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  author = {Mahtab Sarvmaili and Hassan Sajjad and Ga Wu},
  year = {2025},
  title = {Data-centric Prediction Explanation via Kernelized Stein Discrepancy},
  booktitle = {Proceedings of the 13th International Conference on Learning Representations (ICLR-2025)},
  address = {Singapore},
}



@inproceedings{Wu:iclr24,
  author = {Yi Sui and Tongzi Wu and Jesse C. Cresswell and Ga Wu and George Stein and Xiao Shi Huang and Xiaochen Zhang and Maksims Volkovs},
  year = {2024},
  title = {Self-supervised Representation Learning from Random Data Projectors},
  booktitle = {Proceedings of the 12th International Conference on Learning Representations (ICLR-2024)},
  address = {Vienna, Austria},
}



@article{Wu:tweb23,
  author    = {Mohamed Reda Bouadjenek and Scott Sanner and Ga Wu},
  title     = {A User-Centric Analysis of Social Media for Stock Market Prediction},
  journal   = {ACM Transactions on the Web (TWEB)},
  year      = {2023},
}



@inproceedings{Wu:bd23,
  author = {Ga Wu and Shivam Khare and Li Zhou and Yael Brumer and Jun-Ping Ng and Ruowei Wang},
  year = {2023},
  title = {Large-scale User Preference Tracking via Asynchronous and Asymmetric Updating at Twitter},
  booktitle = {Proceedings of the 2023 IEEE International Conference on Big Data (IEEE BigData-2023)},
  address = {Sorrento, Italy},
  note = {<font color="#778899"> (17.4\% acceptance rate)</font>},
}



@inproceedings{Wu:aaai22,
  author = {Ga Wu and Masoud Hashemi and Christopher Srinivasa},
  year = {2022},
  title = {PUMA: Performance Unchanged Model Augmentation for Training Data Removal},
  booktitle = {Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-2022)},
  address = {Vancouver, Canada},
  note = {<font color="#778899"> (15\% acceptance rate)</font>},
  url_paper = {https://www.aaai.org/AAAI22Papers/AAAI-10608.WuG.pdf}
}



@article{Wu:ml2022,
  author    = {Ga Wu and Justin Domke and Scott Sanner},
  title     = {Arbitrary conditional inference in variational autoencoders via fast prior network training},
  journal   = {Machine Learning, Springer},
  year      = {2022},
}



@inproceedings{Wu:www22,
  author    = {Tianshu Shen and Zheda Mai and Ga Wu and Scott Sanner },
  title     = {Distributional Contrastive Embedding for Clarification-based Conversational Critiquing},
  booktitle = {Proceedings of the 31th international conference on the topic of the World Wide Web {(WWW-22)}},
  address   = {Online, hosted by Lyon, France},
  year      = {2022},
  note = {<font color="#778899">(17.7\% acceptance rate)</font>}
}



@inproceedings{Wu:neurips21,
  author = {Yi Sui and Ga Wu and Scott Sanner},
  year = {2021},
  title = {Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models},
  booktitle = {Proceedings of the 35th Annual Conference on Advances in Neural Information Processing Systems ({NeurIPS-21})},
  address = {Online},
  note = {<font color="#778899"> (26\% acceptance rate)</font>},
  url_paper = {https://openreview.net/pdf?id=Wl32WBZnSP4},
}  



@inproceedings{Wu:umap21,
  author    = {Hojin Yang and Scott Sanner and Ga Wu and Jin Peng Zhou},
  title     = {Bayesian Preference Elicitation with Keyphase-Item Coembeddings for Interactive Recommendation},
  booktitle = {Proceedings of the 29th International Conference on User Modeling, Adaptation, and Personalization {(UMAP-21)}},
  address   = {Online},
  year      = {2021},
  note = {<font color="#778899"> (23.3\% acceptance rate)</font>},
  url_paper = {https://dl.acm.org/doi/10.1145/3450613.3456814},
}



@inproceedings{Wu:recsys20,
  author    = {Hanze Li and Scott Sanner and Kai Luo and Ga Wu},
  title     = {A Ranking Optimization Approach to Latent Linear Critiquing in Conversational Recommender System},
  booktitle = {Proceedings of the 14th International {ACM} Conference on Recommender Systems {(RecSys-20)}},
  address   = {Online},
  year      = {2020},
  note = {<font color="#778899"> (18\% acceptance rate)</font>},
  url_paper = {https://dl.acm.org/doi/10.1145/3383313.3412240},
}



@article{Wu:jair20,
  author    = {Ga Wu and Buser Say and Scott Sanner},
  title     = {Scalable Planning with Deep Neural Network Learned Transition Models},
  journal   = {Journal of Artificial Intelligence Research},
  year      = {2020},
  url_paper = {https://www.jair.org/index.php/jair/article/view/11829}
}



@inproceedings{Wu:sigir20,
  author    = {Kai Luo and Hojin Yang and Ga Wu and Scott Sanner},
  title     = {Deep Critiquing for VAE-based Recommender Systems},
  booktitle = {Proceedings of the 43rd International {ACM} {SIGIR} Conference on Research and Development in Information Retrieval {(SIGIR-20)}},
  address   = {Xi'an, China},
  year      = {2020},
  url_paper = {https://dl.acm.org/doi/abs/10.1145/3397271.3401091},
  note = {<font color="#778899">Oral presentation (26\% acceptance rate)</font>}
}



@inproceedings{Wu:www20,
  author    = {Kai Luo and Scott Sanner and Ga Wu and Hanze Li and Hojin Yang},
  title     = {Latent Linear Critiquing for Conversational Recommender Systems},
  booktitle = {Proceedings of the 29th international conference on the topic of the World Wide Web {(WWW-20)}},
  address   = {Taipei},
  year      = {2020},
  url_paper = {https://dl.acm.org/doi/10.1145/3366423.3380003},
  note = {<font color="#778899">Oral presentation (25\% acceptance rate)</font>}
}



@article{mai2020attentive,
  title={Attentive Autoencoders for Multifaceted Preference Learning in One-class Collaborative Filtering},
  author={Zheda Mai and Ga Wu and Kai Luo and Scott Sanner},
  journal={IEEE International Conference on Data Mining Workshop (ICDMW)},
  year={2020}
}



@article{Wu:thesis20,
  title={One-class Collaborative Filtering with Latent Embeddings: Improvements and Interactive Extensions},
  author={Ga Wu},
  journal={Ph.D. Thesis, University of Toronto},
  address={ON, Canada},
  year={2020}
}



@inproceedings{Wu:recsys19,
  author    = {Ga Wu and Kai Luo and Scott Sanner and Harold Soh},
  title     = {Deep Language-based Critiquing for Recommender Systems},
  booktitle = {Proceedings of the 13 International {ACM} Conference on Recommender Systems {(RecSys-19)}},
  address   = {Copenhagen, Denmark},
  year      = {2019},
  url_paper = {https://dl.acm.org/doi/10.1145/3298689.3347009},
  note = {<font color="#778899">Oral presentation (19\% acceptance rate)</font>}
}



