/tommi/papers/Lei_etal_EMNLP2016.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Rationalizing Neural Predictions [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lei-barzilay-jaakkola-rationalizingneuralpredictions-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lei-barzilay-jaakkola-rationalizingneuralpredictions-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Leietal-EMNLP2016,\nauthor = {T. Lei and R. Barzilay and T. Jaakkola},\ntitle = {Rationalizing Neural Predictions},\nbooktitle = {Empirical Methods in Natural Language Processing (EMNLP)},\nyear = {2016},\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/Lei_etal_EMNLP2016.pdf},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"honorio-jaakkola-structuredpredictionfromgaussianperturbationstolineartimeprincipledalgorithms-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/HonJaa-UAI2016.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'honorio-jaakkola-structuredpredictionfromgaussianperturbationstolineartimeprincipledalgorithms-2016', 'https://people.csail.mit.edu/tommi/papers/HonJaa-UAI2016.pdf', event);\">\n    Structured Prediction: From Gaussian Perturbations to Linear-Time Principled Algorithms.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Honorio, J.;  and Jaakkola, T.\n</span>\n\n  \n\n</span>\n\n  In <i>Uncertainty in Artificial Intelligence (UAI)</i>,  2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/HonJaa-UAI2016.pdf\"\n     onclick=\"log_download('honorio-jaakkola-structuredpredictionfromgaussianperturbationstolineartimeprincipledalgorithms-2016', 'https://people.csail.mit.edu/tommi/papers/HonJaa-UAI2016.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Structured Prediction: From Gaussian Perturbations to Linear-Time Principled Algorithms [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/honorio-jaakkola-structuredpredictionfromgaussianperturbationstolineartimeprincipledalgorithms-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('honorio-jaakkola-structuredpredictionfromgaussianperturbationstolineartimeprincipledalgorithms-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Honetal-UAI2016,\ntitle = {Structured Prediction: From Gaussian Perturbations to Linear-Time Principled Algorithms},\nauthor = {J. Honorio and T. Jaakkola},\nbooktitle = {Uncertainty in Artificial Intelligence (UAI)},\nyear = {2016},\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/HonJaa-UAI2016.pdf},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"hashimoto-alvarezmelis-jaakkola-wordembeddingsasmetricrecoveryinsemanticspaces-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/HasAlvJaa-TACL16.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'hashimoto-alvarezmelis-jaakkola-wordembeddingsasmetricrecoveryinsemanticspaces-2016', 'https://people.csail.mit.edu/tommi/papers/HasAlvJaa-TACL16.pdf', event);\">\n    Word embeddings as metric recovery in semantic spaces.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Hashimoto, T.; Alvarez-Melis, D.;  and Jaakkola, T.\n</span>\n\n  \n\n</span>\n\n  <i>Transactions of the Association for Computational Linguistics (TACL)</i>, 4.  2016.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/HasAlvJaa-TACL16.pdf\"\n     onclick=\"log_download('hashimoto-alvarezmelis-jaakkola-wordembeddingsasmetricrecoveryinsemanticspaces-2016', 'https://people.csail.mit.edu/tommi/papers/HasAlvJaa-TACL16.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Word embeddings as metric recovery in semantic spaces [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/hashimoto-alvarezmelis-jaakkola-wordembeddingsasmetricrecoveryinsemanticspaces-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('hashimoto-alvarezmelis-jaakkola-wordembeddingsasmetricrecoveryinsemanticspaces-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{Hasetal-TACL2016,\ntitle = {Word embeddings as metric recovery in semantic spaces},\nauthor = {T. Hashimoto and D. Alvarez-Melis and T. Jaakkola},\njournal = {Transactions of the Association for Computational Linguistics (TACL)},\nvolume = {4},\nyear = {2016},\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/HasAlvJaa-TACL16.pdf},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"hashimoto-jaakkola-gifford-learningpopulationleveldiffusionswithgenerativernns-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/hashimoto16.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'hashimoto-jaakkola-gifford-learningpopulationleveldiffusionswithgenerativernns-2016', 'https://people.csail.mit.edu/tommi/papers/hashimoto16.pdf', event);\">\n    Learning population-level diffusions with generative RNNs.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Hashimoto, T.; Jaakkola, T.;  and Gifford, D.\n</span>\n\n  \n\n</span>\n\n  In <i>International Conference on Machine Learning (ICML)</i>,  2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/hashimoto16.pdf\"\n     onclick=\"log_download('hashimoto-jaakkola-gifford-learningpopulationleveldiffusionswithgenerativernns-2016', 'https://people.csail.mit.edu/tommi/papers/hashimoto16.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Learning population-level diffusions with generative RNNs [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/hashimoto-jaakkola-gifford-learningpopulationleveldiffusionswithgenerativernns-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('hashimoto-jaakkola-gifford-learningpopulationleveldiffusionswithgenerativernns-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Hasetal-icml2016,\nauthor = {T. Hashimoto and T. Jaakkola and D. Gifford},\ntitle = {Learning population-level diffusions with generative {RNN}s},\nyear = {2016},\nbooktitle = {International Conference on Machine Learning (ICML)},\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/hashimoto16.pdf},\n}\n\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"zhang-gaddy-barzilay-jaakkola-tenpairstotagmultilingualpostaggingviacoarsemappingbetweenembeddings-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Zhangetal_naacl16.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'zhang-gaddy-barzilay-jaakkola-tenpairstotagmultilingualpostaggingviacoarsemappingbetweenembeddings-2016', 'https://people.csail.mit.edu/tommi/papers/Zhangetal_naacl16.pdf', event);\">\n    Ten Pairs to Tag – Multilingual POS Tagging via Coarse Mapping between Embeddings.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Zhang, Y.; Gaddy, D.; Barzilay, R.;  and Jaakkola, T.\n</span>\n\n  \n\n</span>\n\n  In <i>The 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL)</i>,  2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Zhangetal_naacl16.pdf\"\n     onclick=\"log_download('zhang-gaddy-barzilay-jaakkola-tenpairstotagmultilingualpostaggingviacoarsemappingbetweenembeddings-2016', 'https://people.csail.mit.edu/tommi/papers/Zhangetal_naacl16.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Ten Pairs to Tag – Multilingual POS Tagging via Coarse Mapping between Embeddings [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/zhang-gaddy-barzilay-jaakkola-tenpairstotagmultilingualpostaggingviacoarsemappingbetweenembeddings-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('zhang-gaddy-barzilay-jaakkola-tenpairstotagmultilingualpostaggingviacoarsemappingbetweenembeddings-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Zhangetal-NAACL16,\ntitle = {Ten Pairs to Tag -- Multilingual POS Tagging via Coarse Mapping between Embeddings},\nauthor = {Y. Zhang and D. Gaddy and R. Barzilay and T. Jaakkola},\nyear = {2016},\nbooktitle = {The 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL)},\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/Zhangetal_naacl16.pdf},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lei-joshi-barzilay-jaakkola-tymoshenko-moschitti-marquez-semisupervisedquestionretrievalwithgatedconvolutions-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Leietal_naacl16.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'lei-joshi-barzilay-jaakkola-tymoshenko-moschitti-marquez-semisupervisedquestionretrievalwithgatedconvolutions-2016', 'https://people.csail.mit.edu/tommi/papers/Leietal_naacl16.pdf', event);\">\n    Semi-supervised Question Retrieval with Gated Convolutions.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Lei, T.; Joshi, H.; Barzilay, R.; Jaakkola, T.; Tymoshenko, K.; Moschitti, A.;  and Marquez, L.\n</span>\n\n  \n\n</span>\n\n  In <i>The 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL)</i>,  2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Leietal_naacl16.pdf\"\n     onclick=\"log_download('lei-joshi-barzilay-jaakkola-tymoshenko-moschitti-marquez-semisupervisedquestionretrievalwithgatedconvolutions-2016', 'https://people.csail.mit.edu/tommi/papers/Leietal_naacl16.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Semi-supervised Question Retrieval with Gated Convolutions [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lei-joshi-barzilay-jaakkola-tymoshenko-moschitti-marquez-semisupervisedquestionretrievalwithgatedconvolutions-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lei-joshi-barzilay-jaakkola-tymoshenko-moschitti-marquez-semisupervisedquestionretrievalwithgatedconvolutions-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Leietal-NAACL16,\ntitle = {Semi-supervised Question Retrieval with Gated Convolutions},\nauthor= {T. Lei and H. Joshi and R. Barzilay and T. Jaakkola and K. Tymoshenko and A. Moschitti and L. Marquez},\nyear = 2016,\nbooktitle = {The 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL)},\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/Leietal_naacl16.pdf},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"garg-rudin-jaakkola-craftclusterspecificassortedfeatureselection-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Garg_etal_aistats16.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'garg-rudin-jaakkola-craftclusterspecificassortedfeatureselection-2016', 'https://people.csail.mit.edu/tommi/papers/Garg_etal_aistats16.pdf', event);\">\n    CRAFT: ClusteR-specific Assorted Feature selecTion.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Garg, V.; Rudin, C.;  and Jaakkola, T.\n</span>\n\n  \n\n</span>\n\n  In <i>Artificial Intelligence and Statistics (AISTATS)</i>,  2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Garg_etal_aistats16.pdf\"\n     onclick=\"log_download('garg-rudin-jaakkola-craftclusterspecificassortedfeatureselection-2016', 'https://people.csail.mit.edu/tommi/papers/Garg_etal_aistats16.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"CRAFT: ClusteR-specific Assorted Feature selecTion [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/garg-rudin-jaakkola-craftclusterspecificassortedfeatureselection-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('garg-rudin-jaakkola-craftclusterspecificassortedfeatureselection-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Gargetal-aistats2016,\ntitle = {CRAFT: ClusteR-specific Assorted Feature selecTion},\nauthor= {V. Garg and C. Rudin and T. Jaakkola},\nbooktitle={Artificial Intelligence and Statistics (AISTATS)},\nyear = {2016},\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/Garg_etal_aistats16.pdf},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"song-xiang-jegelka-savarese-deepmetriclearningvialiftedstructuredfeatureembedding-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Deep Metric Learning via Lifted Structured Feature Embedding.