@inproceedings{sanner:emnlp26,
    title = "{ReBOL}: Retrieval via Bayesian Optimization with Batched LLM Relevance Observations and Query Reformulation",
    author = "Anton Korikov and Scott Sanner",
    booktitle = "Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing ({EMNLP}-26)",
    month = oct,
    year = "2026",
    address = "Budapest, Hungary",
    publisher = "Association for Computational Linguistics",
    url_paper = {https://ssanner.github.io/papers/emnlp26_rebol.pdf}
}

@inproceedings{sanner:sigir26,
	title = {CommonWhy: A Dataset for Evaluating Entity-Based Causal Commonsense Reasoning in Large Language Models},
	author = {Armin Toroghi and Faeze Moradi Kalarde and Scott Sanner},
	booktitle = {Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval ({SIGIR}-26)},
	address = {Melbourne, Australia},
	year = {2026},
	url_paper = {https://ssanner.github.io/papers/sigir26_commonwhy.pdf},
	url_github = {https://github.com/faezemoradik/CommonWhyDataset}
}

@inproceedings{sanner:umap26,
  author = {David Guo and Minqi Sun and Yilun Jiang and Jiazhou Liang and Scott Sanner},
  title = {VOGUE: A Multimodal Dataset for Conversational Recommendation in Fashion},
  year = {2026},
  booktitle = {Proceedings of the the 34th ACM Conference on User Modeling, Adaptation and Personalization ({UMAP-26})},
  address = {Gothenburg, Sweden},
  url_paper = {https://ssanner.github.io/papers/umap26_vogue.pdf},
  url_github = {https://github.com/D3Mlab/vogue}
}

@inproceedings{sanner:iclr26a,
	    title = {Structure-Aware Graph Hypernetworks for Neural Program Synthesis},
	    author = {Wenhao Li and Yudong Xu and Elias Boutros Khalil and Scott Sanner},
	    booktitle = {Proceedings of the International Conference on Learning Representations ({ICLR}-26)},
	    address = {Rio de Janeiro, Brazil},
	    year = {2026},
		url_paper = {https://openreview.net/forum?id=x7zOzUwtR7},
	    url_url = {https://iclr.cc/virtual/2026/poster/10006668}
}

@inproceedings{sanner:iclr26b,
	    title = {Improving Set Function Approximation with Quasi-Arithmetic Neural Networks},
	    author = {Tomas Tokar and Scott Sanner},
	    booktitle = {Proceedings of the International Conference on Learning Representations ({ICLR}-26)},
	    address = {Rio de Janeiro, Brazil},
	    year = {2026},
        url_paper = {https://ssanner.github.io/papers/iclr26_quann.pdf},
	    url_arxiv = {https://www.arxiv.org/abs/2602.04941},
	    url_url = {https://iclr.cc/virtual/2026/poster/10010201}
}

@inproceedings{sanner:iclr26c,
	    title = {Natural Language PDDL ({NL-PDDL}) for Open-world Goal-oriented Commonsense Regression Planning in Embodied AI},
	    author = {Xiaotian Liu and Armin Toroghi and Jiazhou Liang and David Courtis and Ruiwen Li and Ali Pesaranghader and Jaehong Kim and Tanmana Sadhu and Hyejeong Jeon and Scott Sanner},
	    booktitle = {Proceedings of the International Conference on Learning Representations ({ICLR}-26)},
	    address = {Rio de Janeiro, Brazil},
	    year = {2026},
		url_paper = {https://openreview.net/forum?id=kWCNhRdcDI},
	    url_url = {https://iclr.cc/virtual/2026/poster/10007784}
}

@inproceedings{sanner:acl26d,
      title={Semantic XPath: Structured Agentic Memory Access for Conversational AI}, 
      author={Yifan Simon Liu and Ruifan Wu and Liam Gallagher and Jiazhou Liang and Armin Toroghi and Scott Sanner},
      booktitle = {Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics: Systems Demonstrations ({ACL}-26)},
      address = {San Diego, USA},
      publisher = {Association for Computational Linguistics},
      year={2026},
      url_paper={https://ssanner.github.io/papers/acl26_semxpath.pdf}, 
      url_demo={https://semanticxpathchat.com/}
}

@inproceedings{sanner:acl26a,
      title={Evaluating Scene-based In-Situ Item Labeling for Immersive Conversational Recommendation}, 
      author={Jiazhou Liang and Yifan Simon Liu and David Guo and Minqi Sun and Yilun Jiang and Scott Sanner},
      booktitle = {Findings of the 64th Annual Meeting of the Association for Computational Linguistics ({ACL}-26)},
      address = {San Diego, USA},
      publisher = {Association for Computational Linguistics},
      year={2026},
      url_paper={https://ssanner.github.io/papers/acl26_scenexr.pdf}, 
}

@inproceedings{sanner:acl26b,
      title={Bayesian Active Learning with Gaussian Processes Guided by LLM Relevance Scoring for Dense Passage Retrieval}, 
      author={Junyoung Kim and Anton Korikov and Jiazhou Liang and Justin Cui and Yifan Simon Liu and Qianfeng Wen and Mark Zhao and Scott Sanner},
      booktitle = {Findings of the 64th Annual Meeting of the Association for Computational Linguistics ({ACL}-26)},
      address = {San Diego, USA},
      publisher = {Association for Computational Linguistics},
      year={2026},
      url_paper={https://ssanner.github.io/papers/acl26_bagel.pdf}, 
}

@inproceedings{sanner:acl26c,
      title={Multimodal Item Scoring for Natural Language Recommendation via Gaussian Process Regression with LLM Relevance Judgments}, 
      author={Yifan Simon Liu and Qianfeng Wen and Jiazhou Liang and Mark Zhao and Justin Cui and Anton Korikov and Armin Toroghi and Junyoung Kim and Scott Sanner},
      booktitle = {Findings of the 64th Annual Meeting of the Association for Computational Linguistics ({ACL}-26)},
      address = {San Diego, USA},
      publisher = {Association for Computational Linguistics},
      year={2026},
      url_paper={https://ssanner.github.io/papers/acl26_gpllmrec.pdf}, 
}

@inproceedings{sanner:cpaior26,
  title = {Large Neighborhood Search meets Iterative Neural Constraint Heuristics},
  author = {Yudong Xu and Wenhao Li and Scott Sanner and Elias Boutros Khalil},
  booktitle = {Proceedings of the 23rd International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR-26)}, 
  address = {Rabat, Morocco},
  year = {2026},
  url_paper = {https://ssanner.github.io/papers/cpaior26_neurallns.pdf}
}

@inproceedings{sanner:aaai26a,
	author = {Tomas Tokar and Scott Sanner},
	title = {Efficient Modality Translation via Arbitrary Conditioning and Wasserstein Regularization},
	year = {2026},
	booktitle = {Proceedings of the 40th {AAAI} Conference on Artificial Intelligence ({AAAI-26})},
	address = {Singapore},
	url_paper = {https://ssanner.github.io/papers/aaai26_macwae.pdf}
}

@inproceedings{sanner:aaai26b,
	author = {Jiazhou Liang and Hassan Khurram and Scott Sanner},
	title = {Near-optimal Linear Predictive Clustering in Non-separable Spaces via MIP and QPBO Reductions},
	year = {2026},
	booktitle = {Proceedings of the 40th {AAAI} Conference on Artificial Intelligence ({AAAI-26})},
	address = {Singapore},
	url_paper = {https://ssanner.github.io/papers/aaai26_optlpc.pdf}
}

@article{sanner:jmir26,
  title = {Retrieval-Augmented Generation for Medical Question Answering on a Heart Failure Dataset: Performance Analysis},
  author = {Shiran Zhang and Evelyn Phan and Pedro Elkind Velmovitsky and Quynh Pham and Scott Sanner},
  journal = {JMIR Formative Research},
  year = {2026},
  month = {Feb},
  day = {26},
  volume = {10},
  pages = {e84932},
  doi = {10.2196/84932},
  url_url = {https://formative.jmir.org/2026/1/e84932},
  doi = {10.2196/84932}
}

@article{sanner:smr26,
  author = {Jiazhou Liang and Jolomi Tosanwumi and Ethan Fosse and Daniel Silver and Scott Sanner},
  title = {Mapping Social Change: A Unified Framework for Temporal Clustering},
  journal = {Sociological Methods \& Research},
  pages = {00491241251396789},
  year = {2026},
  url_url = {https://doi.org/10.1177/00491241251396789},
  doi = {10.1177/00491241251396789}
}

@inproceedings{sanner:neurips25,
	author = {Xiaotian Liu and Ali Pesaranghader and Jaehong Kim and Tanmana Sadhu and Hyejeong Jeon and Scott Sanner},
	year = {2025},
	title = {ActiveVOO: Value of Observation Guided Active Knowledge Acquisition for Open-World Embodied Lifted Regression Planning},
	booktitle = {Proceedings of the 39th Annual Conference on Advances in Neural Information Processing Systems ({NeurIPS-25})},
	address = {San Diego, USA},
	url_paper = {https://ssanner.github.io/papers/neurips25_activevoo.pdf}
}