@inproceedings{Wu:sigir19a,
  author    = {Ga Wu and Maksims Volkovs and Chee Loong Soon and Scott Sanner and Himanshu Rai},
  title     = {Noise Contrastive Estimation for One-Class Collaborative Filtering},
  booktitle = {Proceedings of the 42nd International {ACM} {SIGIR} Conference on Research and Development in Information Retrieval {(SIGIR-19)}},
  address   = {Paris, France},
  year      = {2019},
  url_paper = {https://dl.acm.org/doi/10.1145/3331184.3331201},
  note = {<font color="#778899">Oral presentation (19.7\% acceptance rate)</font>}
}



@inproceedings{Wu:sigir19b,
  author    = {Ga Wu and Mohamed Reda Bouadjenek and Scott Sanner},
  title     = {One-Class Collaborative Filtering with the Queryable Variational Autoencoder},
  booktitle = {Proceedings of the 42nd International {ACM} {SIGIR} Conference on Research and Development in Information Retrieval {(SIGIR-19)}},
  address   = {Paris, France},
  year      = {2019},
  url_paper = {https://dl.acm.org/doi/10.1145/3331184.3331292},
  note = {<font color="#778899"> (24.4\% acceptance rate)</font>}
}




@inproceedings{Wu:sdm19,
  author   = {Yakun Wang and Ga Wu and Mohamed Reda Bouadjenek and Scott Sanner and Sen Su and Zhongbao Zhang},
  title    = {A Novel Regularizer for Temporally Stable Learning with an Application to Twitter Topic Classification},
  booktitle = {Proceedings of the SIAM International Conference on Data Mining ({SDM-19})},
  address   = {Calgary, Canada},
  year      = {2019},
  url_paper = {https://epubs.siam.org/doi/pdf/10.1137/1.9781611975673.25},
  note = {<font color="#778899"> (22.7\% acceptance rate)</font>}
}  



@inproceedings{Wu:recsys18b,
  author = {Maksims Volkovs and Himanshu Rai and Zhaoyue Cheng and Ga Wu and Yichao Lu and Scott Sanner},
  title = {Two-stage Model for Automatic Playlist Continuation at Scale},
  booktitle = {Proceedings of the ACM Recommender Systems Challenge 2018 ({RecSys-18})},
  year = {2018},
  address = {Vancouver, BC, Canada},
  note = {1st place in 2018 ACM RecSys Challenge.},
  url_paper = {https://ssanner.github.io/papers/recsys18_challenge.pdf},
  note = {<font color="#778899"> Challenge Winner (1st Place) for Both Tracks! </font>}
}



@inproceedings{Wu:recsys18a,
  author = {Yu Qing Zhou and Ga Wu and Scott Sanner and Putra Manggala},
  title = {Aesthetic Features for Personalized Photo Recommendation},
  year = {2018},
  booktitle = {Proceedings of the 12th ACM Conference on Recommender Systems ({RecSys-18})},
  address = {Vancouver, BC, Canada},
  url_paper = {https://ssanner.github.io/papers/recsys18_aesthetic.pdf}
}



@inproceedings{Wu:nips17,
  author = {Ga Wu and Buser Say and Scott Sanner},
  year = {2017},
  title = {Scalable Planning with Tensorflow for Hybrid Nonlinear Domains},
  booktitle = {Proceedings of the 31st Annual Conference on Advances in Neural Information Processing Systems ({NIPS-17})},
  address = {Long Beach, CA},
  url_paper = {https://ssanner.github.io/papers/nips17_tfplan.pdf},
  note = {<font color="#778899"> (20.9\% acceptance rate)</font>}
}  



@inproceedings{Wu:ijcai17,
  author = {Buser Say and Ga Wu and Yuqing Ivan Zhou and Scott Sanner},
  year = {2017},
  title = {Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming},
  booktitle = {Proceedings of the 26th International Joint Conference on Artificial Intelligence ({IJCAI-17})},
  address = {Melbourne, Australia},
  url_paper = {https://ssanner.github.io/papers/ijcai17_hdmilp.pdf},
  note = {<font color="#778899"> (24.6\% acceptance rate)</font>}
}  