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Song, H.; Xiang, Y.; Jegelka, S.;  and Savarese, S.\n</span>\n\n  \n\n</span>\n\n  In <i>IEEE Conference on Computer Vision and Pattern Recognition (CVPR)</i>,  2016. \n  <span class=\"note\">Spotlight presentation</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/song-xiang-jegelka-savarese-deepmetriclearningvialiftedstructuredfeatureembedding-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('song-xiang-jegelka-savarese-deepmetriclearningvialiftedstructuredfeatureembedding-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{song16,\n  author = \t {H. Song and Y. Xiang and S. Jegelka and S. Savarese},\n  title = \t {Deep Metric Learning via Lifted Structured Feature Embedding},\n  booktitle = cvpr,\n  note      = {Spotlight presentation},\n  year = \t 2016}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"wang-zhou-jegelka-optimizationasestimationwithgaussianprocessesinbanditsettings-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Optimization as Estimation with Gaussian Processes in Bandit Settings.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Wang, Z.; Zhou, B.;  and Jegelka, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Artificial Intelligence and Statistics (AISTATS)</i>,  2016. \n  <span class=\"note\">Oral presentation</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/wang-zhou-jegelka-optimizationasestimationwithgaussianprocessesinbanditsettings-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('wang-zhou-jegelka-optimizationasestimationwithgaussianprocessesinbanditsettings-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{wangZJ16,\n  author = \t {Z. Wang and B. Zhou and S. Jegelka},\n  title = \t {Optimization as Estimation with {G}aussian Processes in Bandit Settings},\n  booktitle = aistats,\n  note = {Oral presentation},\n  year = \t 2016}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"azadi-feng-jegelka-darrell-auxiliaryimageregularizationfordeepcnnswithnoisylabels-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Auxiliary Image Regularization for Deep CNNs with Noisy Labels.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Azadi, S.; Feng, J.; Jegelka, S.;  and Darrell, T.\n</span>\n\n  \n\n</span>\n\n  In <i>International Conference on Learning Representations (ICLR)</i>,  2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/azadi-feng-jegelka-darrell-auxiliaryimageregularizationfordeepcnnswithnoisylabels-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('azadi-feng-jegelka-darrell-auxiliaryimageregularizationfordeepcnnswithnoisylabels-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{azadi16,\n  author = \t {Samaneh Azadi and Jiashi Feng and Stefanie Jegelka and Trevor Darrell},\n  title = \t {Auxiliary Image Regularization for Deep {CNN}s with Noisy Labels},\n  booktitle = iclr,\n  year = \t 2016}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"jegelka-bilmes-graphcutswithinteractingedgecostsexamplesapproximationsandalgorithms-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Graph Cuts with Interacting Edge Costs - Examples, Approximations, and Algorithms.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Jegelka, S.;  and Bilmes, J.\n</span>\n\n  \n\n</span>\n\n  <i>Mathematical Programming Series A</i>.  2016.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/jegelka-bilmes-graphcutswithinteractingedgecostsexamplesapproximationsandalgorithms-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('jegelka-bilmes-graphcutswithinteractingedgecostsexamplesapproximationsandalgorithms-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@Article{jegelkaBilmes16,\n  author = \t {Stefanie Jegelka and Jeff Bilmes},\n  title = \t {Graph Cuts with Interacting Edge Costs - Examples, Approximations, and Algorithms},\n  journal = \t {Mathematical Programming Series A},\n  year = \t 2016}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"djolonga-jegelka-tschiatschek-krause-cooperativegraphicalmodels-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Cooperative Graphical Models.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Djolonga, J.; Jegelka, S.; Tschiatschek, S.;  and Krause, A.\n</span>\n\n  \n\n</span>\n\n  In <i>Advances in Neural Information Processing Systems (NIPS)</i>,  2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/djolonga-jegelka-tschiatschek-krause-cooperativegraphicalmodels-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('djolonga-jegelka-tschiatschek-krause-cooperativegraphicalmodels-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{djolonga16,\n  author = \t {Josip Djolonga and Stefanie Jegelka and Sebastian Tschiatschek and Andreas Krause},\n  title = \t {Cooperative Graphical Models},\n  booktitle = nips,\n  year = \t 2016}\n\n\n% SUVRIT\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"reddi-sra-poczos-smola-proximalstochasticmethodsfornonsmoothnonconvexfinitesumoptimization-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://papers.nips.cc/paper/6116-proximal-stochastic-methods-for-nonsmooth-nonconvex-finite-sum-optimization.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'reddi-sra-poczos-smola-proximalstochasticmethodsfornonsmoothnonconvexfinitesumoptimization-2016', 'https://papers.nips.cc/paper/6116-proximal-stochastic-methods-for-nonsmooth-nonconvex-finite-sum-optimization.pdf', event);\">\n    Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Reddi, S.; Sra, S.; Poczos, B.;  and Smola, A. J.\n</span>\n\n  \n\n</span>\n\n  In <i>Advances in Neural Information Processing Systems (NIPS)</i>,  2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://papers.nips.cc/paper/6116-proximal-stochastic-methods-for-nonsmooth-nonconvex-finite-sum-optimization.pdf\"\n     onclick=\"log_download('reddi-sra-poczos-smola-proximalstochasticmethodsfornonsmoothnonconvexfinitesumoptimization-2016', 'https://papers.nips.cc/paper/6116-proximal-stochastic-methods-for-nonsmooth-nonconvex-finite-sum-optimization.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/reddi-sra-poczos-smola-proximalstochasticmethodsfornonsmoothnonconvexfinitesumoptimization-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('reddi-sra-poczos-smola-proximalstochasticmethodsfornonsmoothnonconvexfinitesumoptimization-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{ncprox,\n  author =       {Sashank Reddi and Suvrit Sra and Barnabas Poczos and Alexander J. Smola},\n  title =        {Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization},\n  booktitle =    nips,\n  url_pdf   =    {https://papers.nips.cc/paper/6116-proximal-stochastic-methods-for-nonsmooth-nonconvex-finite-sum-optimization.pdf},\n  year =         2016}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"zhang-reddi-sra-riemanniansvrgfaststochasticoptimizationonriemannianmanifolds-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://papers.nips.cc/paper/6515-riemannian-svrg-fast-stochastic-optimization-on-riemannian-manifolds.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'zhang-reddi-sra-riemanniansvrgfaststochasticoptimizationonriemannianmanifolds-2016', 'https://papers.nips.cc/paper/6515-riemannian-svrg-fast-stochastic-optimization-on-riemannian-manifolds.pdf', event);\">\n    Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Zhang, H.; Reddi, S.;  and Sra, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Advances in Neural Information Processing Systems (NIPS)</i>,  2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://papers.nips.cc/paper/6515-riemannian-svrg-fast-stochastic-optimization-on-riemannian-manifolds.pdf\"\n     onclick=\"log_download('zhang-reddi-sra-riemanniansvrgfaststochasticoptimizationonriemannianmanifolds-2016', 'https://papers.nips.cc/paper/6515-riemannian-svrg-fast-stochastic-optimization-on-riemannian-manifolds.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/zhang-reddi-sra-riemanniansvrgfaststochasticoptimizationonriemannianmanifolds-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('zhang-reddi-sra-riemanniansvrgfaststochasticoptimizationonriemannianmanifolds-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{rsvrg,\n  author =       {Hongyi Zhang and Sashank Reddi and Suvrit Sra},\n  title =        {Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds},\n  booktitle =    nips,\n  url_pdf =      {https://papers.nips.cc/paper/6515-riemannian-svrg-fast-stochastic-optimization-on-riemannian-manifolds.pdf},\n  year =         2016}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"li-jegelka-sra-fastmixingmarkovchainsforstronglyrayleighmeasuresdppsandconstrainedsampling-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://papers.nips.cc/paper/6182-fast-mixing-markov-chains-for-strongly-rayleigh-measures-dpps-and-constrained-sampling.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'li-jegelka-sra-fastmixingmarkovchainsforstronglyrayleighmeasuresdppsandconstrainedsampling-2016', 'https://papers.nips.cc/paper/6182-fast-mixing-markov-chains-for-strongly-rayleigh-measures-dpps-and-constrained-sampling.pdf', event);\">\n    Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Li, C.; Jegelka, S.;  and Sra, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Advances in Neural Information Processing Systems (NIPS)</i>,  2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://papers.nips.cc/paper/6182-fast-mixing-markov-chains-for-strongly-rayleigh-measures-dpps-and-constrained-sampling.pdf\"\n     onclick=\"log_download('li-jegelka-sra-fastmixingmarkovchainsforstronglyrayleighmeasuresdppsandconstrainedsampling-2016', 'https://papers.nips.cc/paper/6182-fast-mixing-markov-chains-for-strongly-rayleigh-measures-dpps-and-constrained-sampling.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/li-jegelka-sra-fastmixingmarkovchainsforstronglyrayleighmeasuresdppsandconstrainedsampling-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('li-jegelka-sra-fastmixingmarkovchainsforstronglyrayleighmeasuresdppsandconstrainedsampling-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{liJeSr16c,\n  author =       {Chengtao Li and Stefanie Jegelka and Suvrit Sra},\n  title =        {Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling},\n  booktitle =    nips,\n  url_pdf   =    {https://papers.nips.cc/paper/6182-fast-mixing-markov-chains-for-strongly-rayleigh-measures-dpps-and-constrained-sampling.pdf},\n  year =         2016}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mariet-sra-kroneckerdeterminantalpointprocesses-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://papers.nips.cc/paper/6296-kronecker-determinantal-point-processes.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mariet-sra-kroneckerdeterminantalpointprocesses-2016', 'https://papers.nips.cc/paper/6296-kronecker-determinantal-point-processes.pdf', event);\">\n    Kronecker Determinantal Point Processes.