@inproceedings{sanner:emnlp25a,
    title = "{MA}-{DPR}: Manifold-aware Distance Metrics for Dense Passage Retrieval",
    author = "Yifan Simon Liu and Qianfeng Wen and Mark Zhao and Jiazhou Liang and Scott Sanner",
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing ({EMNLP}-25)",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url_paper = {https://ssanner.github.io/papers/emnlp25_madpr.pdf}, 
    url_url = "https://aclanthology.org/2025.emnlp-main.1582/",
    pages = "31073--31091"
}

@inproceedings{sanner:emnlp25b,
    title = "Batched Self-Consistency Improves {LLM} Relevance Assessment and Ranking",
    author = "Anton Korikov and Pan Du and Scott Sanner and Navid Rekabsaz",
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing ({EMNLP}-25)",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url_paper = {https://ssanner.github.io/papers/emnlp25_batchllm.pdf}, 
    url_url = "https://aclanthology.org/2025.emnlp-main.1661/",
    pages = "32675--32691"
}

@inproceedings{sanner:icml25a,
  title = {Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction},
  author = {Yudong Xu and Wenhao Li and Scott Sanner and Elias Boutros Khalil},
  booktitle = {Proceedings of the 42nd International Conference on Machine Learning ({ICML-25})},
  address = {Vancouver, Canada},
  year = {2025},
  url_paper = {https://ssanner.github.io/papers/icml25_sstranscsp.pdf},
  url_arxiv = {https://arxiv.org/abs/2502.15794}
}

@inproceedings{sanner:icml25b,
  title = {Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens},
  author = {Jihwan Jeong and Xiaoyu Wang and Jingmin Wang and Scott Sanner and Pascal Poupart},
  booktitle = {Proceedings of the 42nd International Conference on Machine Learning ({ICML-25})},
  address = {Vancouver, Canada},
  year = {2025},
  url_paper = {https://ssanner.github.io/papers/icml25_refplan.pdf}
}

@inproceedings{sanner:acl25a,
  author       = {Xiaotian Liu and Ali Pesaranghader and Hanze Li and Punyaphat Sukcharoenchaikul and Jaehong Kim and Tanmana Sadhu and Hyejeong Jeon and Scott Sanner},
  title        = {Open-World Planning via Lifted Regression with LLM-Inferred Affordances for Embodied Agents},
  booktitle    = {Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics ({ACL}-25)},
  publisher    = {Association for Computational Linguistics},
  year         = {2025},
  url_paper = {https://ssanner.github.io/papers/acl25_llmregress.pdf}
}

@inproceedings{sanner:acl25b,
  author       = {George-Kirollos Saad and Scott Sanner},
  title        = {Q-STRUM Debate: Query-Driven Contrastive Summarization for Recommendation Comparison},
  booktitle    = {Findings of the 63rd Annual Meeting of the Association for Computational Linguistics ({ACL}-25)},
  publisher    = {Association for Computational Linguistics},
  year         = {2025},
  url_paper    = {https://ssanner.github.io/papers/acl25_qstrum.pdf},
  url_arxiv    = {https://arxiv.org/abs/2502.12921}
}

@inproceedings{sanner:iclr25,
	    title = {LLM-based Typed Hyperresolution for Commonsense Reasoning with Knowledge Bases},
	    author = {Armin Toroghi and Ali Pesaranghader and Tanmana Sadhu and Scott Sanner},
	    booktitle = {Proceedings of the International Conference on Learning Representations ({ICLR}-25)},
	    address = {Singapore},
	    year = {2025},
	    url_paper = {https://ssanner.github.io/papers/iclr25_llmth.pdf}
}

@inproceedings{sanner:cpaior25,
	title = {Bounded-Error Policy Optimization for Mixed Discrete-Continuous MDPs via Constraint Generation in Nonlinear Programming},
	author = {Michael Gimelfarb and Ayal Taitler and Scott Sanner},
	booktitle = {Proceedings of the 22nd International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR-25)}, 
	address = {Melbourne, Australia},
	year = {2025},
	url_preprint_2_col = {https://ssanner.github.io/papers/cpaior25_cgpo2col.pdf},
	url_arxiv = {https://arxiv.org/abs/2401.12243v2},
	url_github = {https://github.com/pyrddlgym-project/pyRDDLGym/tree/GurobiCompilerBranch}
}

@inproceedings{sanner:sigir25,
	title = {CoLoTa: A Dataset for Entity-based Commonsense Reasoning over Long-Tail Knowledge},
	author = {Armin Toroghi and Willis Guo and Scott Sanner},
	booktitle = {Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval ({SIGIR}-25)},
	address = {Padova, Italy},
	year = {2025},
	url_arxiv = {https://arxiv.org/abs/2504.14462},
	url_github = {https://github.com/D3Mlab/CoLoTa}
}

@inproceedings{sanner:aaai25a,
	author = {Xiaotian Liu and Jihwan Jeong and Ayal Taitler and Michael Gimelfarb and Scott Sanner},
	title = {ModelDiff: Symbolic Dynamic Programming for Model-Aware Policy Transfer in Deep Q-Learning},
	year = {2025},
	booktitle = {Proceedings of the 39th {AAAI} Conference on Artificial Intelligence ({AAAI-25})},
	address = {Philadelphia, USA},
	url_paper = {https://ssanner.github.io/papers/aaai25_modeldiff.pdf}
}

@inproceedings{sanner:aaai25b,
	author = {Tomas Tokar and Scott Sanner},
	title = {ICE-T: Interactions-aware Cross-column Contrastive Embedding for Heterogeneous Tabular Datasets},
	year = {2025},
	booktitle = {Proceedings of the 39th {AAAI} Conference on Artificial Intelligence ({AAAI-25})},
	address = {Philadelphia, USA},
	url_paper = {https://ssanner.github.io/papers/aaai25_icet.pdf},
	url_github = {https://github.com/tomastokar/ICET}
}

@inproceedings{sanner:itsc25,
	author    = {Xiaoyu Wang and Ilia Smirnov and Scott Sanner and Baher Abdulhai},
	title     = {Getting Ready for Deployment: Transformer-Enabled Robust Adaptive Traffic Signal Control},
	booktitle = {28th {IEEE} International Intelligent Transportation Systems Conference ({ITSC}-25)},
	publisher = {{IEEE}},
	address   = {Gold Coast, Australia},
	year      = {2025},
    url_paper = {https://ssanner.github.io/papers/itsc25_emarlintrans.pdf}
}

@article{sanner:tmlr25,
	title = {Tackling the Abstraction and Reasoning Corpus with Vision Transformers: the Importance of 2D Representation, Positions, and Objects},
	author = {Wenhao Li and Yudong Xu and Elias Boutros Khalil and Scott Sanner},
	journal = {Transactions on Machine Learning Research ({TMLR})},
	issn = {2835-8856},
	year = {2025},
	month = {April},
	url_paper = {https://openreview.net/pdf?id=Al72Fp0rCg},
	url_url = {https://openreview.net/forum?id=Al72Fp0rCg}
}

@article{sanner:ojits25,
  author={Xiaocan Li and Xiaoyu Wang and Ilia Smirnov and Scott Sanner and Baher Abdulhai},
  journal={IEEE Open Journal of Intelligent Transportation Systems}, 
  title={Multi-Hop Upstream Anticipatory Traffic Signal Control With Deep Reinforcement Learning}, 
  year={2025},
  volume={6},
  pages={554-567},
  url_url={https://ieeexplore.ieee.org/document/10970747},
  doi={10.1109/OJITS.2025.3562757}
}

@article{sanner:epb25,
  author = {Jolomi Tosanwumi and Jiazhou Liang and Daniel Silver and Ethan Fosse and Scott Sanner},
  title = {tscluster: A {Python} package for the optimal temporal clustering framework},
  journal = {Environment and Planning B},
  volume = {52},
  number = {4},
  pages = {1014-1024},
  year = {2025},
  url_url = {https://journals.sagepub.com/doi/full/10.1177/23998083241293833},
  url_github = {https://github.com/tscluster-project/tscluster},
  url_doc = {https://tscluster.readthedocs.io/en/latest/index.html},
  doi = {10.1177/23998083241293833}
}

@inproceedings{sanner:emnlp24a,
  title = {Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering},
  author = {Armin Toroghi and Willis Guo and Mohammad Mahdi Abdollah Pour and Scott Sanner},
  booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing ({EMNLP-24})},
  year = {2024},
  address = {Miami, USA}, 
  publisher = {Association for Computational Linguistics},
  url_paper = {https://ssanner.github.io/papers/emnlp24_r3.pdf},
  url_arxiv = {https://arxiv.org/abs/2403.01390}
}

@inproceedings{sanner:emnlp24b,
  title={Verifiable, Debuggable, and Repairable Commonsense Logical Reasoning via {LLM}-based Theory Resolution},
  author={Armin Toroghi and Willis Guo and Ali Pesaranghader and Scott Sanner},
  booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing ({EMNLP-24})},
  year = {2024},
  address = {Miami, USA}, 
  publisher = {Association for Computational Linguistics},
  url_paper = {https://ssanner.github.io/papers/emnlp24_llmtres.pdf}
}