@inproceedings{Wu:aaai15d,
  author = {Ga Wu and Scott Sanner and Rodrigo F.S.C. Oliveira},
  title = {Bayesian Model Averaging Naive {Bayes}: Averaging over an Exponential Number of Feature Models in Linear Time},
  year = {2015},
  booktitle = {Proceedings of the 29th {AAAI} Conference on Artificial Intelligence ({AAAI-15})},
  address = {Austin, USA},
  url_paper = {http://users.rsise.anu.edu.au/~ssanner/Papers/aaai15_bmanb.pdf},
  note = {<font color="#778899">Oral presentation (26.7\% acceptance rate)</font>}
}
\">\n            <i class=\"fa fa-download fa-fw\"></i> Download BibTeX\n          </a>\n        </li>\n        <li>\n          <a href=\"//bibbase.org/rss?bib=https://raw.githubusercontent.com/wuga214/bibbase.github.io/master/wuga.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_2025\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2025')\"\n      onkeypress=\"toggleGroup('group_2025')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2025</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"sarvmaili-sajjad-wu-datacentricpredictionexplanationviakernelizedsteindiscrepancy-2025\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Data-centric Prediction Explanation via Kernelized Stein Discrepancy.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Sarvmaili, M.; Sajjad, H.;  and <a class=\"bibbase author link\" href=\"https://web.cs.dal.ca/~gaw/publications/\">Wu, G.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 13th International Conference on Learning Representations (ICLR-2025)</i>, Singapore,  2025. \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/sarvmaili-sajjad-wu-datacentricpredictionexplanationviakernelizedsteindiscrepancy-2025\"\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('sarvmaili-sajjad-wu-datacentricpredictionexplanationviakernelizedsteindiscrepancy-2025')\" -->\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{Wu:iclr25,\n  author = {Mahtab Sarvmaili and Hassan Sajjad and Ga Wu},\n  year = {2025},\n  title = {Data-centric Prediction Explanation via Kernelized Stein Discrepancy},\n  booktitle = {Proceedings of the 13th International Conference on Learning Representations (ICLR-2025)},\n  address = {Singapore},\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_2024\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2024')\"\n      onkeypress=\"toggleGroup('group_2024')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2024</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"sui-wu-cresswell-wu-stein-huang-zhang-volkovs-selfsupervisedrepresentationlearningfromrandomdataprojectors-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Self-supervised Representation Learning from Random Data Projectors.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Sui, Y.; Wu, T.; Cresswell, J. C.; <a class=\"bibbase author link\" href=\"https://web.cs.dal.ca/~gaw/publications/\">Wu, G.</a>; Stein, G.; Huang, X. S.; Zhang, X.;  and Volkovs, M.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 12th International Conference on Learning Representations (ICLR-2024)</i>, Vienna, Austria,  2024. \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/sui-wu-cresswell-wu-stein-huang-zhang-volkovs-selfsupervisedrepresentationlearningfromrandomdataprojectors-2024\"\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('sui-wu-cresswell-wu-stein-huang-zhang-volkovs-selfsupervisedrepresentationlearningfromrandomdataprojectors-2024')\" -->\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{Wu:iclr24,\n  author = {Yi Sui and Tongzi Wu and Jesse C. Cresswell and Ga Wu and George Stein and Xiao Shi Huang and Xiaochen Zhang and Maksims Volkovs},\n  year = {2024},\n  title = {Self-supervised Representation Learning from Random Data Projectors},\n  booktitle = {Proceedings of the 12th International Conference on Learning Representations (ICLR-2024)},\n  address = {Vienna, Austria},\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_2023\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2023')\"\n      onkeypress=\"toggleGroup('group_2023')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2023</span>\n      <span class=\"bibbase_group_count\">\n        \n        (2)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"bouadjenek-sanner-wu-ausercentricanalysisofsocialmediaforstockmarketprediction-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  A User-Centric Analysis of Social Media for Stock Market Prediction.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Bouadjenek, M. R.; Sanner, S.;  and <a class=\"bibbase author link\" href=\"https://web.cs.dal.ca/~gaw/publications/\">Wu, G.</a>\n</span>\n\n  \n\n</span>\n\n  <i>ACM Transactions on the Web (TWEB)</i>.  2023.\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/bouadjenek-sanner-wu-ausercentricanalysisofsocialmediaforstockmarketprediction-2023\"\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>10 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('bouadjenek-sanner-wu-ausercentricanalysisofsocialmediaforstockmarketprediction-2023')\" -->\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{Wu:tweb23,\n  author    = {Mohamed Reda Bouadjenek and Scott Sanner and Ga Wu},\n  title     = {A User-Centric Analysis of Social Media for Stock Market Prediction},\n  journal   = {ACM Transactions on the Web (TWEB)},\n  year      = {2023},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"wu-khare-zhou-brumer-ng-wang-largescaleuserpreferencetrackingviaasynchronousandasymmetricupdatingattwitter-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Large-scale User Preference Tracking via Asynchronous and Asymmetric Updating at Twitter.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://web.cs.dal.ca/~gaw/publications/\">Wu, G.</a>; Khare, S.; Zhou, L.; Brumer, Y.; Ng, J.;  and Wang, R.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 2023 IEEE International Conference on Big Data (IEEE BigData-2023)</i>, Sorrento, Italy,  2023. \n  <span class=\"note\"><font color=\"#778899\"> (17.4% acceptance rate)</font></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/wu-khare-zhou-brumer-ng-wang-largescaleuserpreferencetrackingviaasynchronousandasymmetricupdatingattwitter-2023\"\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('wu-khare-zhou-brumer-ng-wang-largescaleuserpreferencetrackingviaasynchronousandasymmetricupdatingattwitter-2023')\" -->\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{Wu:bd23,\n  author = {Ga Wu and Shivam Khare and Li Zhou and Yael Brumer and Jun-Ping Ng and Ruowei Wang},\n  year = {2023},\n  title = {Large-scale User Preference Tracking via Asynchronous and Asymmetric Updating at Twitter},\n  booktitle = {Proceedings of the 2023 IEEE International Conference on Big Data (IEEE BigData-2023)},\n  address = {Sorrento, Italy},\n  note = {&lt;font color=&quot;#778899&quot;&gt; (17.4\\% acceptance rate)&lt;/font&gt;},\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_2022\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2022')\"\n      onkeypress=\"toggleGroup('group_2022')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2022</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=\"wu-hashemi-srinivasa-pumaperformanceunchangedmodelaugmentationfortrainingdataremoval-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.aaai.org/AAAI22Papers/AAAI-10608.WuG.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'wu-hashemi-srinivasa-pumaperformanceunchangedmodelaugmentationfortrainingdataremoval-2022', 'https://www.aaai.org/AAAI22Papers/AAAI-10608.WuG.pdf', event);\">\n    PUMA: Performance Unchanged Model Augmentation for Training Data Removal.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://web.cs.dal.ca/~gaw/publications/\">Wu, G.</a>; Hashemi, M.;  and Srinivasa, C.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-2022)</i>, Vancouver, Canada,  2022. \n  <span class=\"note\"><font color=\"#778899\"> (15% acceptance rate)</font></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.aaai.org/AAAI22Papers/AAAI-10608.WuG.pdf\"\n     onclick=\"log_download('wu-hashemi-srinivasa-pumaperformanceunchangedmodelaugmentationfortrainingdataremoval-2022', 'https://www.aaai.org/AAAI22Papers/AAAI-10608.WuG.