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Mariet, Z.;  and Sra, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Advances in Neural Information Processing Systems (NIPS)</i>,  2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://papers.nips.cc/paper/6296-kronecker-determinantal-point-processes.pdf\"\n     onclick=\"log_download('mariet-sra-kroneckerdeterminantalpointprocesses-2016', 'https://papers.nips.cc/paper/6296-kronecker-determinantal-point-processes.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Kronecker Determinantal Point Processes [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mariet-sra-kroneckerdeterminantalpointprocesses-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mariet-sra-kroneckerdeterminantalpointprocesses-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{krondpp,\n  author =       {Zelda Mariet and Suvrit Sra},\n  title =        {Kronecker Determinantal Point Processes},\n  url_pdf =      {https://papers.nips.cc/paper/6296-kronecker-determinantal-point-processes.pdf},\n  booktitle =    nips,\n  year =         2016}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"reddi-sra-poczos-smola-stochasticfrankwolfemethodsfornonconvexoptimization-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://ieeexplore.ieee.org/document/7852377/\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'reddi-sra-poczos-smola-stochasticfrankwolfemethodsfornonconvexoptimization-2016', 'http://ieeexplore.ieee.org/document/7852377/', event);\">\n    Stochastic Frank-Wolfe Methods for Nonconvex Optimization.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Reddi, S.; Sra, S.; Poczos, B.;  and Smola, A. J.\n</span>\n\n  \n\n</span>\n\n  In <i>54th Annual Allerton Conference on Communication, Control, and Computing</i>,  2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://ieeexplore.ieee.org/document/7852377/\"\n     onclick=\"log_download('reddi-sra-poczos-smola-stochasticfrankwolfemethodsfornonconvexoptimization-2016', 'http://ieeexplore.ieee.org/document/7852377/', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Stochastic Frank-Wolfe Methods for Nonconvex Optimization [link]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/reddi-sra-poczos-smola-stochasticfrankwolfemethodsfornonconvexoptimization-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('reddi-sra-poczos-smola-stochasticfrankwolfemethodsfornonconvexoptimization-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{ncfw,\n  author =       {Sashank Reddi and Suvrit Sra and Barnabas Poczos and Alexander J. Smola},\n  title =        {{Stochastic Frank-Wolfe Methods for Nonconvex Optimization}},\n  booktitle =    {54th Annual Allerton Conference on Communication, Control, and Computing},\n  url_pdf   =    {http://ieeexplore.ieee.org/document/7852377/},\n  year =         2016}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"reddi-sra-poczos-smola-fastincrementalmethodsforsmoothnonconvexoptimization-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Fast incremental methods for smooth nonconvex optimization.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Reddi, S.; Sra, S.; Poczos, B.;  and Smola, A. J.\n</span>\n\n  \n\n</span>\n\n  In <i>IEEE Conference on Decision and Control (CDC)</i>, Dec 2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/reddi-sra-poczos-smola-fastincrementalmethodsforsmoothnonconvexoptimization-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('reddi-sra-poczos-smola-fastincrementalmethodsforsmoothnonconvexoptimization-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{ncsaga,\n  author =       {Sashank Reddi and Suvrit Sra and Barnabas Poczos and Alexander J. Smola},\n  title =        {Fast incremental methods for smooth nonconvex optimization},\n  booktitle =    {IEEE Conference on Decision and Control (CDC)},\n  month =        {Dec},\n  year =         2016\n}\n\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"cherian-sra-positivedefinitematricesdatarepresentationandapplicationstocomputervision-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://suvrit.de/papers/cherian_sra_chapter.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'cherian-sra-positivedefinitematricesdatarepresentationandapplicationstocomputervision-2016', 'http://suvrit.de/papers/cherian_sra_chapter.pdf', event);\">\n    Positive Definite Matrices: Data Representation and Applications to Computer Vision.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Cherian, A.;  and Sra, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Algorithmic Advances in Riemannian Geometry and Applications</i>. Springer,  2016.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://suvrit.de/papers/cherian_sra_chapter.pdf\"\n     onclick=\"log_download('cherian-sra-positivedefinitematricesdatarepresentationandapplicationstocomputervision-2016', 'http://suvrit.de/papers/cherian_sra_chapter.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Positive Definite Matrices: Data Representation and Applications to Computer Vision [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/cherian-sra-positivedefinitematricesdatarepresentationandapplicationstocomputervision-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('cherian-sra-positivedefinitematricesdatarepresentationandapplicationstocomputervision-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InCollection{chSra16,\n  author =       {Anoop Cherian and Suvrit Sra},\n  title =        {{Positive Definite Matrices: Data Representation and Applications to Computer Vision}},\n  booktitle =    {Algorithmic Advances in Riemannian Geometry and Applications},\n  publisher =    {Springer},\n  year =         {2016},\n  url_pdf =      {http://suvrit.de/papers/cherian_sra_chapter.pdf}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"cherian-sra-riemanniandictionarylearningandsparsecodingforpositivedefinitematrices-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://ieeexplore.ieee.org/document/7565529/\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'cherian-sra-riemanniandictionarylearningandsparsecodingforpositivedefinitematrices-2016', 'http://ieeexplore.ieee.org/document/7565529/', event);\">\n    Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Cherian, A.;  and Sra, S.\n</span>\n\n  \n\n</span>\n\n  <i>IEEE Neural Networks and Learning Systems (TNNLS)</i>.  2016.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://ieeexplore.ieee.org/document/7565529/\"\n     onclick=\"log_download('cherian-sra-riemanniandictionarylearningandsparsecodingforpositivedefinitematrices-2016', 'http://ieeexplore.ieee.org/document/7565529/', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices [link]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/cherian-sra-riemanniandictionarylearningandsparsecodingforpositivedefinitematrices-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('cherian-sra-riemanniandictionarylearningandsparsecodingforpositivedefinitematrices-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@Article{cheSra15,\nauthor = {Anoop Cherian and Suvrit Sra},\ntitle = {Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices},\njournal = {IEEE Neural Networks and Learning Systems (TNNLS)},\nyear = {2016},\nurl_pdf = {http://ieeexplore.ieee.org/document/7565529/}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"li-jegelka-sra-fastdppsamplingfornystrmwithapplicationtokernelmethods-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://proceedings.mlr.press/v48/lih16.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'li-jegelka-sra-fastdppsamplingfornystrmwithapplicationtokernelmethods-2016', 'http://proceedings.mlr.press/v48/lih16.pdf', event);\">\n    Fast DPP Sampling for Nyström with Application to Kernel Methods.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Li, C.; Jegelka, S.;  and Sra, S.\n</span>\n\n  \n\n</span>\n\n  In <i>International Conference on Machine Learning (ICML)</i>, Jun. 2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://proceedings.mlr.press/v48/lih16.pdf\"\n     onclick=\"log_download('li-jegelka-sra-fastdppsamplingfornystrmwithapplicationtokernelmethods-2016', 'http://proceedings.mlr.press/v48/lih16.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Fast DPP Sampling for Nyström with Application to Kernel Methods [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/li-jegelka-sra-fastdppsamplingfornystrmwithapplicationtokernelmethods-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('li-jegelka-sra-fastdppsamplingfornystrmwithapplicationtokernelmethods-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{liSra16a,\n  author =       {Chengtao Li and Stefanie Jegelka and  Suvrit Sra},\n  title =        {Fast {DPP} Sampling for {N}yström with Application to Kernel Methods},\n  booktitle =    icml,\n  month     =    {Jun.},\n  year =         2016,\n  url_pdf =      {http://proceedings.mlr.press/v48/lih16.pdf}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"hosseini-sra-theis-bethge-inferenceandmixturemodelingwiththeellipticalgammadistribution-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0167947316300251\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'hosseini-sra-theis-bethge-inferenceandmixturemodelingwiththeellipticalgammadistribution-2016', 'http://www.sciencedirect.com/science/article/pii/S0167947316300251', event);\">\n    Inference and mixture modeling with the Elliptical Gamma Distribution.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Hosseini, R.; Sra, S.; Theis, L.;  and Bethge, M.\n</span>\n\n  \n\n</span>\n\n  <i>Computational Statistics & Data Analysis</i>, 101(Supplement C): 29–43.  2016.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0167947316300251\"\n     onclick=\"log_download('hosseini-sra-theis-bethge-inferenceandmixturemodelingwiththeellipticalgammadistribution-2016', 'http://www.sciencedirect.com/science/article/pii/S0167947316300251', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Inference and mixture modeling with the Elliptical Gamma Distribution [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/hosseini-sra-theis-bethge-inferenceandmixturemodelingwiththeellipticalgammadistribution-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('hosseini-sra-theis-bethge-inferenceandmixturemodelingwiththeellipticalgammadistribution-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@Article{hoSra16,\ntitle = &quot;Inference and mixture modeling with the Elliptical Gamma Distribution&quot;,\njournal = &quot;Computational Statistics &amp; Data Analysis&quot;,\nvolume = &quot;101&quot;,\nnumber = &quot;Supplement C&quot;,\npages = &quot;29--43&quot;,\nyear = &quot;2016&quot;,\nurl = &quot;http://www.sciencedirect.com/science/article/pii/S0167947316300251&quot;,\nauthor = &quot;Reshad Hosseini and Suvrit Sra and Lucas Theis and Matthias Bethge&quot;,\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"wang-sadhanala-dai-neiswanger-sra-xing-parallelanddistributedblockcoordinatefrankwolfealgorithms-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://proceedings.mlr.press/v48/wangd16.html\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'wang-sadhanala-dai-neiswanger-sra-xing-parallelanddistributedblockcoordinatefrankwolfealgorithms-2016', 'http://proceedings.mlr.press/v48/wangd16.html', event);\">\n    Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Wang, Y.; Sadhanala, V.; Dai, W.; Neiswanger, W.; Sra, S.;  and Xing, E.