@inproceedings{sanner:recsys24,
  title = {Bayesian Optimization with LLM-Based Acquisition Functions for Natural Language Preference Elicitation},
  author = {David Eric Austin and Anton Korikov and Armin Toroghi and Scott Sanner},
  year = {2024},
  booktitle = {Proceedings of 18th {ACM} Conference on Recommender Systems ({RecSys-24})},
  address = {Bari, Italy},
  url_paper = {https://ssanner.github.io/papers/recsys24_pebol.pdf},
  url_arxiv = {https://arxiv.org/abs/2405.00981} 
}

@inproceedings{sanner:kdd24,
  author       = {Yashar Deldjoo and
                  Zhankui He and
                  Julian J. McAuley and
                  Anton Korikov and
                  Scott Sanner and
                  Arnau Ramisa and
                  Ren{\'{e}} Vidal and
                  Maheswaran Sathiamoorthy and
                  Atoosa Kasirzadeh and
                  Silvia Milano},
  title        = {A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)},
  booktitle    = {Proceedings of the 30th {ACM} {SIGKDD} Conference on Knowledge Discovery
                  and Data Mining ({KDD-24})},
  address      = {Barcelona, Spain},
  year         = {2024},
  url_paper = {https://ssanner.github.io/papers/kdd24_genairec.pdf},
  url_arxiv = {https://arxiv.org/abs/2404.00579}
}

@inproceedings{sanner:sigir24,
	title = {Retrieval-Augmented Conversational Recommendation with Prompt-based Semi-Structured Natural Language State Tracking},
	author = {Justin Cui and Kai Dicarlantonio and Sara Kemper and Kathy Lin and Danjie Tang and Anton Korikov and Scott Sanner},
	booktitle = {Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval ({SIGIR}-24)},
	address = {Washington D.C., USA},
	year = {2024},
	url_paper = {https://ssanner.github.io/papers/sigir24_llmrec.pdf},
	url_github = {https://github.com/D3Mlab/llm-convrec}
}

@inproceedings{sanner:icaps24,
	author = {Michael Gimelfarb and Ayal Taitler and Scott Sanner},
	title = {{JaxPlan} and {GurobiPlan}: Optimization Baselines for Replanning in Discrete and Mixed Discrete-Continuous Probabilistic Domains},
	booktitle = {Proceedings of the 34th Conference on Automated Planning and Scheduling ({ICAPS-24})},
	address = {Banff, Canada},
	year = {2024},
 	url_paper = {https://ssanner.github.io/papers/icaps24_jaxplan.pdf},
	url_github = {https://github.com/mike-gimelfarb/ICAPS2024Exp}
}

@inproceedings{sanner:aaai24,
	author = {Armin Toroghi and Scott Sanner},
	title = {Bayesian Inference with Complex Knowledge Graph Evidence},
	year = {2024},
	booktitle = {Proceedings of the 38th {AAAI} Conference on Artificial Intelligence ({AAAI-24})},
	address = {Vancouver, Canada},
	url_paper = {https://ssanner.github.io/papers/aaai24_bikg.pdf},
	url_github = {https://github.com/atoroghi/BIKG}
}

@inproceedings{sanner:naacl24,
    title = {Gaussian Process Optimization for Adaptable Multi-Objective Text Generation using Linearly-Weighted Language Models},
    author = {Mohammad Mahdi Abdollah Pour and Ali Pesaranghader and Eldan Cohen and Scott Sanner},
    booktitle = {Findings of the North American Chapter of the Association for Computational Linguistics ({NAACL-24})},
    month = {Jun},
    year = {2024},
    address = {Mexico City, Mexico},
    publisher = {Association for Computational Linguistics},
    url_paper = {https://ssanner.github.io/papers/naacl24_gpllm.pdf}
}

@article{sanner:tweb24,
  author = {Arpit Rana and Scott Sanner and Mohamed Reda Bouadjenek and Ron Dicarlantonio and Gary Farmaner},
  title = {User Experience and The Role of Personalization in Critiquing-Based Conversational Recommendation},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  year = {2024},
  month = {Nov},
  volume = {18},
  number = {4},
  pages = {43:1--43:21},
  issn = {1559-1131},  
  url_url = {https://doi.org/10.1145/3597499},
  url_paper = {https://rbouadjenek.github.io/papers/TWEB-22-0072.pdf},
  doi = {10.1145/3597499},
  journal = {ACM Transactions on the Web (TWeb)}
}

@article{sanner:transits24,
  author = {Xiaoyu Wang and Ayal Taitler and Ilia Smirnov and Scott Sanner and Baher Abdulhai},
  title = {eMARLIN+: Addressing Partial Observability to Promote Traffic Signal Coordination by Leveraging Historical Information},
  year = {2024},
  issue_date = {Dec. 2024},
  publisher = {IEEE Press},
  volume = {25},
  number = {12},
  issn = {1524-9050},
  journal = {Trans. Intell. Transport. Sys.},
  month = dec,
  pages = {21380–21392},
  numpages = {13},
  url_url = {https://ieeexplore.ieee.org/document/10700669},
  doi = {10.1109/TITS.2024.3462951}
}

@article{sanner:trr24,
  author = {Xiaoyu Wang and Ayal Taitler and Ilia Smirnov and Scott Sanner and Baher Abdulhai},
  title ={eMARLIN: Distributed Coordinated Adaptive Traffic Signal Control with Topology-Embedding Propagation},
  journal = {Transportation Research Record},
  volume = {2678},
  number = {4},
  pages = {189-202},
  year = {2024},
  url_url = {https://journals.sagepub.com/doi/full/10.1177/03611981231184250},
  doi = {10.1177/03611981231184250}
}

@article{sanner:dami24, 
  author = {Yi Sui and Alex Kwan and Alexander W. Olson and Scott Sanner and Daniel A. Silver},
  title = {Bayesian Network Motifs for Reasoning over Heterogeneous Unlinked Datasets},
  journal = {Data Mining and Knowledge Discovery ({DAMI})},
  year = {2024},
  volume = {38}, 
  pages = {3643–3689},
  month = {August},
  publisher = {Springer},
  doi = {https://doi.org/10.1007/s10618-024-01054-7},
  url_paper = {https://ssanner.github.io/papers/dami24_baymotif.pdf},
  url_github = {https://github.com/D3Mlab/ppandas}
}

@article{sanner:tmlr24,
	title = {{LLM}s and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations},
	author = {Yudong Xu and Wenhao Li and Pashootan Vaezipoor and Scott Sanner and Elias Boutros Khalil},
	journal = {Transactions on Machine Learning Research ({TMLR})},
	issn = {2835-8856},
	year = {2024},
	month = {Feb},
	url_paper = {https://ssanner.github.io/papers/tmlr24_llmarc.pdf},
	url_url = {https://openreview.net/forum?id=E8m8oySvPJ}
}

@article{sanner:aimag24,
  author = {Taitler, Ayal and Alford, Ron and Espasa, Joan and Behnke, Gregor and Fišer, Daniel and Gimelfarb, Michael and Pommerening, Florian and Sanner, Scott and Scala, Enrico and Schreiber, Dominik and Segovia-Aguas, Javier and Seipp, Jendrik},
  title = {The 2023 International Planning Competition},
  journal = {AI Magazine},
  volume = {45},
  number = {2},
  pages = {280-296},
  year = {2024},
  url_paper = {https://ssanner.github.io/papers/aimag24_ippc.pdf},
  url_url = {https://onlinelibrary.wiley.com/doi/full/10.1002/aaai.12169}
}

@inproceedings{sanner:emnlp23,
  title = {{COUNT}: COntrastive UNlikelihood Text Style Transfer for Text Detoxification},
  author = {Mohammad Mahdi Abdollah Pour and Parsa Farinneya and Manasa Bharadwaj and Nikhil Verma and Ali Pesaranghader and Scott Sanner},
  booktitle = {Findings of the 2023 Conference on Empirical Methods in Natural Language Processing ({EMNLP-23})},
  year = {2023},
  address = {Singapore}, 
  publisher = {Association for Computational Linguistics},
  url_paper = {https://ssanner.github.io/papers/emnlp23_count.pdf},
  url_github = {https://github.com/D3Mlab/count-style-transfer}
}

@inproceedings{sanner:recsys23,
  title = {Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences},
  author = {Scott Sanner and Krisztian Balog and Filip Radlinski and Ben Wedin and Lucas Dixon},
  year = {2023},
  booktitle = {Proceedings of 17th {ACM} Conference on Recommender Systems ({RecSys}-23)},
  address = {Singapore},
  url_paper = {https://ssanner.github.io/papers/recsys23_llmrec.pdf},
  url_arxiv = {https://arxiv.org/abs/2307.14225} 
}

@inproceedings{sanner:iclr23,
	    title = {Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization},
	    author = {Jihwan Jeong and Xiaoyu Wang and Michael Gimelfarb and Hyunwoo Kim and Baher Abdulhai and Scott Sanner},
	    booktitle = {Proceedings of the International Conference on Learning Representations ({ICLR}-23)},
	    address = {Kigali, Rwanda},
	    year = {2023},
	    url_paper = {https://ssanner.github.io/papers/iclr23_cbop.pdf},
	    url_github = {https://github.com/jihwan-jeong/CBOP}
}