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"PUMA: Performance Unchanged Model Augmentation for Training Data Removal [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/wu-hashemi-srinivasa-pumaperformanceunchangedmodelaugmentationfortrainingdataremoval-2022\"\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>26 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('wu-hashemi-srinivasa-pumaperformanceunchangedmodelaugmentationfortrainingdataremoval-2022')\" -->\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{Wu:aaai22,\n  author = {Ga Wu and Masoud Hashemi and Christopher Srinivasa},\n  year = {2022},\n  title = {PUMA: Performance Unchanged Model Augmentation for Training Data Removal},\n  booktitle = {Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-2022)},\n  address = {Vancouver, Canada},\n  note = {&lt;font color=&quot;#778899&quot;&gt; (15\\% acceptance rate)&lt;/font&gt;},\n  url_paper = {https://www.aaai.org/AAAI22Papers/AAAI-10608.WuG.pdf}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"wu-domke-sanner-arbitraryconditionalinferenceinvariationalautoencodersviafastpriornetworktraining-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Arbitrary conditional inference in variational autoencoders via fast prior network training.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://web.cs.dal.ca/~gaw/publications/\">Wu, G.</a>; Domke, J.;  and Sanner, S.\n</span>\n\n  \n\n</span>\n\n  <i>Machine Learning, Springer</i>.  2022.\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/wu-domke-sanner-arbitraryconditionalinferenceinvariationalautoencodersviafastpriornetworktraining-2022\"\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>15 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('wu-domke-sanner-arbitraryconditionalinferenceinvariationalautoencodersviafastpriornetworktraining-2022')\" -->\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{Wu:ml2022,\n  author    = {Ga Wu and Justin Domke and Scott Sanner},\n  title     = {Arbitrary conditional inference in variational autoencoders via fast prior network training},\n  journal   = {Machine Learning, Springer},\n  year      = {2022},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"shen-mai-wu-sanner-distributionalcontrastiveembeddingforclarificationbasedconversationalcritiquing-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Distributional Contrastive Embedding for Clarification-based Conversational Critiquing.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Shen, T.; Mai, Z.; <a class=\"bibbase author link\" href=\"https://web.cs.dal.ca/~gaw/publications/\">Wu, G.</a>;  and Sanner, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 31th international conference on the topic of the World Wide Web (WWW-22)</i>, Online, hosted by Lyon, France,  2022. \n  <span class=\"note\"><font color=\"#778899\">(17.7% acceptance rate)</font></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/shen-mai-wu-sanner-distributionalcontrastiveembeddingforclarificationbasedconversationalcritiquing-2022\"\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>25 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('shen-mai-wu-sanner-distributionalcontrastiveembeddingforclarificationbasedconversationalcritiquing-2022')\" -->\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{Wu:www22,\n  author    = {Tianshu Shen and Zheda Mai and Ga Wu and Scott Sanner },\n  title     = {Distributional Contrastive Embedding for Clarification-based Conversational Critiquing},\n  booktitle = {Proceedings of the 31th international conference on the topic of the World Wide Web {(WWW-22)}},\n  address   = {Online, hosted by Lyon, France},\n  year      = {2022},\n  note = {&lt;font color=&quot;#778899&quot;&gt;(17.7\\% acceptance rate)&lt;/font&gt;}\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_2021\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2021')\"\n      onkeypress=\"toggleGroup('group_2021')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2021</span>\n      <span class=\"bibbase_group_count\">\n        \n        (2)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"sui-wu-sanner-representerpointselectionvialocaljacobianexpansionforposthocclassifierexplanationofdeepneuralnetworksandensemblemodels-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://openreview.net/pdf?id=Wl32WBZnSP4\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'sui-wu-sanner-representerpointselectionvialocaljacobianexpansionforposthocclassifierexplanationofdeepneuralnetworksandensemblemodels-2021', 'https://openreview.net/pdf?id=Wl32WBZnSP4', event);\">\n    Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Sui, Y.; <a class=\"bibbase author link\" href=\"https://web.cs.dal.ca/~gaw/publications/\">Wu, G.</a>;  and Sanner, S.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 35th Annual Conference on Advances in Neural Information Processing Systems (NeurIPS-21)</i>, Online,  2021. \n  <span class=\"note\"><font color=\"#778899\"> (26% acceptance rate)</font></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://openreview.net/pdf?id=Wl32WBZnSP4\"\n     onclick=\"log_download('sui-wu-sanner-representerpointselectionvialocaljacobianexpansionforposthocclassifierexplanationofdeepneuralnetworksandensemblemodels-2021', 'https://openreview.net/pdf?id=Wl32WBZnSP4', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models [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/sui-wu-sanner-representerpointselectionvialocaljacobianexpansionforposthocclassifierexplanationofdeepneuralnetworksandensemblemodels-2021\"\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>23 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('sui-wu-sanner-representerpointselectionvialocaljacobianexpansionforposthocclassifierexplanationofdeepneuralnetworksandensemblemodels-2021')\" -->\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{Wu:neurips21,\n  author = {Yi Sui and Ga Wu and Scott Sanner},\n  year = {2021},\n  title = {Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models},\n  booktitle = {Proceedings of the 35th Annual Conference on Advances in Neural Information Processing Systems ({NeurIPS-21})},\n  address = {Online},\n  note = {&lt;font color=&quot;#778899&quot;&gt; (26\\% acceptance rate)&lt;/font&gt;},\n  url_paper = {https://openreview.net/pdf?id=Wl32WBZnSP4},\n}  \n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"yang-sanner-wu-zhou-bayesianpreferenceelicitationwithkeyphaseitemcoembeddingsforinteractiverecommendation-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://dl.acm.org/doi/10.1145/3450613.3456814\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'yang-sanner-wu-zhou-bayesianpreferenceelicitationwithkeyphaseitemcoembeddingsforinteractiverecommendation-2021', 'https://dl.acm.org/doi/10.1145/3450613.3456814', event);\">\n    Bayesian Preference Elicitation with Keyphase-Item Coembeddings for Interactive Recommendation.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Yang, H.; <a class=\"bibbase author link\" href=\"https://d3m.mie.utoronto.ca/publications/\">Sanner, S.</a>; <a class=\"bibbase author link\" href=\"https://web.cs.dal.ca/~gaw/publications/\">Wu, G.</a>;  and Zhou, J. P.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 29th International Conference on User Modeling, Adaptation, and Personalization (UMAP-21)</i>, Online,  2021. \n  <span class=\"note\"><font color=\"#778899\"> (23.3% acceptance rate)</font></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://dl.acm.org/doi/10.1145/3450613.3456814\"\n     onclick=\"log_download('yang-sanner-wu-zhou-bayesianpreferenceelicitationwithkeyphaseitemcoembeddingsforinteractiverecommendation-2021', 'https://dl.acm.org/doi/10.1145/3450613.3456814', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Bayesian Preference Elicitation with Keyphase-Item Coembeddings for Interactive Recommendation [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/yang-sanner-wu-zhou-bayesianpreferenceelicitationwithkeyphaseitemcoembeddingsforinteractiverecommendation-2021\"\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>63 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('yang-sanner-wu-zhou-bayesianpreferenceelicitationwithkeyphaseitemcoembeddingsforinteractiverecommendation-2021')\" -->\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{Wu:umap21,\n  author    = {Hojin Yang and Scott Sanner and Ga Wu and Jin Peng Zhou},\n  title     = {Bayesian Preference Elicitation with Keyphase-Item Coembeddings for Interactive Recommendation},\n  booktitle = {Proceedings of the 29th International Conference on User Modeling, Adaptation, and Personalization {(UMAP-21)}},\n  address   = {Online},\n  year      = {2021},\n  note = {&lt;font color=&quot;#778899&quot;&gt; (23.3\\% acceptance rate)&lt;/font&gt;},\n  url_paper = {https://dl.acm.org/doi/10.1145/3450613.3456814},\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_2020\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2020')\"\n      onkeypress=\"toggleGroup('group_2020')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2020</span>\n      <span class=\"bibbase_group_count\">\n        \n        (6)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"li-sanner-luo-wu-arankingoptimizationapproachtolatentlinearcritiquinginconversationalrecommendersystem-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://dl.acm.org/doi/10.1145/3383313.3412240\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'li-sanner-luo-wu-arankingoptimizationapproachtolatentlinearcritiquinginconversationalrecommendersystem-2020', 'https://dl.acm.org/doi/10.1145/3383313.3412240', event);\">\n    A Ranking Optimization Approach to Latent Linear Critiquing in Conversational Recommender System.