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of The 33rd International Conference on Machine Learning</i>, volume 48, pages 1548–1557,  2016. PMLR\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://proceedings.mlr.press/v48/wangd16.html\"\n     onclick=\"log_download('wang-sadhanala-dai-neiswanger-sra-xing-parallelanddistributedblockcoordinatefrankwolfealgorithms-2016', 'http://proceedings.mlr.press/v48/wangd16.html', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/wang-sadhanala-dai-neiswanger-sra-xing-parallelanddistributedblockcoordinatefrankwolfealgorithms-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('wang-sadhanala-dai-neiswanger-sra-xing-parallelanddistributedblockcoordinatefrankwolfealgorithms-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{xiangSra16,\n  title = \t {Parallel and Distributed Block-Coordinate {F}rank-{W}olfe Algorithms},\n  author = \t {Yu-Xiang Wang and Veeranjaneyulu Sadhanala and Wei Dai and Willie Neiswanger and Suvrit Sra and Eric Xing},\n  booktitle = \t {Proceedings of The 33rd International Conference on Machine Learning},\n  pages = \t {1548--1557},\n  year = \t {2016},\n  volume = \t {48},\n  publisher = \t {PMLR},\n  url = \t {http://proceedings.mlr.press/v48/wangd16.html},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"li-sra-jegelka-gaussianquadratureformatrixinverseformswithapplications-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://proceedings.mlr.press/v48/lig16.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'li-sra-jegelka-gaussianquadratureformatrixinverseformswithapplications-2016', 'http://proceedings.mlr.press/v48/lig16.pdf', event);\">\n    Gaussian quadrature for matrix inverse forms with applications.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Li, C.; Sra, S.;  and Jegelka, S.\n</span>\n\n  \n\n</span>\n\n  In <i>International Conference on Machine Learning (ICML)</i>, Jun. 2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://proceedings.mlr.press/v48/lig16.pdf\"\n     onclick=\"log_download('li-sra-jegelka-gaussianquadratureformatrixinverseformswithapplications-2016', 'http://proceedings.mlr.press/v48/lig16.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Gaussian quadrature for matrix inverse forms with applications [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/li-sra-jegelka-gaussianquadratureformatrixinverseformswithapplications-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('li-sra-jegelka-gaussianquadratureformatrixinverseformswithapplications-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{liSra16b,\n  author =       {Chengtao Li and  Suvrit Sra and Stefanie Jegelka},\n  title =        {Gaussian quadrature for matrix inverse forms with applications},\n  booktitle =    icml,\n  month     =    {Jun.},\n  year =         2016,\n  url_pdf =      {http://proceedings.mlr.press/v48/lig16.pdf}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mariet-sra-diversitynetworksneuralnetworkcompressionusingdeterminantalpointprocesses-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/abs/1511.05077\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mariet-sra-diversitynetworksneuralnetworkcompressionusingdeterminantalpointprocesses-2016', 'https://arxiv.org/abs/1511.05077', event);\">\n    Diversity Networks: Neural Network Compression Using Determinantal Point Processes.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Mariet, Z.;  and Sra, S.\n</span>\n\n  \n\n</span>\n\n  In <i>International Conference on Learning Representations (ICLR)</i>, May 2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/abs/1511.05077\"\n     onclick=\"log_download('mariet-sra-diversitynetworksneuralnetworkcompressionusingdeterminantalpointprocesses-2016', 'https://arxiv.org/abs/1511.05077', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Diversity Networks: Neural Network Compression Using Determinantal Point Processes [link]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mariet-sra-diversitynetworksneuralnetworkcompressionusingdeterminantalpointprocesses-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mariet-sra-diversitynetworksneuralnetworkcompressionusingdeterminantalpointprocesses-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{marSra16,\n  author =       {Zelda Mariet and  Suvrit Sra},\n  title =        {{Diversity Networks: Neural Network Compression Using Determinantal Point Processes}},\n  booktitle=     {International Conference on Learning Representations (ICLR)},\n  OPTnote =      {arXiv:1511.0577},\n  year =         2016,\n  month =        {May},\n  url_pdf =      {https://arxiv.org/abs/1511.05077}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"sra-onthematrixsquarerootandgeometricoptimization-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://repository.uwyo.edu/ela/vol31/iss1/30/\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'sra-onthematrixsquarerootandgeometricoptimization-2016', 'http://repository.uwyo.edu/ela/vol31/iss1/30/', event);\">\n    On the matrix square root and geometric optimization.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Sra, S.\n</span>\n\n  \n\n</span>\n\n  <i>Electronic Journal on Linear Algebra (ELA)</i>.  2016.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://repository.uwyo.edu/ela/vol31/iss1/30/\"\n     onclick=\"log_download('sra-onthematrixsquarerootandgeometricoptimization-2016', 'http://repository.uwyo.edu/ela/vol31/iss1/30/', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"On the matrix square root and geometric optimization [link]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/sra-onthematrixsquarerootandgeometricoptimization-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('sra-onthematrixsquarerootandgeometricoptimization-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@Article{sraRoot,\n author = {Suvrit Sra},\n title = {On the matrix square root and geometric optimization},\n journal = {Electronic Journal on Linear Algebra (ELA)},\n year = {2016},\n url_pdf = {http://repository.uwyo.edu/ela/vol31/iss1/30/}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"reddi-hefny-sra-poczos-smola-stochasticvariancereductionfornonconvexoptimization-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://proceedings.mlr.press/v48/reddi16.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'reddi-hefny-sra-poczos-smola-stochasticvariancereductionfornonconvexoptimization-2016', 'http://proceedings.mlr.press/v48/reddi16.pdf', event);\">\n    Stochastic variance reduction for nonconvex optimization.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Reddi, S.; Hefny, A.; Sra, S.; Poczos, B.;  and Smola, A. J.\n</span>\n\n  \n\n</span>\n\n  In <i>International Conference on Machine Learning (ICML)</i>, Jun. 2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://proceedings.mlr.press/v48/reddi16.pdf\"\n     onclick=\"log_download('reddi-hefny-sra-poczos-smola-stochasticvariancereductionfornonconvexoptimization-2016', 'http://proceedings.mlr.press/v48/reddi16.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Stochastic variance reduction for nonconvex optimization [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/reddi-hefny-sra-poczos-smola-stochasticvariancereductionfornonconvexoptimization-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('reddi-hefny-sra-poczos-smola-stochasticvariancereductionfornonconvexoptimization-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{reddiSra,\n author = {Sashank Reddi and Ahmed Hefny and  Suvrit Sra and Barnabas Poczos and Alexander J. Smola},\n title = {Stochastic variance reduction for nonconvex optimization},\n booktitle = icml,\n month     =    {Jun.},\n year = {2016},\n url_pdf = {http://proceedings.mlr.press/v48/reddi16.pdf}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"solomon-peyr-kim-sra-entropicmetricalignmentforcorrespondenceproblems-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://dl.acm.org/citation.cfm?id=2925903\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'solomon-peyr-kim-sra-entropicmetricalignmentforcorrespondenceproblems-2016', 'http://dl.acm.org/citation.cfm?id=2925903', event);\">\n    Entropic Metric Alignment for Correspondence Problems.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Solomon, J.; Peyré, G.; Kim, V.;  and Sra, S.\n</span>\n\n  \n\n</span>\n\n  In <i>ACM SIGGRAPH</i>, Jul. 2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://dl.acm.org/citation.cfm?id=2925903\"\n     onclick=\"log_download('solomon-peyr-kim-sra-entropicmetricalignmentforcorrespondenceproblems-2016', 'http://dl.acm.org/citation.cfm?id=2925903', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Entropic Metric Alignment for Correspondence Problems [link]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/solomon-peyr-kim-sra-entropicmetricalignmentforcorrespondenceproblems-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('solomon-peyr-kim-sra-entropicmetricalignmentforcorrespondenceproblems-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{solomon,\n  author =       {Justin Solomon and Gabriel Peyré and Vladimir Kim and  Suvrit Sra},\n  title =        {{Entropic Metric Alignment for Correspondence Problems}},\n  booktitle =    {ACM SIGGRAPH},\n  month = {Jul.},\n  year =         {2016},\n  url_pdf = {http://dl.acm.org/citation.cfm?id=2925903}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"sra-hosseini-geometricoptimizationinmachinelearning-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://link.springer.com/chapter/10.1007%2F978-3-319-45026-1_3\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'sra-hosseini-geometricoptimizationinmachinelearning-2016', 'https://link.springer.com/chapter/10.1007%2F978-3-319-45026-1_3', event);\">\n    Geometric Optimization in Machine Learning.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Sra, S.;  and Hosseini, R.\n</span>\n\n  \n\n</span>\n\n  In <i>Algorithmic Advances in Riemannian Geometry and Applications</i>. Springer,  2016.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://link.springer.com/chapter/10.1007%2F978-3-319-45026-1_3\"\n     onclick=\"log_download('sra-hosseini-geometricoptimizationinmachinelearning-2016', 'https://link.springer.com/chapter/10.1007%2F978-3-319-45026-1_3', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Geometric Optimization in Machine Learning [link]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/sra-hosseini-geometricoptimizationinmachinelearning-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('sra-hosseini-geometricoptimizationinmachinelearning-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InCollection{sraHos16,\n  author =       {Suvrit Sra and Reshad Hosseini},\n  title =        {Geometric Optimization in Machine Learning},\n  booktitle =    {Algorithmic Advances in Riemannian Geometry and Applications},\n  publisher =    {Springer},\n  year =         2016,\n  url_pdf =      {https://link.springer.com/chapter/10.1007%2F978-3-319-45026-1_3}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"sra-positivedefinitematricesandthesdivergence-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.ams.org/proc/2016-144-07/S0002-9939-2015-12953-X/S0002-9939-2015-12953-X.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'sra-positivedefinitematricesandthesdivergence-2016', 'http://www.ams.org/proc/2016-144-07/S0002-9939-2015-12953-X/S0002-9939-2015-12953-X.pdf', event);\">\n    Positive definite matrices and the S-divergence.