@inproceedings{sanner:icaps23,
	author = {Siow Meng Low and Akshat Kumar and Scott Sanner},
	title = {Safe {MDP} Planning by Learning Temporal Patterns of Undesirable Trajectories and Averting Negative Side Effects},
	booktitle = {Proceedings of the 33rd Conference on Automated Planning and Scheduling ({ICAPS-23})},
	address = {Prague, Czech Republic},
	year = {2023},
 	url_paper = {https://ssanner.github.io/papers/icaps23_tempnse.pdf}
}

@inproceedings{sanner:sigir23a,
	title = {Recipe-MPR: A Test Collection for Evaluating Multi-aspect Preference-based Natural Language Retrieval},
	author = {Haochen Zhang and Anton Korikov and Parsa Farinneya and Mohammad Mahdi Abdollah Pour and Manasa Bharadwaj and Ali Pesaranghader and Xi Yu Huang and Yi Xin Lok and Zhaoqi Wang and Nathan Jones and Scott Sanner},
	booktitle = {Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval ({SIGIR}-23)},
	address = {Taipei, Taiwan},
	year = {2023},
	url_paper = {https://ssanner.github.io/papers/sigir23_recipempr.pdf},
	url_github = {https://github.com/D3Mlab/Recipe-MPR}
}

@inproceedings{sanner:sigir23b,
	title = {Bayesian Knowledge-driven Critiquing with Indirect Evidence},
	author = {Armin Toroghi and Griffin Floto and Zhenwei Tang and Scott Sanner},
	booktitle = {Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval ({SIGIR}-23)},
	address = {Taipei, Taiwan},
	year = {2023},
	url_paper = {https://ssanner.github.io/papers/sigir23_bcie.pdf},
	url_github = {https://github.com/atoroghi/BCIE}
}

@inproceedings{sanner:ecir23,
	author    = {Mohammad Mahdi Abdollah Pour and Parsa Farinneya and Armin Toroghi and Anton Korikov and Ali Pesaranghader and Touqir Sajed and Manasa Bharadwaj and Borislav Mavrin and Scott Sanner},
	title     = {Self-Supervised Contrastive BERT Fine-tuning for Fusion-based Reviewed-Item Retrieval},
	booktitle = {Proceedings of the 45th European Conference on {IR} Research ({ECIR-23})},
	address   = {Dublin, Ireland},
	year      = {2023},
	url_paper = {https://ssanner.github.io/papers/ecir23_rir.pdf},
	url_github = {https://github.com/D3Mlab/rir},
	url_data = {https://github.com/D3Mlab/rir_data}
}

@inproceedings{sanner:acl23,
  author       = {Griffin Floto and
                  Mohammad Mahdi Abdollah Pour and
                  Parsa Farinneya and
                  Zhenwei Tang and
                  Ali Pesaranghader and
                  Manasa Bharadwaj and
                  Scott Sanner},
  title        = {DiffuDetox: {A} Mixed Diffusion Model for Text Detoxification},
  booktitle    = {Findings of the Association for Computational Linguistics: {ACL}-23},
  pages        = {7566--7574},
  publisher    = {Association for Computational Linguistics},
  year         = {2023},
  url_url      = {https://aclanthology.org/2023.findings-acl.478},
  url_paper    = {https://aclanthology.org/2023.findings-acl.478.pdf}
}

@inproceedings{sanner:aaai23a,
	author = {Yudong Xu and Elias B. Khalil and Scott Sanner},
	title = {Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus},
	year = {2023},
	booktitle = {Proceedings of the 37th {AAAI} Conference on Artificial Intelligence ({AAAI-23})},
	address = {Washington D.C., USA},
	url_paper = {https://ssanner.github.io/papers/aaai23_arga.pdf},
	url_github = {https://github.com/khalil-research/ARGA-AAAI23}
}

@inproceedings{sanner:aaai23b,
	author = {Aravinth Chembu and Scott Sanner and Hassan Khurram and Akshat Kumar},
	title = {Scalable and Globally Optimal Generalized L1 k-center Clustering via Constraint Generation in Mixed Integer Linear Programming},
	year = {2023},
	booktitle = {Proceedings of the 37th {AAAI} Conference on Artificial Intelligence ({AAAI-23})},
	address = {Washington D.C., USA},
	url_paper = {https://ssanner.github.io/papers/aaai23_kcenters.pdf},
	url_github = {https://github.com/Aravinthck/Optimal-KCenters}
}

@inproceedings{sanner:cpaior23a,
	title = {Scalable and Near-Optimal Epsilon-tube Clusterwise Regression},
	author = {Aravinth Chembu and Scott Sanner and Elias Khalil},
	booktitle = {Proceedings of the 20th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR-23)}, 
	address = {Nice, France},
	year = {2023},
	url_paper = {https://ssanner.github.io/papers/cpaior23_etcr.pdf},
	url_github = {https://github.com/Aravinthck/CLR-epsTube}
}

@inproceedings{sanner:cpaior23b,
	title = {A Mixed-Integer Linear Programming Reduction of Disjoint Bilinear Programs via Symbolic Variable Elimination}, 
	author = {Jihwan Jeong and Scott Sanner and Akshat Kumar},
	booktitle = {Proceedings of the 20th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR-23)}, 
	address = {Nice, France},
	year = {2023},
	url_paper = {https://ssanner.github.io/papers/cpaior23_dblpsve.pdf},
	url_github = {https://github.com/jihwan-jeong/xaddpy/tree/main/examples/dblp}
}

@inproceedings{sanner:icassp23,
	title = {Towards Dialogue Modeling Beyond Text},
	author = {Tongzi Wu and Yuhao Zhou and Wang Ling and Hojin Yang and Joana Veloso and Lin Sun and Ruixin Huang and Norberto Guimaraes and Scott Sanner},
	booktitle = {Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing ({ICASSP-23})},
	address = {Rhodes, Greece},
	year = {2023},
	url_paper = {https://ssanner.github.io/papers/icassp23_beyondtext.pdf}
}

@inproceedings{sanner:itsc23,
  title={Perimeter Control Using Deep Reinforcement Learning: A Model-free Approach towards Homogeneous Flow Rate Optimization},
  author={Xiaocan Li and Ray Coden Mercurius and Ayal Taitler and Xiaoyu Wang and Mohammad Noaeen and Scott Sanner and Baher Abdulhai},
  booktitle={2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)},
  pages={1474--1479},
  year={2023},
  organization={IEEE},
  url_arxiv = {https://arxiv.org/abs/2305.19291}
}

@article{sanner:ipm23,
	author = {Tianshu Shen and Jiaru Li and Mohamed Reda Bouadjenek and Zheda Mai and Scott Sanner},
	title = {Towards Understanding and Mitigating Unintended Biases in Language Model-driven Conversational Recommendation},
	journal = {Information Processing & Management},
	volume = {60},
	number = {1},
	pages = {103139},
	year = {2023},
	url_url = {https://www.sciencedirect.com/science/article/pii/S0306457322002400},
	url_paper = {https://rbouadjenek.github.io/papers/IPM-D-22-00928.pdf},
        url_blog = {https://tinabbb.github.io/posts/lmrec_unintended_bias/index.html},
	url_github = {https://github.com/TinaBBB/Unintended-Bias-LMRec}
}

@article{sanner:tweb23,
	author = {Mohamed Reda Bouadjenek and Scott Sanner and Ga Wu},
	title = {A User-Centric Analysis of Social Media for Stock Market Prediction},
	year = {2023},
	publisher = {Association for Computing Machinery},
	address = {New York, NY, USA},
	journal = {ACM Transactions on the Web},
	volume = {17},
	issue = {2},
	pages = {1--22},
	month = {Mar},
	url_url = {https://dl.acm.org/doi/10.1145/3532856},
	url_preprint = {https://ssanner.github.io/papers/tweb22_userstockpred.pdf}
}

@article{sanner:jvcir23,
	author = {Li, Ruiwen and Mai, Zheda and Zhang, Zhibo and Jang, Jongseong and Sanner, Scott},
	title = {TransCAM: Transformer Attention-Based CAM Refinement for Weakly Supervised Semantic Segmentation},
	year = {2023},
	publisher = {Academic Press, Inc.},
	address = {USA},
	volume = {92},
	number = {C},
	pages = {103800},
	journal = {Journal of Visual Communication and Image Representation},
	month = {Apr},
	url_url = {https://www.sciencedirect.com/science/article/abs/pii/S1047320323000500},
	url_preprint = {https://arxiv.org/pdf/2203.07239.pdf},
	url_github = {https://github.com/liruiwen/TransCAM}
}

@incollection{sanner:handbook23a,
  author       = {Ta Jiun Ting and Scott Sanner and Baher Abdulhai}, 
  title        = {A Comparative Evaluation of Established and Contemporary Deep Learning Traffic Prediction Methods},
  booktitle    = {Handbook on Artificial Intelligence and Transport},
  publisher    = {Edward Elgar Publishing},
  year         = {2023},
  editor       = {Hussein Dia},
  chapter      = {1},
  pages        = {14--46},
  url_url      = {https://www.e-elgar.com/shop/usd/handbook-on-artificial-intelligence-and-transport-9781803929538.html}
}