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Li, H.; <a class=\"bibbase author link\" href=\"https://d3m.mie.utoronto.ca/publications/\">Sanner, S.</a>; Luo, K.;  and <a class=\"bibbase author link\" href=\"https://web.cs.dal.ca/~gaw/publications/\">Wu, G.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 14th International ACM Conference on Recommender Systems (RecSys-20)</i>, Online,  2020. \n  <span class=\"note\"><font color=\"#778899\"> (18% acceptance rate)</font></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://dl.acm.org/doi/10.1145/3383313.3412240\"\n     onclick=\"log_download('li-sanner-luo-wu-arankingoptimizationapproachtolatentlinearcritiquinginconversationalrecommendersystem-2020', 'https://dl.acm.org/doi/10.1145/3383313.3412240', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A Ranking Optimization Approach to Latent Linear Critiquing in Conversational Recommender System [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/li-sanner-luo-wu-arankingoptimizationapproachtolatentlinearcritiquinginconversationalrecommendersystem-2020\"\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>95 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('li-sanner-luo-wu-arankingoptimizationapproachtolatentlinearcritiquinginconversationalrecommendersystem-2020')\" -->\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{Wu:recsys20,\n  author    = {Hanze Li and Scott Sanner and Kai Luo and Ga Wu},\n  title     = {A Ranking Optimization Approach to Latent Linear Critiquing in Conversational Recommender System},\n  booktitle = {Proceedings of the 14th International {ACM} Conference on Recommender Systems {(RecSys-20)}},\n  address   = {Online},\n  year      = {2020},\n  note = {&lt;font color=&quot;#778899&quot;&gt; (18\\% acceptance rate)&lt;/font&gt;},\n  url_paper = {https://dl.acm.org/doi/10.1145/3383313.3412240},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"wu-say-sanner-scalableplanningwithdeepneuralnetworklearnedtransitionmodels-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.jair.org/index.php/jair/article/view/11829\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'wu-say-sanner-scalableplanningwithdeepneuralnetworklearnedtransitionmodels-2020', 'https://www.jair.org/index.php/jair/article/view/11829', event);\">\n    Scalable Planning with Deep Neural Network Learned Transition Models.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://web.cs.dal.ca/~gaw/publications/\">Wu, G.</a>; <a class=\"bibbase author link\" href=\"https://saybuser.github.io/publications\">Say, B.</a>;  and <a class=\"bibbase author link\" href=\"https://d3m.mie.utoronto.ca/publications/\">Sanner, S.</a>\n</span>\n\n  \n\n</span>\n\n  <i>Journal of Artificial Intelligence Research</i>.  2020.\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.jair.org/index.php/jair/article/view/11829\"\n     onclick=\"log_download('wu-say-sanner-scalableplanningwithdeepneuralnetworklearnedtransitionmodels-2020', 'https://www.jair.org/index.php/jair/article/view/11829', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Scalable Planning with Deep Neural Network Learned Transition Models [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/wu-say-sanner-scalableplanningwithdeepneuralnetworklearnedtransitionmodels-2020\"\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>54 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('wu-say-sanner-scalableplanningwithdeepneuralnetworklearnedtransitionmodels-2020')\" -->\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{Wu:jair20,\n  author    = {Ga Wu and Buser Say and Scott Sanner},\n  title     = {Scalable Planning with Deep Neural Network Learned Transition Models},\n  journal   = {Journal of Artificial Intelligence Research},\n  year      = {2020},\n  url_paper = {https://www.jair.org/index.php/jair/article/view/11829}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"luo-yang-wu-sanner-deepcritiquingforvaebasedrecommendersystems-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://dl.acm.org/doi/abs/10.1145/3397271.3401091\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'luo-yang-wu-sanner-deepcritiquingforvaebasedrecommendersystems-2020', 'https://dl.acm.org/doi/abs/10.1145/3397271.3401091', event);\">\n    Deep Critiquing for VAE-based Recommender Systems.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Luo, K.; Yang, H.; <a class=\"bibbase author link\" href=\"https://web.cs.dal.ca/~gaw/publications/\">Wu, G.</a>;  and <a class=\"bibbase author link\" href=\"https://d3m.mie.utoronto.ca/publications/\">Sanner, S.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-20)</i>, Xi'an, China,  2020. \n  <span class=\"note\"><font color=\"#778899\">Oral presentation (26% acceptance rate)</font></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://dl.acm.org/doi/abs/10.1145/3397271.3401091\"\n     onclick=\"log_download('luo-yang-wu-sanner-deepcritiquingforvaebasedrecommendersystems-2020', 'https://dl.acm.org/doi/abs/10.1145/3397271.3401091', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Deep Critiquing for VAE-based Recommender Systems [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/luo-yang-wu-sanner-deepcritiquingforvaebasedrecommendersystems-2020\"\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>138 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('luo-yang-wu-sanner-deepcritiquingforvaebasedrecommendersystems-2020')\" -->\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{Wu:sigir20,\n  author    = {Kai Luo and Hojin Yang and Ga Wu and Scott Sanner},\n  title     = {Deep Critiquing for VAE-based Recommender Systems},\n  booktitle = {Proceedings of the 43rd International {ACM} {SIGIR} Conference on Research and Development in Information Retrieval {(SIGIR-20)}},\n  address   = {Xi&#x27;an, China},\n  year      = {2020},\n  url_paper = {https://dl.acm.org/doi/abs/10.1145/3397271.3401091},\n  note = {&lt;font color=&quot;#778899&quot;&gt;Oral presentation (26\\% acceptance rate)&lt;/font&gt;}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"luo-sanner-wu-li-yang-latentlinearcritiquingforconversationalrecommendersystems-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://dl.acm.org/doi/10.1145/3366423.3380003\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'luo-sanner-wu-li-yang-latentlinearcritiquingforconversationalrecommendersystems-2020', 'https://dl.acm.org/doi/10.1145/3366423.3380003', event);\">\n    Latent Linear Critiquing for Conversational Recommender Systems.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Luo, K.; <a class=\"bibbase author link\" href=\"https://d3m.mie.utoronto.ca/publications/\">Sanner, S.</a>; <a class=\"bibbase author link\" href=\"https://web.cs.dal.ca/~gaw/publications/\">Wu, G.</a>; Li, H.;  and Yang, H.