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Sra, S.\n</span>\n\n  \n\n</span>\n\n  <i>Proceedings American Mathematical Society (PAMS)</i>.  2016.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.ams.org/proc/2016-144-07/S0002-9939-2015-12953-X/S0002-9939-2015-12953-X.pdf\"\n     onclick=\"log_download('sra-positivedefinitematricesandthesdivergence-2016', 'http://www.ams.org/proc/2016-144-07/S0002-9939-2015-12953-X/S0002-9939-2015-12953-X.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Positive definite matrices and the S-divergence [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/sra-positivedefinitematricesandthesdivergence-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('sra-positivedefinitematricesandthesdivergence-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@Article{srapd,\n  author =       {Suvrit Sra},\n  title =        {Positive definite matrices and the {S}-divergence},\n  journal =      {Proceedings American Mathematical Society (PAMS)},\n  year =         2016,\n  url_pdf =      {http://www.ams.org/proc/2016-144-07/S0002-9939-2015-12953-X/S0002-9939-2015-12953-X.pdf}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"wang-sadhanala-dai-neiswanger-sra-xing-parallelanddistributedblockcoordinatefrankwolfealgorithms-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://proceedings.mlr.press/v48/wangd16.html\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'wang-sadhanala-dai-neiswanger-sra-xing-parallelanddistributedblockcoordinatefrankwolfealgorithms-2016', 'http://proceedings.mlr.press/v48/wangd16.html', event);\">\n    Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Wang, Y.; Sadhanala, V.; Dai, W.; Neiswanger, W.; Sra, S.;  and Xing, E. P.\n</span>\n\n  \n\n</span>\n\n  In <i>International Conference on Machine Learning (ICML)</i>, Jun. 2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://proceedings.mlr.press/v48/wangd16.html\"\n     onclick=\"log_download('wang-sadhanala-dai-neiswanger-sra-xing-parallelanddistributedblockcoordinatefrankwolfealgorithms-2016', 'http://proceedings.mlr.press/v48/wangd16.html', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms [link]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/wang-sadhanala-dai-neiswanger-sra-xing-parallelanddistributedblockcoordinatefrankwolfealgorithms-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('wang-sadhanala-dai-neiswanger-sra-xing-parallelanddistributedblockcoordinatefrankwolfealgorithms-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{wangSaSra14,\n author = {Yu-Xiang Wang and Veeranjaneyulu Sadhanala and Wei Dai and Willie Neiswanger and  Suvrit Sra and Eric P. Xing},\n title = {{Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms}},\n booktitle=icml,\n month     =    {Jun.},\n year = {2016},\n url_pdf = {http://proceedings.mlr.press/v48/wangd16.html}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"zadeh-hosseini-sra-geometricmeanmetriclearning-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://proceedings.mlr.press/v48/zadeh16.html\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'zadeh-hosseini-sra-geometricmeanmetriclearning-2016', 'http://proceedings.mlr.press/v48/zadeh16.html', event);\">\n    Geometric Mean Metric Learning.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Zadeh, P. H.; Hosseini, R.;  and Sra, S.\n</span>\n\n  \n\n</span>\n\n  In <i>International Conference on Machine Learning (ICML)</i>, Jun. 2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://proceedings.mlr.press/v48/zadeh16.html\"\n     onclick=\"log_download('zadeh-hosseini-sra-geometricmeanmetriclearning-2016', 'http://proceedings.mlr.press/v48/zadeh16.html', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Geometric Mean Metric Learning [link]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/zadeh-hosseini-sra-geometricmeanmetriclearning-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('zadeh-hosseini-sra-geometricmeanmetriclearning-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{zadeh,\n  author =       {Pourya H. Zadeh and Reshad Hosseini and  Suvrit Sra},\n  title =        {Geometric Mean Metric Learning},\n  booktitle =    icml,\n  month     =    {Jun.},\n  year =         {2016},\n  url_pdf =      {http://proceedings.mlr.press/v48/zadeh16.html}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"borisov-neff-sra-thiel-thesumofsquaredlogarithmsinequalityinarbitrarydimensions-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0024379516302439\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'borisov-neff-sra-thiel-thesumofsquaredlogarithmsinequalityinarbitrarydimensions-2016', 'http://www.sciencedirect.com/science/article/pii/S0024379516302439', event);\">\n    The sum of squared logarithms inequality in arbitrary dimensions.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Borisov, L.; Neff, P.; Sra, S.;  and Thiel, C.\n</span>\n\n  \n\n</span>\n\n  <i>Linear Algebra and its Applications (LAA)</i>.  2016.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0024379516302439\"\n     onclick=\"log_download('borisov-neff-sra-thiel-thesumofsquaredlogarithmsinequalityinarbitrarydimensions-2016', 'http://www.sciencedirect.com/science/article/pii/S0024379516302439', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"The sum of squared logarithms inequality in arbitrary dimensions [link]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/borisov-neff-sra-thiel-thesumofsquaredlogarithmsinequalityinarbitrarydimensions-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('borisov-neff-sra-thiel-thesumofsquaredlogarithmsinequalityinarbitrarydimensions-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@Article{boNes15,\nauthor = {Lev Borisov and Patrizio Neff and Suvrit Sra and Christian Thiel},\ntitle = {The sum of squared logarithms inequality in arbitrary dimensions},\njournal = {Linear Algebra and its Applications (LAA)},\nyear = {2016},\nurl_pdf = {http://www.sciencedirect.com/science/article/pii/S0024379516302439}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"zhang-sra-firstordermethodsforgeodesicallyconvexoptimization-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://proceedings.mlr.press/v49/zhang16b.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'zhang-sra-firstordermethodsforgeodesicallyconvexoptimization-2016', 'http://proceedings.mlr.press/v49/zhang16b.pdf', event);\">\n    First-order methods for geodesically convex optimization.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Zhang, H.;  and Sra, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Conference on Learning Theory (COLT)</i>, Jun. 2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://proceedings.mlr.press/v49/zhang16b.pdf\"\n     onclick=\"log_download('zhang-sra-firstordermethodsforgeodesicallyconvexoptimization-2016', 'http://proceedings.mlr.press/v49/zhang16b.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"First-order methods for geodesically convex optimization [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/zhang-sra-firstordermethodsforgeodesicallyconvexoptimization-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('zhang-sra-firstordermethodsforgeodesicallyconvexoptimization-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{zhangSra16a,\n author = {Hongyi Zhang and  Suvrit Sra},\n title = {First-order methods for geodesically convex optimization},\n month     =    {Jun.},\n year = {2016},\n booktitle={Conference on Learning Theory (COLT)},\n url_pdf = {http://proceedings.mlr.press/v49/zhang16b.pdf}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"li-jegelka-sra-efficientsamplingforkdeterminantalpointprocesses-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.jmlr.org/proceedings/papers/v51/li16f.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'li-jegelka-sra-efficientsamplingforkdeterminantalpointprocesses-2016', 'http://www.jmlr.org/proceedings/papers/v51/li16f.pdf', event);\">\n    Efficient sampling for k-determinantal point processes.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Li, C.; Jegelka, S.;  and Sra, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Artificial Intelligence and Statistics (AISTATS)</i>,  2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.jmlr.org/proceedings/papers/v51/li16f.pdf\"\n     onclick=\"log_download('li-jegelka-sra-efficientsamplingforkdeterminantalpointprocesses-2016', 'http://www.jmlr.org/proceedings/papers/v51/li16f.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Efficient sampling for k-determinantal point processes [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/li-jegelka-sra-efficientsamplingforkdeterminantalpointprocesses-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('li-jegelka-sra-efficientsamplingforkdeterminantalpointprocesses-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{liJeSr16a,\n  author =       {Chengtao Li and Stefanie Jegelka and Suvrit Sra},\n  title =        {Efficient sampling for k-determinantal point processes},\n  booktitle =    {Artificial Intelligence and Statistics (AISTATS)},\n  year =         {2016},\n  url_pdf =      {http://www.jmlr.org/proceedings/papers/v51/li16f.pdf}  \n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"sra-yu-li-smola-adadelaydelaysensitivedistributedstochasticconvexoptimization-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://proceedings.mlr.press/v51/sra16.html\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'sra-yu-li-smola-adadelaydelaysensitivedistributedstochasticconvexoptimization-2016', 'http://proceedings.mlr.press/v51/sra16.html', event);\">\n    AdaDelay: Delay sensitive distributed stochastic convex optimization.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Sra, S.; Yu, A. W.; Li, M.;  and Smola, A. J.\n</span>\n\n  \n\n</span>\n\n  In <i>Artificial Intelligence and Statistics (AISTATS)</i>,  2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://proceedings.mlr.press/v51/sra16.html\"\n     onclick=\"log_download('sra-yu-li-smola-adadelaydelaysensitivedistributedstochasticconvexoptimization-2016', 'http://proceedings.mlr.press/v51/sra16.html', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"AdaDelay: Delay sensitive distributed stochastic convex optimization [link]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/sra-yu-li-smola-adadelaydelaysensitivedistributedstochasticconvexoptimization-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('sra-yu-li-smola-adadelaydelaysensitivedistributedstochasticconvexoptimization-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{adams16,\n  author =       {Suvrit Sra and Adams Wei Yu and Mu Li and Alexander J. Smola},\n  title =        {{AdaDelay: Delay sensitive distributed stochastic convex optimization}},\n  booktitle =    {Artificial Intelligence and Statistics (AISTATS)},\n  year =         {2016},\n  url_pdf =      {http://proceedings.mlr.press/v51/sra16.html}\n}\n\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"sra-oninequalitiesfornormalizedschurfunctions-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0195669815001717\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'sra-oninequalitiesfornormalizedschurfunctions-2016', 'http://www.sciencedirect.com/science/article/pii/S0195669815001717', event);\">\n    On inequalities for normalized Schur functions.