@incollection{sanner:handbook23b,
  author       = {Xiaoyu Wang and Baher Abdulhai and Scott Sanner}, 
  title        = {A Critical Review of Traffic Signal Control and a Novel Unified View of Reinforcement Learning and Model Predictive Control Approaches for Adaptive Traffic Signal Control},
  booktitle    = {Handbook on Artificial Intelligence and Transport},
  publisher    = {Edward Elgar Publishing},
  year         = {2023},
  editor       = {Hussein Dia},
  chapter      = {17},
  pages        = {482--532},
  url_url      = {https://www.e-elgar.com/shop/usd/handbook-on-artificial-intelligence-and-transport-9781803929538.html}
}

@inproceedings{sanner:neurips22,
	author = {Mathieu Tuli and Andrew Li and Pashootan Vaezipoor and Toryn Klassen and Scott Sanner and Sheila McIlraith},
	year = {2022},
	title = {Learning to Follow Instructions in Text-Based Games},
	booktitle = {Proceedings of the 36th Annual Conference on Advances in Neural Information Processing Systems ({NeurIPS-22})},
	address = {New Orleans, USA},
	url_paper = {https://ssanner.github.io/papers/neurips22_ltltextworld.pdf}
}

@inproceedings{sanner:icml22,
	author = {Jihwan Jeong and Parth Jaggi and Andrew Butler and Scott Sanner},
	title = {An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming},
	booktitle = {Proceedings of the 39th International Conference on Machine Learning ({ICML-22})},
	address = {Baltimore, USA},
	year = {2022},
	url_paper = {https://ssanner.github.io/papers/icml22_emspo.pdf}
}

@inproceedings{sanner:sigir22,
	author = {Zhaolin Gao and Tianshu Shen and Zheda Mai and Mohamed Reda Bouadjenek and Isaac Waller and Ashton Anderson and Ron Bodkin and Scott Sanner},
	title = {Mitigating the Filter Bubble while Maintaining Relevance: Targeted Diversification with VAE-based Recommender Systems},
	booktitle = {Proceedings of the 45th International {ACM} {SIGIR} Conference on Research and Development in Information Retrieval ({SIGIR-22})},
	address   = {Madrid, Spain},
	year = {2022},
	url_paper = {https://ssanner.github.io/papers/sigir22_tdvaecf.pdf}
}

@inproceedings{sanner:www22,
	author = {Tianshu Shen and Zheda Mai and Ga Wu and Scott Sanner},
	title = {Distributional Contrastive Embedding for Clarification-based Conversational Critiquing},
	year = {2022},
	booktitle = {Proceedings of the 31st International Conference on the World Wide Web ({WWW}-22)},
	address = {Online},
	url_paper = {https://ssanner.github.io/papers/www22_dcevae.pdf}
}

@inproceedings{sanner:aaai22a,
	author = {Noah Patton and Jihwan Jeong and Michael Gimelfarb and Scott Sanner},
	title = {A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs},
	year = {2022},
	booktitle = {Proceedings of the 36th {AAAI} Conference on Artificial Intelligence ({AAAI-22})},
	address = {Online},
	url_paper = {https://ssanner.github.io/papers/aaai22_raptor.pdf}
}

@inproceedings{sanner:aaai22b,
	author = {{Siow Meng} Low and Akshat Kumar and Scott Sanner},
	title = {Sample-Efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs},
	year = {2022},
	booktitle = {Proceedings of the 36th {AAAI} Conference on Artificial Intelligence ({AAAI-22})},
	address = {Online},
	url_paper = {https://ssanner.github.io/papers/aaai22_ilbo.pdf}
}

@inproceedings{sanner:rldm22,
	author = {Michael Gimelfarb and Scott Sanner and Chi-Guhn Lee},
	title = {Distributional Reward Shaping: Point Estimates Are All You Need},
	booktitle = {Proceedings of the fifth Multi-disciplinary Conference on Reinforcement Learning and Decision Making ({RLDM-22})},
	address = {Providence, USA},
	year = {2022},
	url_paper = {https://ssanner.github.io/papers/rldm22_distrs.pdf}
}

@inproceedings{sanner:rcis22,
	author = {Riley Moher and Michael Gruninger and Scott Sanner},
	title = {What's in a (Data) Type? Meaningful Type Safety for Data Science},
	booktitle = {Proceedings of the 16th International Conference on Research Challenges in Information Science ({RCIS-22})},
	address = {Barcelona, Spain},
	year = {2022},
	url_paper = {https://ssanner.github.io/papers/rcis22_datatype.pdf}
}

@article{sanner:mlj22,
	title = {Arbitrary conditional inference in variational autoencoders via fast prior network training},
	author = {Ga Wu and Justin Domke and Scott Sanner},
	journal = {Machine Learning},
	year = {2022},
	note = {In press.},
	url_url = {https://link.springer.com/article/10.1007/s10994-022-06171-2},
	url_preprint = {https://ssanner.github.io/papers/mlj22_condinfvae.pdf}
}

@article{sanner:neurocomp22,
	author = {Zheda Mai and Ruiwen Li and Jihwan Jeong and David Quispe and Hyunwoo Kim and Scott Sanner},
	title = {Online Continual Learning in Image Classification: An Empirical Survey},
	journal   = {Neurocomputing},
	volume    = {469},
	pages     = {28--51},
	year      = {2022},
	url_url  = {https://www.sciencedirect.com/science/article/abs/pii/S0925231221014995},
	url_preprint = {https://arxiv.org/pdf/2101.10423.pdf}
}

@article{sanner:peerj22,
	title = {A Longitudinal Study of Topic Classification on Twitter},
	author = {Mohamed Reda Bouadjenek and Scott Sanner and Zahra Iman and Lexing Xie and Xiaoliang Shi},
	journal = {PeerJ Computer Science},
	year = {2022},
	note = {Accepted.},
	url_url = {https://peerj.com/articles/cs-991},
	url_preprint = {https://ssanner.github.io/papers/peerj22_longtwitter.pdf}
}

@inproceedings{sanner:neurips21a,
	author = {Michael Gimelfarb and Andre Barreto and Scott Sanner and Chi-Guhn Lee},
	year = {2021},
	title = {Risk-Aware Transfer in Reinforcement Learning using Successor Features},
	booktitle = {Proceedings of the 35th Annual Conference on Advances in Neural Information Processing Systems ({NeurIPS-21})},
	address = {Online},
	url_paper = {https://ssanner.github.io/papers/neurips21_rasf.pdf}
}

@inproceedings{sanner:neurips21b,
	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})},
	url_paper = {https://ssanner.github.io/papers/neurips21_rpslje.pdf},
	address = {Online}
}  

@inproceedings{sanner:uai21,
	author = {Michael Gimelfarb and Scott Sanner and Chi-Guhn Lee},
	title = {Contextual Policy Transfer in Reinforcement Learning Domains via Deep Mixtures-of-Experts},
	year = {2021},
	booktitle = {Proceedings of the 37th Conference on Uncertainty in Artificial Intelligence ({UAI-21})},
	url_paper = {https://ssanner.github.io/papers/uai21_contpolreuse.pdf},
	address = {Online}
}

@inproceedings{sanner:ijcai21a,
  author = {Michael Gimelfarb and Scott Sanner and Chi-Guhn Lee},
  year = {2021},
  title = {Bayesian Experience Reuse for Learning from Multiple Demonstrators},
  booktitle = {Proceedings of the 30th International Joint Conference on Artificial Intelligence ({IJCAI-21})},
  address = {Online},
  url_paper = {https://ssanner.github.io/papers/ijcai21_bers.pdf}
}

@inproceedings{sanner:ijcai21b,
  author = {Jihwan Jeong and Parth Jaggi and Scott Sanner},
  year = {2021},
  title = {Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions},
  booktitle = {Proceedings of the 30th International Joint Conference on Artificial Intelligence ({IJCAI-21})},
  address = {Online},
  url_paper = {https://ssanner.github.io/papers/ijcai21_sdplptrans.pdf}
}

@inproceedings{sanner:www21,
  author = {Shengnan Lyu and Arpit Rana and Scott Sanner and Mohamed Reda Bouadjenek},
  title = {A Workflow Analysis of Context-driven Conversational Recommendation},
  year = {2021},
  booktitle = {Proceedings of the 30th International Conference on the World Wide Web (WWW-21)},
  address = {Ljubljana, Slovenia},
  url_paper = {https://ssanner.github.io/papers/www21_convrec.pdf}
}

@inproceedings{sanner:sigir21,
  author = {Hojin Yang and Tianshu Shen and Scott Sanner},
  title = {Bayesian Critiquing with Keyphrase Activation Vectors for VAE-based Recommender Systems},
  year = {2021},
  booktitle = {Proceedings of the 44th International {ACM} {SIGIR} Conference on Research and Development in Information Retrieval {(SIGIR-21)}},
  address   = {Online},
  url_paper = {https://ssanner.github.io/papers/sigir21_tcavcrit.pdf}
}