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 29th international conference on the topic of the World Wide Web (WWW-20)</i>, Taipei,  2020. \n  <span class=\"note\"><font color=\"#778899\">Oral presentation (25% acceptance rate)</font></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://dl.acm.org/doi/10.1145/3366423.3380003\"\n     onclick=\"log_download('luo-sanner-wu-li-yang-latentlinearcritiquingforconversationalrecommendersystems-2020', 'https://dl.acm.org/doi/10.1145/3366423.3380003', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Latent Linear Critiquing for Conversational Recommender Systems [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/luo-sanner-wu-li-yang-latentlinearcritiquingforconversationalrecommendersystems-2020\"\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>76 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('luo-sanner-wu-li-yang-latentlinearcritiquingforconversationalrecommendersystems-2020')\" -->\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{Wu:www20,\n  author    = {Kai Luo and Scott Sanner and Ga Wu and Hanze Li and Hojin Yang},\n  title     = {Latent Linear Critiquing for Conversational Recommender Systems},\n  booktitle = {Proceedings of the 29th international conference on the topic of the World Wide Web {(WWW-20)}},\n  address   = {Taipei},\n  year      = {2020},\n  url_paper = {https://dl.acm.org/doi/10.1145/3366423.3380003},\n  note = {&lt;font color=&quot;#778899&quot;&gt;Oral presentation (25\\% acceptance rate)&lt;/font&gt;}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mai-wu-luo-sanner-attentiveautoencodersformultifacetedpreferencelearninginoneclasscollaborativefiltering-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Attentive Autoencoders for Multifaceted Preference Learning in One-class Collaborative Filtering.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Mai, Z.; <a class=\"bibbase author link\" href=\"https://web.cs.dal.ca/~gaw/publications/\">Wu, G.</a>; Luo, K.;  and <a class=\"bibbase author link\" href=\"https://d3m.mie.utoronto.ca/publications/\">Sanner, S.</a>\n</span>\n\n  \n\n</span>\n\n  <i>IEEE International Conference on Data Mining Workshop (ICDMW)</i>.  2020.\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/mai-wu-luo-sanner-attentiveautoencodersformultifacetedpreferencelearninginoneclasscollaborativefiltering-2020\"\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('mai-wu-luo-sanner-attentiveautoencodersformultifacetedpreferencelearninginoneclasscollaborativefiltering-2020')\" -->\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{mai2020attentive,\n  title={Attentive Autoencoders for Multifaceted Preference Learning in One-class Collaborative Filtering},\n  author={Zheda Mai and Ga Wu and Kai Luo and Scott Sanner},\n  journal={IEEE International Conference on Data Mining Workshop (ICDMW)},\n  year={2020}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"wu-oneclasscollaborativefilteringwithlatentembeddingsimprovementsandinteractiveextensions-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  One-class Collaborative Filtering with Latent Embeddings: Improvements and Interactive Extensions.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://web.cs.dal.ca/~gaw/publications/\">Wu, G.</a>\n</span>\n\n  \n\n</span>\n\n  <i>Ph.D. Thesis, University of Toronto</i>.  2020.\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/wu-oneclasscollaborativefilteringwithlatentembeddingsimprovementsandinteractiveextensions-2020\"\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('wu-oneclasscollaborativefilteringwithlatentembeddingsimprovementsandinteractiveextensions-2020')\" -->\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{Wu:thesis20,\n  title={One-class Collaborative Filtering with Latent Embeddings: Improvements and Interactive Extensions},\n  author={Ga Wu},\n  journal={Ph.D. Thesis, University of Toronto},\n  address={ON, Canada},\n  year={2020}\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_2019\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2019')\"\n      onkeypress=\"toggleGroup('group_2019')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2019</span>\n      <span class=\"bibbase_group_count\">\n        \n        (4)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"wu-luo-sanner-soh-deeplanguagebasedcritiquingforrecommendersystems-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://dl.acm.org/doi/10.1145/3298689.3347009\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'wu-luo-sanner-soh-deeplanguagebasedcritiquingforrecommendersystems-2019', 'https://dl.acm.org/doi/10.1145/3298689.3347009', event);\">\n    Deep Language-based Critiquing for Recommender Systems.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://web.cs.dal.ca/~gaw/publications/\">Wu, G.</a>; Luo, K.; <a class=\"bibbase author link\" href=\"https://d3m.mie.utoronto.ca/publications/\">Sanner, S.</a>;  and Soh, H.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 13 International ACM Conference on Recommender Systems (RecSys-19)</i>, Copenhagen, Denmark,  2019. \n  <span class=\"note\"><font color=\"#778899\">Oral presentation (19% acceptance rate)</font></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://dl.acm.org/doi/10.1145/3298689.3347009\"\n     onclick=\"log_download('wu-luo-sanner-soh-deeplanguagebasedcritiquingforrecommendersystems-2019', 'https://dl.acm.org/doi/10.1145/3298689.3347009', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Deep Language-based Critiquing for Recommender Systems [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/wu-luo-sanner-soh-deeplanguagebasedcritiquingforrecommendersystems-2019\"\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>71 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('wu-luo-sanner-soh-deeplanguagebasedcritiquingforrecommendersystems-2019')\" -->\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{Wu:recsys19,\n  author    = {Ga Wu and Kai Luo and Scott Sanner and Harold Soh},\n  title     = {Deep Language-based Critiquing for Recommender Systems},\n  booktitle = {Proceedings of the 13 International {ACM} Conference on Recommender Systems {(RecSys-19)}},\n  address   = {Copenhagen, Denmark},\n  year      = {2019},\n  url_paper = {https://dl.acm.org/doi/10.1145/3298689.3347009},\n  note = {&lt;font color=&quot;#778899&quot;&gt;Oral presentation (19\\% acceptance rate)&lt;/font&gt;}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"wu-volkovs-soon-sanner-rai-noisecontrastiveestimationforoneclasscollaborativefiltering-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://dl.acm.org/doi/10.1145/3331184.3331201\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'wu-volkovs-soon-sanner-rai-noisecontrastiveestimationforoneclasscollaborativefiltering-2019', 'https://dl.acm.org/doi/10.1145/3331184.3331201', event);\">\n    Noise Contrastive Estimation for One-Class Collaborative Filtering.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://web.cs.dal.ca/~gaw/publications/\">Wu, G.</a>; Volkovs, M.; Soon, C. L.; <a class=\"bibbase author link\" href=\"https://d3m.mie.utoronto.ca/publications/\">Sanner, S.</a>;  and Rai, H.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-19)</i>, Paris, France,  2019. \n  <span class=\"note\"><font color=\"#778899\">Oral presentation (19.7% acceptance rate)</font></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://dl.acm.org/doi/10.1145/3331184.3331201\"\n     onclick=\"log_download('wu-volkovs-soon-sanner-rai-noisecontrastiveestimationforoneclasscollaborativefiltering-2019', 'https://dl.acm.org/doi/10.1145/3331184.3331201', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Noise Contrastive Estimation for One-Class Collaborative Filtering [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/wu-volkovs-soon-sanner-rai-noisecontrastiveestimationforoneclasscollaborativefiltering-2019\"\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>42 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('wu-volkovs-soon-sanner-rai-noisecontrastiveestimationforoneclasscollaborativefiltering-2019')\" -->\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{Wu:sigir19a,\n  author    = {Ga Wu and Maksims Volkovs and Chee Loong Soon and Scott Sanner and Himanshu Rai},\n  title     = {Noise Contrastive Estimation for One-Class Collaborative Filtering},\n  booktitle = {Proceedings of the 42nd International {ACM} {SIGIR} Conference on Research and Development in Information Retrieval {(SIGIR-19)}},\n  address   = {Paris, France},\n  year      = {2019},\n  url_paper = {https://dl.acm.org/doi/10.1145/3331184.3331201},\n  note = {&lt;font color=&quot;#778899&quot;&gt;Oral presentation (19.7\\% acceptance rate)&lt;/font&gt;}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"wu-bouadjenek-sanner-oneclasscollaborativefilteringwiththequeryablevariationalautoencoder-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://dl.acm.org/doi/10.1145/3331184.3331292\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'wu-bouadjenek-sanner-oneclasscollaborativefilteringwiththequeryablevariationalautoencoder-2019', 'https://dl.acm.org/doi/10.1145/3331184.3331292', event);\">\n    One-Class Collaborative Filtering with the Queryable Variational Autoencoder.