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Sra, S.\n</span>\n\n  \n\n</span>\n\n  <i>European J. Combinatorics</i>, Volume 51: 492-–494.  2016.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0195669815001717\"\n     onclick=\"log_download('sra-oninequalitiesfornormalizedschurfunctions-2016', 'http://www.sciencedirect.com/science/article/pii/S0195669815001717', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"On inequalities for normalized Schur functions [link]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/sra-oninequalitiesfornormalizedschurfunctions-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('sra-oninequalitiesfornormalizedschurfunctions-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@Article{sra15a,\nauthor = {Suvrit Sra},\ntitle = {{On inequalities for normalized Schur functions}},\njournal = {European J. Combinatorics},\nvolume = {Volume 51},\nyear = {2016},\npages = {492-–494},\nmon  = jan,\nurl_pdf = {http://www.sciencedirect.com/science/article/pii/S0195669815001717}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"kawaguchi-deeplearningwithoutpoorlocalminima-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Deep Learning without Poor Local Minima.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Kawaguchi, K.\n</span>\n\n  \n\n</span>\n\n  In <i>Advances in Neural Information Processing Systems (NIPS)</i>,  2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/kawaguchi-deeplearningwithoutpoorlocalminima-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('kawaguchi-deeplearningwithoutpoorlocalminima-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{kawaguchi2016deep,\ntitle={Deep Learning without Poor Local Minima},\nauthor={Kawaguchi, Kenji},\nbooktitle={Advances in Neural Information Processing Systems (NIPS)},\nyear={2016}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"kawaguchi-boundedoptimalexplorationinmdp-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Bounded Optimal Exploration in MDP.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Kawaguchi, K.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI)</i>, pages 1758–1764,  2016. AAAI Press\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/kawaguchi-boundedoptimalexplorationinmdp-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('kawaguchi-boundedoptimalexplorationinmdp-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{kawaguchiAAAI2016,\ntitle={Bounded Optimal Exploration in {MDP}},\nauthor={Kenji Kawaguchi},\nbooktitle={Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI)},\npages = {1758--1764},\nyear={2016},\norganization={AAAI Press}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"kawaguchi-maruyama-zheng-globalcontinuousoptimizationwitherrorboundandfastconvergence-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Global Continuous Optimization with Error Bound and Fast Convergence.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Kawaguchi, K.; Maruyama, Y.;  and Zheng, X.\n</span>\n\n  \n\n</span>\n\n  <i>Journal of Artificial Intelligence Research</i>, 56: 153–195.  2016.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/kawaguchi-maruyama-zheng-globalcontinuousoptimizationwitherrorboundandfastconvergence-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('kawaguchi-maruyama-zheng-globalcontinuousoptimizationwitherrorboundandfastconvergence-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{kawaguchi2016global,\ntitle={Global Continuous Optimization with Error Bound and Fast Convergence},\nauthor={Kawaguchi, Kenji and Maruyama, Yu and Zheng, Xiaoyu},\njournal={Journal of Artificial Intelligence Research},\nvolume={56},\npages={153--195},\nyear={2016}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"rakhlin-sridharan-atutorialononlinesupervisedlearningwithapplicationstonodeclassificationinsocialnetworks-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  A tutorial on online supervised learning with applications to node classification in social networks.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Rakhlin, A.;  and Sridharan, K.\n</span>\n\n  \n\n</span>\n\n  <i>arXiv preprint arXiv:1608.09014</i>.  2016.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/rakhlin-sridharan-atutorialononlinesupervisedlearningwithapplicationstonodeclassificationinsocialnetworks-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('rakhlin-sridharan-atutorialononlinesupervisedlearningwithapplicationstonodeclassificationinsocialnetworks-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{rakhlin2016tutorial,\n  title={A tutorial on online supervised learning with applications to node classification in social networks},\n  author={Rakhlin, Alexander and Sridharan, Karthik},\n  journal={arXiv preprint arXiv:1608.09014},\n  year={2016}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"raginsky-rakhlin-tsao-wu-xu-informationtheoreticanalysisofstabilityandbiasoflearningalgorithms-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Information-theoretic analysis of stability and bias of learning algorithms.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Raginsky, M.; Rakhlin, A.; Tsao, M.; Wu, Y.;  and Xu, A.\n</span>\n\n  \n\n</span>\n\n  In <i>Information Theory Workshop (ITW), 2016 IEEE</i>,  2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/raginsky-rakhlin-tsao-wu-xu-informationtheoreticanalysisofstabilityandbiasoflearningalgorithms-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('raginsky-rakhlin-tsao-wu-xu-informationtheoreticanalysisofstabilityandbiasoflearningalgorithms-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{raginsky2016information,\n  title={Information-theoretic analysis of stability and bias of learning algorithms},\n  author={Raginsky, Maxim and Rakhlin, Alexander and Tsao, Matthew and Wu, Yihong and Xu, Aolin},\n  booktitle={Information Theory Workshop (ITW), 2016 IEEE},\n  year={2016},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"rakhlin-sridharan-bistroanefficientrelaxationbasedmethodforcontextualbandits-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  BISTRO: An Efficient Relaxation-Based Method for Contextual Bandits.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Rakhlin, A.;  and Sridharan, K.\n</span>\n\n  \n\n</span>\n\n  In <i>ICML</i>, pages 1977–1985,  2016. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/rakhlin-sridharan-bistroanefficientrelaxationbasedmethodforcontextualbandits-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('rakhlin-sridharan-bistroanefficientrelaxationbasedmethodforcontextualbandits-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{rakhlin2016bistro,\n  title={BISTRO: An Efficient Relaxation-Based Method for Contextual Bandits},\n  author={Rakhlin, Alexander and Sridharan, Karthik},\n  booktitle={ICML},\n  pages={1977--1985},\n  year={2016}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"cai-liang-rakhlin-others-geometricinferenceforgeneralhighdimensionallinearinverseproblems-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Geometric inference for general high-dimensional linear inverse problems.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Cai, T T.; Liang, T.; Rakhlin, A.;  and others\n</span>\n\n  \n\n</span>\n\n  <i>The Annals of Statistics</i>, 44(4): 1536–1563.  2016.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/cai-liang-rakhlin-others-geometricinferenceforgeneralhighdimensionallinearinverseproblems-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('cai-liang-rakhlin-others-geometricinferenceforgeneralhighdimensionallinearinverseproblems-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{cai2016geometric,\n  title={Geometric inference for general high-dimensional linear inverse problems},\n  author={Cai, T Tony and Liang, Tengyuan and Rakhlin, Alexander and others},\n  journal={The Annals of Statistics},\n  volume={44},\n  number={4},\n  pages={1536--1563},\n  year={2016},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"cai-liang-rakhlin-inferenceviamessagepassingonpartiallylabeledstochasticblockmodels-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Inference via message passing on partially labeled stochastic block models.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Cai, T T.; Liang, T.;  and Rakhlin, A.\n</span>\n\n  \n\n</span>\n\n  <i>arXiv preprint arXiv:1603.06923</i>.  2016.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/cai-liang-rakhlin-inferenceviamessagepassingonpartiallylabeledstochasticblockmodels-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('cai-liang-rakhlin-inferenceviamessagepassingonpartiallylabeledstochasticblockmodels-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{cai2016inference,\n  title={Inference via message passing on partially labeled stochastic block models},\n  author={Cai, T Tony and Liang, Tengyuan and Rakhlin, Alexander},\n  journal={arXiv preprint arXiv:1603.06923},\n  year={2016}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2015\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2015')\"\n      onkeypress=\"toggleGroup('group_2015')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2015</span>\n      <span class=\"bibbase_group_count\">\n        \n        (14)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"hashimoto-sun-jaakkola-fromrandomwalkstodistancesonunweightedgraphs-2015\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Hashimoto_etal_nips2015.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'hashimoto-sun-jaakkola-fromrandomwalkstodistancesonunweightedgraphs-2015', 'https://people.csail.mit.edu/tommi/papers/Hashimoto_etal_nips2015.pdf', event);\">\n    From random walks to distances on unweighted graphs.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Hashimoto, T.; Sun, Y.;  and Jaakkola, T.\n</span>\n\n  \n\n</span>\n\n  In <i>Advances in Neural Information Processing Systems (NIPS)</i>,  2015. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Hashimoto_etal_nips2015.pdf\"\n     onclick=\"log_download('hashimoto-sun-jaakkola-fromrandomwalkstodistancesonunweightedgraphs-2015', 'https://people.csail.mit.edu/tommi/papers/Hashimoto_etal_nips2015.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"From random walks to distances on unweighted graphs [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/hashimoto-sun-jaakkola-fromrandomwalkstodistancesonunweightedgraphs-2015\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('hashimoto-sun-jaakkola-fromrandomwalkstodistancesonunweightedgraphs-2015')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Hasetal-nips2015,\nauthor = {T. Hashimoto and Y. Sun and T. Jaakkola},\ntitle = {From random walks to distances on unweighted graphs},\nbooktitle = {Advances in Neural Information Processing Systems (NIPS)},\nyear = {2015},\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/Hashimoto_etal_nips2015.pdf},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mueller-jaakkola-principaldifferencesanalysisinterpretablecharacterizationofdifferencesbetweendistributions-2015\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Mueller_etal_nips2015.