@inproceedings{sanner: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},
  year = {2021},
  booktitle = {Proceedings of the the 29th ACM Conference on User Modeling, Adaptation and Personalization ({UMAP-21})},
  address = {Online},
  url_paper = {https://ssanner.github.io/papers/umap21_bayprefkey.pdf}
}

@inproceedings{sanner:aaai21,
  author = {Dongsub Shim and Zheda Mai and Jihwan Jeong and Scott Sanner and Hyunwoo Kim and Jongseong Jang},
  title = {Online Class-Incremental Continual Learning with Adversarial Shapley Value},
  year = {2021},
  booktitle = {Proceedings of the 35th {AAAI} Conference on Artificial Intelligence ({AAAI-21})},
  address = {Online},
  url_paper = {https://ssanner.github.io/papers/aaai21_aser.pdf}
}

@inproceedings{sanner:itsc21a,
	author    = {Ta Jiun Ting and
	Xiaocan Li and
	Scott Sanner and
	Baher Abdulhai},
	title     = {Revisiting Random Forests in a Comparative Evaluation of Graph Convolutional
	Neural Network Variants for Traffic Prediction},
	booktitle = {24th {IEEE} International Intelligent Transportation Systems Conference,
	{ITSC} 2021},
	pages     = {1259--1265},
	publisher = {{IEEE}},
	address = {Indianapolis, USA},
	year      = {2021}
}

@inproceedings{sanner:itsc21b,
	author    = {Parth Jaggi and
	Xiaoyu Wang and
	Nicolas Carrara and
	Scott Sanner and
	Baher Abdulhai},
	title     = {Microscopic Model-Based {RL} Approaches for Traffic Signal Control
	Generalize Better than Model-Free {RL} Approaches},
	booktitle = {24th {IEEE} International Intelligent Transportation Systems Conference,
	{ITSC} 2021},
	pages     = {2525--2532},
	publisher = {{IEEE}},
	address = {Indianapolis, USA},
	year      = {2021}
}

@article{sanner:enbuild21,
  author = {Brent Huchuk and Scott Sanner and William O'Brien},
  title = {Development and Evaluation of Data-driven Controls for Residential Smart Thermostats},
  journal = {Energy and Buildings},
  year = {2021},
  pages = {111201},
  url_paper = {https://ssanner.github.io/papers/eb21_ddrescontrol.pdf},
  url_url = {https://doi.org/10.1016/j.enbuild.2021.111201}
}

@article{sanner:bps21,
  author = {Brent Huchuk and Scott Sanner and William O'Brien},
  title = {Evaluation of Data-driven Thermal Models for Multi-hour Predictions using Residential Smart Thermostat Data},
  journal = {Journal of Building Performance Simulation},
  year = {2021},
  url_paper = {https://ssanner.github.io/papers/jbps21_resthermal.pdf},
  url_url = {https://doi.org/10.1080/19401493.2020.1864474}
}

@article{sanner:cities21,
  author = {Alexander W. Olson and Fernando Calderon-Figueroa and Olimpia Bidian and Daniel Silver and Scott Sanner},
  title = {Reading the City through its Neighbourhoods: Deep text embeddings of Yelp reviews as a basis for determining similarity and change},
  journal = {Cities},
  volume = {110},
  pages = {103045},
  month = {March},
  year = {2021},
  url_url = {https://www.sciencedirect.com/science/article/abs/pii/S0264275120313937}
}

@article{sanner:eir21,
	author = {Jahromi, Martiya Zare and Jahromi, Amir Abiri and Kundur, Deepa and Sanner, Scott and Kassouf, Marthe},
	title = {Data Analytics for Cybersecurity Enhancement of Transformer Protection},
	year = {2021},
	issue_date = {November 2021},
	publisher = {Association for Computing Machinery},
	address = {New York, NY, USA},
	volume = {1},
	number = {1},
	journal = {SIGENERGY Energy Inform. Rev.},
	month = {dec},
	pages = {12–19},
	numpages = {8},
	url_url = {https://energy.acm.org/eir/data-analytics-for-cybersecurity-enhancement-of-transformer-protection/}
}

@article{sanner:smartgrid21,
	author={Y. M. {Khaw} and A. A. {Jahromi} and M. F. M. {Arani} and S. {Sanner} and D. {Kundur} and M. {Kassouf}},
	title={A Deep Learning-Based Cyberattack Detection System for Transmission Protective Relays}, 
	journal={IEEE Transactions on Smart Grid}, 
	volume    = {12},
	number    = {3},
	pages     = {2554--2565},
	year={2021},
	url_url = {https://ieeexplore.ieee.org/document/9270592}
}

@inproceedings{sanner: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 Systems},
  booktitle = {Proceedings of the 14th International {ACM} Conference on Recommender Systems {(RecSys-20)}},
  address   = {Online},
  year      = {2020},
  url_paper = {https://ssanner.github.io/papers/recsys20_rankcrit.pdf}
}

@inproceedings{sanner:sigir20,
  author = {Kai Luo and Hojin Yang and Ga Wu and Scott Sanner},
  title = {Deep Critiquing for VAE-based Recommender Systems},
  year = {2020},
  booktitle = {Proceedings of the 43rd International {ACM} {SIGIR} Conference on Research and Development in Information Retrieval {(SIGIR-20)}},
  address   = {Xi'an, China},
  url_paper = {https://ssanner.github.io/papers/sigir20_cevae.pdf}
}

@inproceedings{sanner:www20,
  author = {Kai Luo and Scott Sanner and Ga Wu and Hanze Li and Hojin Yang},
  title = {Latent Linear Critiquing for Conversational Recommender Systems},
  year = {2020},
  booktitle = {Proceedings of the 29th International Conference on the World Wide Web (WWW-20)},
  address = {Taipei, Taiwan},
  url_paper = {https://ssanner.github.io/papers/www20_llc.pdf}
}

@article{sanner:aij20,
  author = {Buser Say and Scott Sanner},
  title = {Compact and Efficient Encodings for Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models},
  year = {2020},
  volume = {285},
  pages = {103291},
  month = {August},
  year = {2020},
  journal = "Artificial Intelligence Journal ({AIJ})",
  url_paper = {https://doi.org/10.1016/j.artint.2020.103291},
  url_arxiv = {https://arxiv.org/abs/1811.10433}
}

@article{sanner:jair20,
  author = {Ga Wu and Buser Say and Scott Sanner},
  title = {Scalable Planning with Deep Neural Network Learned Transition Models},
  year = {2020},
  volume = {68},
  month = {July},
  journal = {Journal of Artificial Intelligence Research (JAIR)},
  url_paper = {https://ssanner.github.io/papers/jair20_tfplan.pdf}
}

@article{sanner:iet20,
  author = {Iain Guilliard and Felipe Trevizan and Scott Sanner},
  title = {Mitigating the Impact of Light Rail on Urban Traffic Networks using Mixed Integer Linear Programming},
  journal = {IET Intelligent Transport Systems},
  year = {2020},
  volume = {14},
  number = {6}, 
  pages = {523--533},
  url_paper = {https://ssanner.github.io/papers/ietits20_lightrail.pdf}
}

@article{sanner:is20,
  author = {Mohamed Reda Bouadjenek and Scott Sanner and Yihao Du},
  title = {Relevance- and Interface-driven Clustering for Visual Information Retrieval},
  journal = {Information Systems},
  volume = {94},
  pages = {101592},
  year = {2020},
  month = {December},
  url_url = {http://www.sciencedirect.com/science/article/pii/S0306437920300752},
  url_paper = {https://rbouadjenek.github.io/papers/IS_101592.pdf},
  url_preprint = {https://ssanner.github.io/papers/is20_reldclust.pdf}
}

@article{sanner:gean20,
  author = {Olson, Alexander W. and Zhang, Kexin and Calderon-Figueroa, Fernando and Yakubov, Ronen and Sanner, Scott and Silver, Daniel and Arribas-Bel, Dani},
  title = {Classification and Regression via Integer Optimization for Neighborhood Change},
  journal = {Geographical Analysis},
  publisher = {Wiley-Blackwell},
  year = {2020},
  url_url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/gean.12252},
  url_paper = {https://ssanner.github.io/papers/gean20_crionc.pdf}
}

@article{sanner:stbe20,
  author = {Brent Huchuk and William O'Brien and Scott Sanner},
  title = {Exploring smart thermostat users' schedule override behaviors and the energy consequences},
  journal = {Science and Technology for the Built Environment},
  year  = {2020},
  publisher = {Taylor & Francis},
  url_paper = {https://ssanner.github.io/papers/stbe20_resoverride.pdf},
  url_url = {https://doi.org/10.1080/23744731.2020.1814668}
}

@article{sanner:eswa20,
  author = {Du\v{s}an Sovilj and Paul Budnarain and Scott Sanner and Geoff Salmon and Mohan Rao},
  title = {A Comparative Evaluation of Unsupervised Deep Architectures for Intrusion Detection in Sequential Data Streams},
  journal = {Expert Systems With Applications},
  publisher = {Elsevier},
  year = {2020},
  volume = {159},
  pages = {113577},
  month = {November},
  url_paper = {https://ssanner.github.io/papers/eswa20_deepanomaly.pdf}
}