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://web.cs.dal.ca/~gaw/publications/\">Wu, G.</a>; Bouadjenek, M. R.;  and <a class=\"bibbase author link\" href=\"https://d3m.mie.utoronto.ca/publications/\">Sanner, S.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-19)</i>, Paris, France,  2019. \n  <span class=\"note\"><font color=\"#778899\"> (24.4% acceptance rate)</font></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://dl.acm.org/doi/10.1145/3331184.3331292\"\n     onclick=\"log_download('wu-bouadjenek-sanner-oneclasscollaborativefilteringwiththequeryablevariationalautoencoder-2019', 'https://dl.acm.org/doi/10.1145/3331184.3331292', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"One-Class Collaborative Filtering with the Queryable Variational Autoencoder [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/wu-bouadjenek-sanner-oneclasscollaborativefilteringwiththequeryablevariationalautoencoder-2019\"\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>25 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('wu-bouadjenek-sanner-oneclasscollaborativefilteringwiththequeryablevariationalautoencoder-2019')\" -->\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{Wu:sigir19b,\n  author    = {Ga Wu and Mohamed Reda Bouadjenek and Scott Sanner},\n  title     = {One-Class Collaborative Filtering with the Queryable Variational Autoencoder},\n  booktitle = {Proceedings of the 42nd International {ACM} {SIGIR} Conference on Research and Development in Information Retrieval {(SIGIR-19)}},\n  address   = {Paris, France},\n  year      = {2019},\n  url_paper = {https://dl.acm.org/doi/10.1145/3331184.3331292},\n  note = {&lt;font color=&quot;#778899&quot;&gt; (24.4\\% acceptance rate)&lt;/font&gt;}\n}\n\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"wang-wu-bouadjenek-sanner-su-zhang-anovelregularizerfortemporallystablelearningwithanapplicationtotwittertopicclassification-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://epubs.siam.org/doi/pdf/10.1137/1.9781611975673.25\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'wang-wu-bouadjenek-sanner-su-zhang-anovelregularizerfortemporallystablelearningwithanapplicationtotwittertopicclassification-2019', 'https://epubs.siam.org/doi/pdf/10.1137/1.9781611975673.25', event);\">\n    A Novel Regularizer for Temporally Stable Learning with an Application to Twitter Topic Classification.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Wang, Y.; <a class=\"bibbase author link\" href=\"https://web.cs.dal.ca/~gaw/publications/\">Wu, G.</a>; Bouadjenek, M. R.; <a class=\"bibbase author link\" href=\"https://d3m.mie.utoronto.ca/publications/\">Sanner, S.</a>; Su, S.;  and Zhang, Z.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the SIAM International Conference on Data Mining (SDM-19)</i>, Calgary, Canada,  2019. \n  <span class=\"note\"><font color=\"#778899\"> (22.7% acceptance rate)</font></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://epubs.siam.org/doi/pdf/10.1137/1.9781611975673.25\"\n     onclick=\"log_download('wang-wu-bouadjenek-sanner-su-zhang-anovelregularizerfortemporallystablelearningwithanapplicationtotwittertopicclassification-2019', 'https://epubs.siam.org/doi/pdf/10.1137/1.9781611975673.25', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A Novel Regularizer for Temporally Stable Learning with an Application to Twitter Topic Classification [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-wu-bouadjenek-sanner-su-zhang-anovelregularizerfortemporallystablelearningwithanapplicationtotwittertopicclassification-2019\"\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>16 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('wang-wu-bouadjenek-sanner-su-zhang-anovelregularizerfortemporallystablelearningwithanapplicationtotwittertopicclassification-2019')\" -->\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{Wu:sdm19,\n  author   = {Yakun Wang and Ga Wu and Mohamed Reda Bouadjenek and Scott Sanner and Sen Su and Zhongbao Zhang},\n  title    = {A Novel Regularizer for Temporally Stable Learning with an Application to Twitter Topic Classification},\n  booktitle = {Proceedings of the SIAM International Conference on Data Mining ({SDM-19})},\n  address   = {Calgary, Canada},\n  year      = {2019},\n  url_paper = {https://epubs.siam.org/doi/pdf/10.1137/1.9781611975673.25},\n  note = {&lt;font color=&quot;#778899&quot;&gt; (22.7\\% acceptance rate)&lt;/font&gt;}\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_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        (2)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"volkovs-rai-cheng-wu-lu-sanner-twostagemodelforautomaticplaylistcontinuationatscale-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://ssanner.github.io/papers/recsys18_challenge.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'volkovs-rai-cheng-wu-lu-sanner-twostagemodelforautomaticplaylistcontinuationatscale-2018', 'https://ssanner.github.io/papers/recsys18_challenge.pdf', event);\">\n    Two-stage Model for Automatic Playlist Continuation at Scale.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Volkovs, M.; Rai, H.; Cheng, Z.; <a class=\"bibbase author link\" href=\"https://web.cs.dal.ca/~gaw/publications/\">Wu, G.</a>; Lu, Y.;  and <a class=\"bibbase author link\" href=\"https://d3m.mie.utoronto.ca/publications/\">Sanner, S.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the ACM Recommender Systems Challenge 2018 (RecSys-18)</i>, Vancouver, BC, Canada,  2018. \n  <span class=\"note\"><font color=\"#778899\"> Challenge Winner (1st Place) for Both Tracks! </font></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://ssanner.github.io/papers/recsys18_challenge.pdf\"\n     onclick=\"log_download('volkovs-rai-cheng-wu-lu-sanner-twostagemodelforautomaticplaylistcontinuationatscale-2018', 'https://ssanner.github.io/papers/recsys18_challenge.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Two-stage Model for Automatic Playlist Continuation at Scale [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/volkovs-rai-cheng-wu-lu-sanner-twostagemodelforautomaticplaylistcontinuationatscale-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  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>6 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('volkovs-rai-cheng-wu-lu-sanner-twostagemodelforautomaticplaylistcontinuationatscale-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{Wu:recsys18b,\n  author = {Maksims Volkovs and Himanshu Rai and Zhaoyue Cheng and Ga Wu and Yichao Lu and Scott Sanner},\n  title = {Two-stage Model for Automatic Playlist Continuation at Scale},\n  booktitle = {Proceedings of the ACM Recommender Systems Challenge 2018 ({RecSys-18})},\n  year = {2018},\n  address = {Vancouver, BC, Canada},\n  note = {1st place in 2018 ACM RecSys Challenge.},\n  url_paper = {https://ssanner.github.io/papers/recsys18_challenge.pdf},\n  note = {&lt;font color=&quot;#778899&quot;&gt; Challenge Winner (1st Place) for Both Tracks! &lt;/font&gt;}\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"zhou-wu-sanner-manggala-aestheticfeaturesforpersonalizedphotorecommendation-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://ssanner.github.io/papers/recsys18_aesthetic.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'zhou-wu-sanner-manggala-aestheticfeaturesforpersonalizedphotorecommendation-2018', 'https://ssanner.github.io/papers/recsys18_aesthetic.pdf', event);\">\n    Aesthetic Features for Personalized Photo Recommendation.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Zhou, Y. Q.; <a class=\"bibbase author link\" href=\"https://web.cs.dal.ca/~gaw/publications/\">Wu, G.</a>; <a class=\"bibbase author link\" href=\"https://d3m.mie.utoronto.ca/publications/\">Sanner, S.</a>;  and Manggala, P.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 12th ACM Conference on Recommender Systems (RecSys-18)</i>, Vancouver, BC, Canada,  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://ssanner.github.io/papers/recsys18_aesthetic.pdf\"\n     onclick=\"log_download('zhou-wu-sanner-manggala-aestheticfeaturesforpersonalizedphotorecommendation-2018', 'https://ssanner.github.io/papers/recsys18_aesthetic.