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mueller-jaakkola-principaldifferencesanalysisinterpretablecharacterizationofdifferencesbetweendistributions-2015', 'https://people.csail.mit.edu/tommi/papers/Mueller_etal_nips2015.pdf', event);\">\n    Principal Differences Analysis: Interpretable Characterization of Differences between Distributions.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Mueller, J.;  and Jaakkola, T.\n</span>\n\n  \n\n</span>\n\n  In <i>Advances in Neural Information Processing Systems (NIPS)</i>,  2015. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Mueller_etal_nips2015.pdf\"\n     onclick=\"log_download('mueller-jaakkola-principaldifferencesanalysisinterpretablecharacterizationofdifferencesbetweendistributions-2015', 'https://people.csail.mit.edu/tommi/papers/Mueller_etal_nips2015.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Principal Differences Analysis: Interpretable Characterization of Differences between Distributions [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mueller-jaakkola-principaldifferencesanalysisinterpretablecharacterizationofdifferencesbetweendistributions-2015\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mueller-jaakkola-principaldifferencesanalysisinterpretablecharacterizationofdifferencesbetweendistributions-2015')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Mueetal-nips2015,\nauthor = {J. Mueller and T. Jaakkola},\ntitle = {Principal Differences Analysis: Interpretable Characterization of Differences between Distributions},\nbooktitle = {Advances in Neural Information Processing Systems (NIPS)},\nyear = {2015},\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/Mueller_etal_nips2015.pdf},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lei-barzilay-jaakkola-moldingcnnsfortextnonlinearnonconsecutiveconvolutions-2015\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Leietal_EMNLP15.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'lei-barzilay-jaakkola-moldingcnnsfortextnonlinearnonconsecutiveconvolutions-2015', 'https://people.csail.mit.edu/tommi/papers/Leietal_EMNLP15.pdf', event);\">\n    Molding CNNs for Text: Non-linear, Non-consecutive Convolutions.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Lei, T.; Barzilay, R.;  and Jaakkola, T.\n</span>\n\n  \n\n</span>\n\n  In <i>Empirical Methods in Natural Language Processing</i>,  2015. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Leietal_EMNLP15.pdf\"\n     onclick=\"log_download('lei-barzilay-jaakkola-moldingcnnsfortextnonlinearnonconsecutiveconvolutions-2015', 'https://people.csail.mit.edu/tommi/papers/Leietal_EMNLP15.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Molding CNNs for Text: Non-linear, Non-consecutive Convolutions [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lei-barzilay-jaakkola-moldingcnnsfortextnonlinearnonconsecutiveconvolutions-2015\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lei-barzilay-jaakkola-moldingcnnsfortextnonlinearnonconsecutiveconvolutions-2015')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{Leietal-EMNLP2015,\nauthor = {T. Lei and R. Barzilay and T. Jaakkola},\ntitle = {Molding {CNN}s for Text: Non-linear, Non-consecutive Convolutions},\nbooktitle = {Empirical Methods in Natural Language Processing},\nyear = {2015},\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/Leietal_EMNLP15.pdf},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"narasimhan-barzilay-jaakkola-anunsupervisedmethodforuncoveringmorphologicalchains-2015\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Karthik-TACL-458-1565-1-PB.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'narasimhan-barzilay-jaakkola-anunsupervisedmethodforuncoveringmorphologicalchains-2015', 'https://people.csail.mit.edu/tommi/papers/Karthik-TACL-458-1565-1-PB.pdf', event);\">\n    An Unsupervised Method for Uncovering Morphological Chains.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Narasimhan, K.; Barzilay, R.;  and Jaakkola, T.\n</span>\n\n  \n\n</span>\n\n  <i>Transactions of the Association for Computational Linguistics</i>, 3: 157–167.  2015.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Karthik-TACL-458-1565-1-PB.pdf\"\n     onclick=\"log_download('narasimhan-barzilay-jaakkola-anunsupervisedmethodforuncoveringmorphologicalchains-2015', 'https://people.csail.mit.edu/tommi/papers/Karthik-TACL-458-1565-1-PB.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"An Unsupervised Method for Uncovering Morphological Chains [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/narasimhan-barzilay-jaakkola-anunsupervisedmethodforuncoveringmorphologicalchains-2015\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('narasimhan-barzilay-jaakkola-anunsupervisedmethodforuncoveringmorphologicalchains-2015')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{TACL458,\nauthor = {K. Narasimhan and R. Barzilay and T. Jaakkola},\ntitle = {An Unsupervised Method for Uncovering Morphological Chains},\njournal = {Transactions of the Association for Computational Linguistics},\nvolume = {3},\nyear = {2015},\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/Karthik-TACL-458-1565-1-PB.pdf},\npages = {157--167}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"hashimoto-sun-jaakkola-metricrecoveryfromdirectedunweightedgraphs-2015\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Tatsu_aistats15.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'hashimoto-sun-jaakkola-metricrecoveryfromdirectedunweightedgraphs-2015', 'https://people.csail.mit.edu/tommi/papers/Tatsu_aistats15.pdf', event);\">\n    Metric recovery from directed unweighted graphs.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Hashimoto, T.; Sun, Y.;  and Jaakkola, T.\n</span>\n\n  \n\n</span>\n\n  In <i>Artificial Intelligence and Statistics</i>,  2015. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://people.csail.mit.edu/tommi/papers/Tatsu_aistats15.pdf\"\n     onclick=\"log_download('hashimoto-sun-jaakkola-metricrecoveryfromdirectedunweightedgraphs-2015', 'https://people.csail.mit.edu/tommi/papers/Tatsu_aistats15.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Metric recovery from directed unweighted graphs [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/hashimoto-sun-jaakkola-metricrecoveryfromdirectedunweightedgraphs-2015\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('hashimoto-sun-jaakkola-metricrecoveryfromdirectedunweightedgraphs-2015')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{tatsu_aistats15,\nauthor = {T. Hashimoto and Y. Sun and T. Jaakkola},\ntitle = {Metric recovery from directed unweighted graphs},\nyear = {2015},\nbooktitle = {Artificial Intelligence and Statistics},\nurl_pdf = {https://people.csail.mit.edu/tommi/papers/Tatsu_aistats15.pdf},\n}\n\n\n% STEFANIE -- last updated: 8th Oct 2017\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"hosseini-sra-matrixmanifoldoptimizationforgaussianmixtures-2015\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://papers.nips.cc/paper/5812-matrix-manifold-optimization-for-gaussian-mixtures.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'hosseini-sra-matrixmanifoldoptimizationforgaussianmixtures-2015', 'https://papers.nips.cc/paper/5812-matrix-manifold-optimization-for-gaussian-mixtures.pdf', event);\">\n    Matrix Manifold Optimization for Gaussian Mixtures.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Hosseini, R.;  and Sra, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Advances in Neural Information Processing Systems (NIPS)</i>, December 2015. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://papers.nips.cc/paper/5812-matrix-manifold-optimization-for-gaussian-mixtures.pdf\"\n     onclick=\"log_download('hosseini-sra-matrixmanifoldoptimizationforgaussianmixtures-2015', 'https://papers.nips.cc/paper/5812-matrix-manifold-optimization-for-gaussian-mixtures.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Matrix Manifold Optimization for Gaussian Mixtures [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/hosseini-sra-matrixmanifoldoptimizationforgaussianmixtures-2015\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('hosseini-sra-matrixmanifoldoptimizationforgaussianmixtures-2015')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{hoSra.nips,\n  author =       {Reshad Hosseini and Suvrit Sra},\n  title =        {{Matrix Manifold Optimization for Gaussian Mixtures}},\n  booktitle =    nips,\n  year =         2015,\n  month =        dec,\n  url_pdf =      {https://papers.nips.cc/paper/5812-matrix-manifold-optimization-for-gaussian-mixtures.pdf}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"reddi-hefny-sra-poczos-smola-onvariancereductioninstochasticgradientdescentanditsasynchronousvariants-2015\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://papers.nips.cc/paper/5821-on-variance-reduction-in-stochastic-gradient-descent-and-its-asynchronous-variants.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'reddi-hefny-sra-poczos-smola-onvariancereductioninstochasticgradientdescentanditsasynchronousvariants-2015', 'https://papers.nips.cc/paper/5821-on-variance-reduction-in-stochastic-gradient-descent-and-its-asynchronous-variants.pdf', event);\">\n    On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Reddi, S.; Hefny, A.; Sra, S.; Poczos, B.;  and Smola, A.\n</span>\n\n  \n\n</span>\n\n  In <i>Advances in Neural Information Processing Systems (NIPS)</i>, December 2015. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://papers.nips.cc/paper/5821-on-variance-reduction-in-stochastic-gradient-descent-and-its-asynchronous-variants.pdf\"\n     onclick=\"log_download('reddi-hefny-sra-poczos-smola-onvariancereductioninstochasticgradientdescentanditsasynchronousvariants-2015', 'https://papers.nips.cc/paper/5821-on-variance-reduction-in-stochastic-gradient-descent-and-its-asynchronous-variants.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/reddi-hefny-sra-poczos-smola-onvariancereductioninstochasticgradientdescentanditsasynchronousvariants-2015\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('reddi-hefny-sra-poczos-smola-onvariancereductioninstochasticgradientdescentanditsasynchronousvariants-2015')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{reddy,\n  author =       {Sashank Reddi and Ahmed Hefny and Suvrit Sra and Barnabas Poczos and Alexander Smola},\n  title =        {{On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants}},\n  booktitle =    nips,\n  year =         2015,\n  month =        dec,\n  url_pdf =      {https://papers.nips.cc/paper/5821-on-variance-reduction-in-stochastic-gradient-descent-and-its-asynchronous-variants.pdf}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lin-sra-completestrongsuperadditivityofgeneralizedmatrixfunctions-2015\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arxiv.org/abs/1410.1958\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'lin-sra-completestrongsuperadditivityofgeneralizedmatrixfunctions-2015', 'https://arxiv.org/abs/1410.1958', event);\">\n    Complete strong superadditivity of generalized matrix functions.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Lin, M.;  and Sra, S.\n</span>\n\n  \n\n</span>\n\n  <i>Mathematical Notes</i>.  2015.