@incollection{sanner:liftedinf20,
  author       = {Roni Khardon and Scott Sanner}, 
  title        = {Stochastic Planning and Lifted Inference},
  booktitle    = {An Introduction to Lifted Probabilistic Inference},
  publisher    = {MIT Press},
  year         = {2020},
  editor       = {Guy {Van den Broeck} and Kristian Kersting and Sriraam Natarajan and David Poole},
  chapter      = {16},
  address      = {Cambridge, MA},
  url_chapter  = {https://arxiv.org/abs/1701.01048},
  note         = {In press.}
}

@inproceedings{sanner:recsys19,
  author = {Ga Wu and Kai Luo and Scott Sanner and Harold Soh},
  title = {Deep Language-based Critiquing for Recommender Systems},
  year = {2019},
  booktitle = {Proceedings of the 13th {ACM} Conference on Recommender Systems ({RecSys-19})},
  address = {Copenhagen, Denmark},
  url_paper = {https://ssanner.github.io/papers/recsys19_deepcrit.pdf},
  url_appendix = {https://ssanner.github.io/papers/recsys19_deepcrit_appendix.pdf}
}

@inproceedings{sanner:cp19,
  author = {Buser Say and Scott Sanner and Sylvie Thiebaux},
  title = {Reward Potentials for Planning with Learned Neural Network Transition Models},
  year = {2019},
  booktitle = {Proceedings of the 25th International Conference on Principles and Practice of Constraint Programming ({CP-19})},
  address = {Stamford, USA},
  url_paper = {https://ssanner.github.io/papers/cp19_rewpotplan.pdf}
}

@inproceedings{sanner:uai19,
  author = {Michael Gimelfarb and Scott Sanner and Chi-Guhn Lee},
  title = {Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning},
  year = {2019},
  booktitle = {Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence ({UAI-19})},
  address = {Tel Aviv, Israel},
  url_paper = {https://ssanner.github.io/papers/uai19_epsbmc.pdf}
}

@inproceedings{sanner:aaai19,
  author = {Thiago Bueno and Leliane Nunes de Barros and Denis Maua and Scott Sanner},
  title = {Deep Reactive Policies for Planning in Stochastic Nonlinear Domains},
  year = {2019},
  booktitle = {Proceedings of the 33rd {AAAI} Conference on Artificial Intelligence ({AAAI-19})},
  address = {Honolulu, USA},
  url_paper = {https://ssanner.github.io/papers/aaai19_drp.pdf}
}

@inproceedings{sanner: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://ssanner.github.io/papers/sigir19_nceplrec.pdf}
}

@inproceedings{sanner: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://ssanner.github.io/papers/sigir19_qvae.pdf},
  url_appendix = {https://ssanner.github.io/papers/sigir19_qvae_appendix.pdf}
}

@inproceedings{sanner:cpaior19,
  author = {Buser Say and Scott Sanner},
  year = {2019},
  title = {Metric Hybrid Factored Planning in Nonlinear Domains with Constraint Generation},
  booktitle = {Proceedings of the 16th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research ({CPAIOR-19})},
  address = {Thessaloniki, Greece},
  url_paper = {https://ssanner.github.io/papers/cpaior19_scipplan.pdf}
}

@inproceedings{sanner: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://ssanner.github.io/papers/sdm19_tempreg.pdf}
}  

@article{sanner:tkde19,
  author = {Bohan Zhang and Scott Sanner and Mohamed Reda Bouadjenek and Shagun Gupta},
  title = {Bayesian Networks for Data Integration in the Absence of Foreign Keys},
  journal = {IEEE Transactions on Knowledge and Data Engineering (TKDE)},
  year = {2019},
  volume = {32},
  number = {4},
  pages = {803--808},
  url_paper = {https://ssanner.github.io/papers/tkde19_bnfusion.pdf},
  url_appendix = {https://ssanner.github.io/papers/tkde19_bnfusion_supp.pdf}
}

@article{sanner:be19,
	author = {B. Huchuk and S. Sanner and W. O'Brien},
	title = {Comparison of machine learning models for occupancy prediction in residential buildings using connected thermostat data},
	year = {2019},
	journal = {Building and Environment},
	volume = {160},
	pages = {106177},
	month = {August},
        url_paper = {https://ssanner.github.io/papers/be19_resoccpred.pdf},
	url_url = {https://www.sciencedirect.com/science/article/abs/pii/S0360132319303877}
}

@article{sanner:cjc19,
	author = {S. Gupta and D. T. Ko and P. Azizi and M. R. Bouadjenek and M. Koh and A. Chong and P. C. Austin and S. Sanner},
	title = {Evaluation of Machine Learning Algorithms for Predicting Readmission After Acute Myocardial Infarction Using Routinely Collected Clinical Data},
	journal = {Canadian Journal of Cardiology},
	publisher = {Elsevier},
	month = {June},
	year = {2019},
	volume = {36},
	issue = {6},
	pages = {878--885},
	url_paper = {http://www.sciencedirect.com/science/article/pii/S0828282X19313583}
}

@inproceedings{sanner:nips18,
  author = {Michael Gimelfarb and Scott Sanner and Chi-Guhn Lee},
  year = {2018},
  title = {Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach},
  booktitle = {Proceedings of the 32nd Annual Conference on Advances in Neural Information Processing Systems ({NeurIPS-18})},
  address = {Montreal, QC, Canada},
  url_paper = {https://ssanner.github.io/papers/nips18_bmcrs.pdf} 
}  

@inproceedings{sanner: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}
}

@inproceedings{sanner: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{sanner:umap18,
  author = {Dusan Sovilj and Scott Sanner and Harold Soh and Hanze Li},
  year = {2018},
  title = {Collaborative Filtering with Behavioral Models},
  booktitle = {Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization ({UMAP-18})},
  address = {Singapore},
  url_paper = {https://ssanner.github.io/papers/umap18_bbcf.pdf}
}

@inproceedings{sanner:cpaior18,
  author = {Zhijiang Ye and Buser Say and Scott Sanner},
  year = {2018},
  title = {Symbolic Bucket Elimination for Piecewise Continuous Constrained Optimization},
  booktitle = {Proceedings of the 15th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research ({CPAIOR-18})},
  note = {Recipient of the Best Student Paper Award.},
  address = {Delft, Netherlands},
  url_paper = {https://ssanner.github.io/papers/cpaior18_sbe.pdf}
}

@inproceedings{sanner:ijcai18a,
  author = {Buser Say and Scott Sanner},
  year = {2018},
  title = {Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models},
  booktitle = {Proceedings of the 27th International Joint Conference on Artificial Intelligence ({IJCAI-18})},
  address = {Stockholm, Sweden},
  url_paper = {https://ssanner.github.io/papers/ijcai18_bnnplan.pdf}
}

@inproceedings{sanner:ijcai18b,
  author = {Samuel Kolb and Martin Mladenov and Scott Sanner and Vaishak Belle and Kristian Kersting},
  year = {2018},
  title = {Efficient Symbolic Integration for Probabilistic Inference},
  booktitle = {Proceedings of the 27th International Joint Conference on Artificial Intelligence ({IJCAI-18})},
  address = {Stockholm, Sweden},
  url_paper = {https://ssanner.github.io/papers/ijcai18_symint.pdf}
}

@article{sanner:be18,
	author = {B. Huchuk and W. O'Brien and S. Sanner},
	title = {A Longitudinal Study of Thermostat Behaviors based on Climate, Seasonal, and Energy Price Considerations using Connected Thermostat Data},
	year = {2018},
	journal = {Building and Environment},
	volume = {139},
	month = {July},
	pages = {199--210},
        url_paper = {https://ssanner.github.io/papers/be18_reslongstudy.pdf},
        url_url = {https://www.sciencedirect.com/science/article/pii/S0360132318302634}
}

@article{sanner:hf18,
	author = {S. W. Kortschot and D. Sovilj and G. A. Jamieson and S. Sanner and C. Carrasco and H. Soh},
	title = {Measuring and Mitigating the Costs of Attentional Switches in Active Network Monitoring for Cybersecurity},
	year = {2018},
	journal = {Human Factors},
	url_paper = {http://journals.sagepub.com/doi/10.1177/0018720818784107}
}

@article{sanner:tb18,
  author = {Jason Riordon and Dusan Sovilj and Scott Sanner and David Sinton and {Edmond W.K.} Young},
  title = {Deep Learning with Microfluidics for Biotechnology},
  year = {2018},
  journal = {Trends in Biotechnology},
  url_paper = {https://doi.org/10.1016/j.tibtech.2018.08.005}
}

@inproceedings{sanner: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 ({NeurIPS-17})},
  address = {Long Beach, CA},
  url_paper = {https://ssanner.github.io/papers/nips17_tfplan.pdf}
}  

@inproceedings{sanner: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}
}  

@inproceedings{sanner:icwsm17,
  author = "Zahra Iman and Scott Sanner and Mohamed Reda Bouadjenek and Lexing Xie",
  year = "2017",
  title = "A Longitudinal Study of Topic Classification on Twitter",
  booktitle = "Proceedings of the 11th International AAAI Conference on Web and Social Media ({ICWSM-17})",
  address = {Montreal, Canada},
  url_paper = {https://ssanner.github.io/papers/icwsm17_tclass.pdf}
}