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Aesthetic Features for Personalized Photo Recommendation [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/zhou-wu-sanner-manggala-aestheticfeaturesforpersonalizedphotorecommendation-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  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>8 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('zhou-wu-sanner-manggala-aestheticfeaturesforpersonalizedphotorecommendation-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{Wu:recsys18a,\n  author = {Yu Qing Zhou and Ga Wu and Scott Sanner and Putra Manggala},\n  title = {Aesthetic Features for Personalized Photo Recommendation},\n  year = {2018},\n  booktitle = {Proceedings of the 12th ACM Conference on Recommender Systems ({RecSys-18})},\n  address = {Vancouver, BC, Canada},\n  url_paper = {https://ssanner.github.io/papers/recsys18_aesthetic.pdf}\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_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        (2)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"wu-say-sanner-scalableplanningwithtensorflowforhybridnonlineardomains-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://ssanner.github.io/papers/nips17_tfplan.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'wu-say-sanner-scalableplanningwithtensorflowforhybridnonlineardomains-2017', 'https://ssanner.github.io/papers/nips17_tfplan.pdf', event);\">\n    Scalable Planning with Tensorflow for Hybrid Nonlinear Domains.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://web.cs.dal.ca/~gaw/publications/\">Wu, G.</a>; <a class=\"bibbase author link\" href=\"https://saybuser.github.io/publications\">Say, B.</a>;  and <a class=\"bibbase author link\" href=\"https://d3m.mie.utoronto.ca/publications/\">Sanner, S.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 31st Annual Conference on Advances in Neural Information Processing Systems (NIPS-17)</i>, Long Beach, CA,  2017. \n  <span class=\"note\"><font color=\"#778899\"> (20.9% acceptance rate)</font></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://ssanner.github.io/papers/nips17_tfplan.pdf\"\n     onclick=\"log_download('wu-say-sanner-scalableplanningwithtensorflowforhybridnonlineardomains-2017', 'https://ssanner.github.io/papers/nips17_tfplan.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Scalable Planning with Tensorflow for Hybrid Nonlinear Domains [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/wu-say-sanner-scalableplanningwithtensorflowforhybridnonlineardomains-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>31 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('wu-say-sanner-scalableplanningwithtensorflowforhybridnonlineardomains-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{Wu:nips17,\n  author = {Ga Wu and Buser Say and Scott Sanner},\n  year = {2017},\n  title = {Scalable Planning with Tensorflow for Hybrid Nonlinear Domains},\n  booktitle = {Proceedings of the 31st Annual Conference on Advances in Neural Information Processing Systems ({NIPS-17})},\n  address = {Long Beach, CA},\n  url_paper = {https://ssanner.github.io/papers/nips17_tfplan.pdf},\n  note = {&lt;font color=&quot;#778899&quot;&gt; (20.9\\% acceptance rate)&lt;/font&gt;}\n}  \n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"say-wu-zhou-sanner-nonlinearhybridplanningwithdeepnetlearnedtransitionmodelsandmixedintegerlinearprogramming-2017\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://ssanner.github.io/papers/ijcai17_hdmilp.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'say-wu-zhou-sanner-nonlinearhybridplanningwithdeepnetlearnedtransitionmodelsandmixedintegerlinearprogramming-2017', 'https://ssanner.github.io/papers/ijcai17_hdmilp.pdf', event);\">\n    Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://saybuser.github.io/publications\">Say, B.</a>; <a class=\"bibbase author link\" href=\"https://web.cs.dal.ca/~gaw/publications/\">Wu, G.</a>; Zhou, Y. I.;  and <a class=\"bibbase author link\" href=\"https://d3m.mie.utoronto.ca/publications/\">Sanner, S.</a>\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI-17)</i>, Melbourne, Australia,  2017. \n  <span class=\"note\"><font color=\"#778899\"> (24.6% acceptance rate)</font></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://ssanner.github.io/papers/ijcai17_hdmilp.pdf\"\n     onclick=\"log_download('say-wu-zhou-sanner-nonlinearhybridplanningwithdeepnetlearnedtransitionmodelsandmixedintegerlinearprogramming-2017', 'https://ssanner.github.io/papers/ijcai17_hdmilp.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming [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/say-wu-zhou-sanner-nonlinearhybridplanningwithdeepnetlearnedtransitionmodelsandmixedintegerlinearprogramming-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>16 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('say-wu-zhou-sanner-nonlinearhybridplanningwithdeepnetlearnedtransitionmodelsandmixedintegerlinearprogramming-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{Wu:ijcai17,\n  author = {Buser Say and Ga Wu and Yuqing Ivan Zhou and Scott Sanner},\n  year = {2017},\n  title = {Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming},\n  booktitle = {Proceedings of the 26th International Joint Conference on Artificial Intelligence ({IJCAI-17})},\n  address = {Melbourne, Australia},\n  url_paper = {https://ssanner.github.io/papers/ijcai17_hdmilp.pdf},\n  note = {&lt;font color=&quot;#778899&quot;&gt; (24.6\\% acceptance rate)&lt;/font&gt;}\n}  \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_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        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"wu-sanner-oliveira-bayesianmodelaveragingnaivebayesaveragingoveranexponentialnumberoffeaturemodelsinlineartime-2015\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://users.rsise.anu.edu.au/~ssanner/Papers/aaai15_bmanb.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'wu-sanner-oliveira-bayesianmodelaveragingnaivebayesaveragingoveranexponentialnumberoffeaturemodelsinlineartime-2015', 'http://users.rsise.anu.edu.au/~ssanner/Papers/aaai15_bmanb.pdf', event);\">\n    Bayesian Model Averaging Naive Bayes: Averaging over an Exponential Number of Feature Models in Linear Time.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://web.cs.dal.ca/~gaw/publications/\">Wu, G.</a>; <a class=\"bibbase author link\" href=\"https://d3m.mie.utoronto.ca/publications/\">Sanner, S.</a>;  and Oliveira, R. F.\n</span>\n\n  \n\n</span>\n\n  In <i>Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI-15)</i>, Austin, USA,  2015. \n  <span class=\"note\"><font color=\"#778899\">Oral presentation (26.7% acceptance rate)</font></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://users.rsise.anu.edu.au/~ssanner/Papers/aaai15_bmanb.pdf\"\n     onclick=\"log_download('wu-sanner-oliveira-bayesianmodelaveragingnaivebayesaveragingoveranexponentialnumberoffeaturemodelsinlineartime-2015', 'http://users.rsise.anu.edu.au/~ssanner/Papers/aaai15_bmanb.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Bayesian Model Averaging Naive Bayes: Averaging over an Exponential Number of Feature Models in Linear Time [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/wu-sanner-oliveira-bayesianmodelaveragingnaivebayesaveragingoveranexponentialnumberoffeaturemodelsinlineartime-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  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>22 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('wu-sanner-oliveira-bayesianmodelaveragingnaivebayesaveragingoveranexponentialnumberoffeaturemodelsinlineartime-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{Wu:aaai15d,\n  author = {Ga Wu and Scott Sanner and Rodrigo F.S.C. Oliveira},\n  title = {Bayesian Model Averaging Naive {Bayes}: Averaging over an Exponential Number of Feature Models in Linear Time},\n  year = {2015},\n  booktitle = {Proceedings of the 29th {AAAI} Conference on Artificial Intelligence ({AAAI-15})},\n  address = {Austin, USA},\n  url_paper = {http://users.rsise.anu.edu.au/~ssanner/Papers/aaai15_bmanb.pdf},\n  note = {&lt;font color=&quot;#778899&quot;&gt;Oral presentation (26.7\\% acceptance rate)&lt;/font&gt;}\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);