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arxiv.org/abs/1410.1958\"\n     onclick=\"log_download('lin-sra-completestrongsuperadditivityofgeneralizedmatrixfunctions-2015', 'https://arxiv.org/abs/1410.1958', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Complete strong superadditivity of generalized matrix functions [link]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lin-sra-completestrongsuperadditivityofgeneralizedmatrixfunctions-2015\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lin-sra-completestrongsuperadditivityofgeneralizedmatrixfunctions-2015')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@Article{linSra14,\nauthor = {Minghua Lin and Suvrit Sra},\ntitle = {{Complete strong superadditivity of generalized matrix functions}},\njournal = {Mathematical Notes},\nyear = {2015},\nurl_pdf = {https://arxiv.org/abs/1410.1958}\n}\n\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"berndt-sra-hlawkapopoviciuinequalitiesonpositivedefinitetensors-2015\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0024379515004966\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'berndt-sra-hlawkapopoviciuinequalitiesonpositivedefinitetensors-2015', 'http://www.sciencedirect.com/science/article/pii/S0024379515004966', event);\">\n    Hlawka-Popoviciu inequalities on positive definite tensors.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Berndt, W.;  and Sra, S.\n</span>\n\n  \n\n</span>\n\n  <i>Linear Algebra and its Applications</i>, 486(1): 317–327.  2015.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0024379515004966\"\n     onclick=\"log_download('berndt-sra-hlawkapopoviciuinequalitiesonpositivedefinitetensors-2015', 'http://www.sciencedirect.com/science/article/pii/S0024379515004966', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Hlawka-Popoviciu inequalities on positive definite tensors [link]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/berndt-sra-hlawkapopoviciuinequalitiesonpositivedefinitetensors-2015\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('berndt-sra-hlawkapopoviciuinequalitiesonpositivedefinitetensors-2015')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@Article{berSra15,\nauthor = {Wolfgang Berndt and Suvrit Sra},\ntitle = {{Hlawka-Popoviciu inequalities on positive definite tensors}},\njournal = {Linear Algebra and its Applications},\nvolume = {486},\nnumber = {1},\npages = {317--327},\nyear = {2015},\nurl_pdf = {http://www.sciencedirect.com/science/article/pii/S0024379515004966}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"reddi-hefny-downey-dubey-sra-largescalerandomizedcoordinatedescentmethodswithnonseparablelinearconstraints-2015\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://auai.org/uai2015/proceedings/papers/191.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'reddi-hefny-downey-dubey-sra-largescalerandomizedcoordinatedescentmethodswithnonseparablelinearconstraints-2015', 'http://auai.org/uai2015/proceedings/papers/191.pdf', event);\">\n    Large-scale randomized-coordinate descent methods with non-separable linear constraints.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Reddi, S.; Hefny, A.; Downey, C.; Dubey, A.;  and Sra, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Uncertainty in Artificial Intelligence (UAI)</i>,  2015. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://auai.org/uai2015/proceedings/papers/191.pdf\"\n     onclick=\"log_download('reddi-hefny-downey-dubey-sra-largescalerandomizedcoordinatedescentmethodswithnonseparablelinearconstraints-2015', 'http://auai.org/uai2015/proceedings/papers/191.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Large-scale randomized-coordinate descent methods with non-separable linear constraints [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/reddi-hefny-downey-dubey-sra-largescalerandomizedcoordinatedescentmethodswithnonseparablelinearconstraints-2015\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('reddi-hefny-downey-dubey-sra-largescalerandomizedcoordinatedescentmethodswithnonseparablelinearconstraints-2015')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{reHeSra14,\nauthor = {Sashank Reddi and Ahmed Hefny and Carlton Downey and Avinava Dubey and Suvrit Sra},\ntitle = {{Large-scale randomized-coordinate descent methods with non-separable linear constraints}},\nbooktitle = {Uncertainty in Artificial Intelligence (UAI)},\nmon     = {May},\nyear = {2015},\nurl_pdf = {http://auai.org/uai2015/proceedings/papers/191.pdf}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mariet-sra-fixedpointalgorithmsforlearningdeterminantalpointprocesses-2015\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://proceedings.mlr.press/v37/mariet15.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mariet-sra-fixedpointalgorithmsforlearningdeterminantalpointprocesses-2015', 'http://proceedings.mlr.press/v37/mariet15.pdf', event);\">\n    Fixed-point algorithms for learning determinantal point processes.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Mariet, Z.;  and Sra, S.\n</span>\n\n  \n\n</span>\n\n  In <i>International Conference on Machine Learning (ICML)</i>,  2015. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://proceedings.mlr.press/v37/mariet15.pdf\"\n     onclick=\"log_download('mariet-sra-fixedpointalgorithmsforlearningdeterminantalpointprocesses-2015', 'http://proceedings.mlr.press/v37/mariet15.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Fixed-point algorithms for learning determinantal point processes [pdf]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mariet-sra-fixedpointalgorithmsforlearningdeterminantalpointprocesses-2015\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mariet-sra-fixedpointalgorithmsforlearningdeterminantalpointprocesses-2015')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@Inproceedings{marSra15,\nauthor = {Zelda Mariet and Suvrit Sra},\ntitle = {{Fixed-point algorithms for learning determinantal point processes}},\nbooktitle = {International Conference on Machine Learning (ICML)},\nmon     = {Jun},\nyear = {2015},\nurl_pdf = {http://proceedings.mlr.press/v37/mariet15.pdf}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"sra-hosseini-conicgeometricoptimizationonthemanifoldofpositivedefinitematrices-2015\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://epubs.siam.org/doi/abs/10.1137/140978168?af=R\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'sra-hosseini-conicgeometricoptimizationonthemanifoldofpositivedefinitematrices-2015', 'http://epubs.siam.org/doi/abs/10.1137/140978168?af=R', event);\">\n    Conic Geometric Optimization on the Manifold of Positive Definite Matrices.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Sra, S.;  and Hosseini, R.\n</span>\n\n  \n\n</span>\n\n  <i>SIAM J. Optimization (SIOPT)</i>, 25(1): 713–739.  2015.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://epubs.siam.org/doi/abs/10.1137/140978168?af=R\"\n     onclick=\"log_download('sra-hosseini-conicgeometricoptimizationonthemanifoldofpositivedefinitematrices-2015', 'http://epubs.siam.org/doi/abs/10.1137/140978168?af=R', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Conic Geometric Optimization on the Manifold of Positive Definite Matrices [link]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/sra-hosseini-conicgeometricoptimizationonthemanifoldofpositivedefinitematrices-2015\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('sra-hosseini-conicgeometricoptimizationonthemanifoldofpositivedefinitematrices-2015')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@Article{sraHo15,\nauthor = {Suvrit Sra and Reshad Hosseini},\ntitle = {{Conic Geometric Optimization on the Manifold of Positive Definite Matrices}},\nvolume = {25},\nnumber = {1},\npages  = {713--739},\njournal = {SIAM J. Optimization (SIOPT)},\nyear = {2015},\nurl_pdf = {http://epubs.siam.org/doi/abs/10.1137/140978168?af=R}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"hosseini-sra-theis-bethge-statisticalinferencewiththeellipticalgammadistribution-2015\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0167947316300251\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'hosseini-sra-theis-bethge-statisticalinferencewiththeellipticalgammadistribution-2015', 'http://www.sciencedirect.com/science/article/pii/S0167947316300251', event);\">\n    Statistical inference with the Elliptical Gamma Distribution.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Hosseini, R.; Sra, S.; Theis, L.;  and Bethge, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Artificial Intelligence and Statistics (AISTATS)</i>, volume 18,  2015. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.sciencedirect.com/science/article/pii/S0167947316300251\"\n     onclick=\"log_download('hosseini-sra-theis-bethge-statisticalinferencewiththeellipticalgammadistribution-2015', 'http://www.sciencedirect.com/science/article/pii/S0167947316300251', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Statistical inference with the Elliptical Gamma Distribution [link]\"\n       title=\" pdf\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\"> pdf</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/hosseini-sra-theis-bethge-statisticalinferencewiththeellipticalgammadistribution-2015\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('hosseini-sra-theis-bethge-statisticalinferencewiththeellipticalgammadistribution-2015')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@InProceedings{hoSra15,\nauthor = {Reshad Hosseini and Suvrit Sra and L. Theis and M. Bethge},\ntitle = {{Statistical inference with the Elliptical Gamma Distribution}},\nbooktitle = {Artificial Intelligence and Statistics (AISTATS)},\nyear = {2015},\nvolume = 18,\nurl_pdf = {http://www.sciencedirect.com/science/article/pii/S0167947316300251}\n}\n\n\n% KENJI\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"kawaguchi-kaelbling-lozanoprez-bayesianoptimizationwithexponentialconvergence-2015\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Bayesian optimization with exponential convergence.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Kawaguchi, K.; Kaelbling, L. P.;  and Lozano-Pérez, T.\n</span>\n\n  \n\n</span>\n\n  In <i>Advances in Neural Information Processing Systems (NIPS)</i>, pages 2809–2817,  2015. \n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/kawaguchi-kaelbling-lozanoprez-bayesianoptimizationwithexponentialconvergence-2015\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('kawaguchi-kaelbling-lozanoprez-bayesianoptimizationwithexponentialconvergence-2015')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{kawaguchi2015bayesian,\ntitle={Bayesian optimization with exponential convergence},\nauthor={Kawaguchi, Kenji and Kaelbling, Leslie Pack and Lozano-P{\\&#x27;e}rez, Tom{\\&#x27;a}s},\nbooktitle={Advances in Neural Information Processing Systems (NIPS)},\npages={2809--2817},\nyear={2015}\n}\n\n\n%%%%%%%%%%%%%%%%%%%%\n%% SASHA\n%%%%%%%%%%%%%%%%%%%%\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n\n\n\n  </div>\n\n\n  <!-- Modal -->\n\n  <!-- <iframe id=\"bibbase_network_frame\" -->\n  <!--         src=\"//bibbase.org/network/control\" -->\n  <!--         style=\"display: none;\"> -->\n  <!-- </iframe> -->\n\n</div>\n"}; document.write(bibbase_data.data);