@inproceedings{sanner:icaps17,
  author = "Shamin Kinathil and Harold Soh and Scott Sanner",
  year = "2017",
  title = "Analytic Decision Analysis via Symbolic Dynamic Programming for Parameterized Hybrid MDPs",
  booktitle = "Proceedings of the 27th Conference on Automated Planning and Scheduling ({ICAPS-17})",
  address = {Pittsburgh, PA},
  url_paper = {https://ssanner.github.io/papers/icaps17_phmdp.pdf}
}

@inproceedings{sanner:www17,
  author = {Marian-Andrei Rizoiu and Lexing Xie and Scott Sanner and Manuel Cebrian and Honglin Yu and Pascal {Van Hentenryck}},
  title = {Expecting to be HIP: Hawkes Intensity Processes for Social Media Popularity},
  year = {2017},
  booktitle = {Proceedings of the 26th International Conference on the World Wide Web ({WWW-17})},
  address = {Perth, Australia},
  url_paper = {https://ssanner.github.io/papers/www17_hip.pdf}
}

@inproceedings{sanner:iui17,
  author = {Harold Soh and Scott Sanner and Madeleine White and Greg Jamieson},
  title = {Deep Sequential Recommendation for Personalized Adaptive User Interfaces},
  year = {2017},
  booktitle = {Proceedings of the 22nd {ACM} International Conference on Intelligent User Interfaces {(IUI-17)}},
  address = {Limassol, Cyprus},
  url_paper = {https://ssanner.github.io/papers/iui17_deeprec.pdf}
}

@inproceedings{sanner:aaai17a,
  author = {Aswin Raghavan and Scott Sanner and Prasad Tadepalli and Alan Fern and Roni Khardon},
  title = {Hindsight Optimization for Hybrid State and Action MDPs},
  year = {2017},
  booktitle = {Proceedings of the 31st {AAAI} Conference on Artificial Intelligence ({AAAI-17})},
  address = {San Francisco, USA},
  url_paper = {https://ssanner.github.io/papers/aaai17_hsahop.pdf}
}

@inproceedings{sanner:aaai17b,
  author = {Suvash Sedhain and Aditya Menon and Scott Sanner and Lexing Xie and Darius Braziunas},
  title = {Low-rank Linear Cold-Start Recommendation from Social Data},
  year = {2017},
  booktitle = {Proceedings of the 31st {AAAI} Conference on Artificial Intelligence ({AAAI-17})},
  address = {San Francisco, USA},
  url_paper = {https://ssanner.github.io/papers/aaai17_loco.pdf}
}

@inproceedings{sanner:socs17,
  author    = {Alberto Camacho and
               Oscar Chen and
               Scott Sanner and
               Sheila A. McIlraith},
  title     = {Non-Markovian Rewards Expressed in {LTL:} Guiding Search Via Reward Shaping},
  booktitle = {Proceedings of the Tenth International Symposium on Combinatorial Search ({SoCS-17})},
  url_paper = {http://www.cs.toronto.edu/~sheila/publications/cam-etal-socs17.pdf},
  pages     = {159--160},
  year      = {2017}
}

@inproceedings{sanner:rldm17,
  author    = {Alberto Camacho and
               Oscar Chen and
               Scott Sanner and
               Sheila A. McIlraith},
  title     = {Decision-Making with Non-Markovian Rewards: From {LTL} to automata-based reward shaping},
  booktitle = {Proceedings of the Multi-disciplinary Conference on Reinforcement Learning and Decision Making ({RLDM-17})},
  pages={279-283},
  url_paper = {http://www.cs.toronto.edu/~sheila/publications/cam-etal-rldm17.pdf},
  year      = {2017},
  note = {See also University of Toronto Technical Report CSRG-632}
}

@techreport{sanner:techreport17,
  title = {Decision-Making with Non-Markovian Rewards: Guiding search via automata-based reward shaping},
  author    = {Alberto Camacho and
               Oscar Chen and
               Scott Sanner and
               Sheila A. McIlraith},
  url_paper = {ftp://ftp.cs.toronto.edu/csrg-technical-reports/632/cam-che-san-mci-tr2017.pdf},
  year = {2017},
  month = {June},
  institution = {Department of Computer Science, University of Toronto},
  number = {CSRG-632}
}							   

@proceedings{sanner:icaps16,
  editor = {Amanda Jane Coles and Andrew Coles and Stefan Edelkamp and Daniele Magazzeni and Scott Sanner},
  title  = {Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling, {{ICAPS}} 2016, London, UK, June 12-17, 2016},
  publisher = "{AAAI} Press",
  year      = "2016"
}

@article{sanner:aij16,
  author = {K. V. Delgado and L. N. de Barros and D. B. Dias and S. Sanner},
  title = {Real-time Dynamic Programming for Markov Decision Processes with Imprecise Probabilities},
  year = {2016},
  journal = "Artificial Intelligence Journal ({AIJ})",
  volume = "230",
  pages = "192--223",
  url_paper = {http://www.sciencedirect.com/science/article/pii/S0004370215001411}
}

@article{sanner:trr16,
  author = {I. Guilliard and S. Sanner and F. Trevizan and B. Williams},
  title = {A Non-homogenous Time Mixed Integer LP Formulation for Traffic Signal Control},
  year = {2016},
  volume = {2525},
  note = {Recipient of the Kikuchi-Karlaftis Best Paper Award.},
  journal = {Transport Research Record ({TRR}): Journal of the Transport Research Board},
  url_paper = {https://ssanner.github.io/papers/anu/TRR_qtm_paper.pdf}
}

@inproceedings{sanner:ijcai16a,
  author = {S. Sedhain and H. Bui and J. Kawale and N. Vlassis and B. Kveton and A. Menon and T. Bui and S. Sanner},
  year = {2016},
  title = {Practical Linear Models for Large-Scale One-Class Collaborative Filtering},
  booktitle = {Proceedings of the 25th International Joint Conference on Artificial Intelligence ({IJCAI-16})},
  address = {New York, USA},
  url_paper = {https://ssanner.github.io/papers/anu/ijcai16_proj_lrec.pdf}
}

@inproceedings{sanner:ijcai16b,
  author = {S. Kinathil and S. Sanner and S. Das and N. Della-Penna},
  year = {2016},
  title = {A Symbolic Closed-form Solution to Sequential Market Making with Inventory},
  booktitle = {Proceedings of the 25th International Joint Conference on Artificial Intelligence ({IJCAI-16})},
  address = {New York, USA},
  url_paper = {https://ssanner.github.io/papers/anu/ijcai16_mm.pdf}
}

@inproceedings{sanner:aaai16a,
  author = {H. Afshar and S. Sanner and C. Webers},
  title = {Closed-form Gibbs Sampling for Graphical Models with Algebraic Constraints},
  year = {2016},
  booktitle = {Proceedings of the 30th {AAAI} Conference on Artificial Intelligence ({AAAI-16})},
  address = {Phoenix, USA},
  url_paper = {https://ssanner.github.io/papers/anu/aaai16_sgibbs.pdf}
}

@inproceedings{sanner:aaai16b,
  author = {S. Sedhain and A. Menon and S. Sanner and D. Braziunas},
  title = {On the Effectiveness of Linear Models for One-Class Collaborative Filtering},
  year = {2016},
  booktitle = {Proceedings of the 30th {AAAI} Conference on Artificial Intelligence ({AAAI-16})},
  address = {Phoenix, USA},
  url_paper = {https://ssanner.github.io/papers/anu/aaai16_lrec.pdf}
}

@article{sanner:aimag15,
  author     = {M. Vallati and L. Chrpa and M. Grzes and T. L. McCluskey and M. Roberts and S. Sanner},
  title      = {The 2014 International Planning Competition: Progress and Trends}, 
  journal    = {Artificial Intelligence Magazine ({AI Magazine})},
  year       = {2015},
  volume={36},
  number={3},
  pages={90--98},
  url_paper = {https://ssanner.github.io/papers/anu/aimag15_ipc.pdf}
}

@inproceedings{sanner:www15,
  author    = {S. Sedhain and A. Menon and S. Sanner and L. Xie},
  title     = {AutoRec: Autoencoders Meet Collaborative Filtering},
  booktitle = {Proceedings of the 24th International Conference on the World Wide Web {(WWW-15)}},
  address   = {Florence, Italy},
  year      = {2015},
  url_paper = {https://ssanner.github.io/papers/anu/www15.pdf}
}

@inproceedings{sanner:icwsm15,
  author    = {H. Yu and L. Xie and S. Sanner},
  title     = {The Lifecyle of a Youtube Video: Phases, Content and Popularity},
  booktitle = {Proceedings of the 9th International Conference on Web and Social Media {(ICWSM-15)}},
  address   = {Oxford, UK},
  year      = {2015},
  url_paper = {https://ssanner.github.io/papers/anu/icwsm15.pdf}
}

@inproceedings{sanner:aaai15a,
  author = {H. Afshar and S. Sanner and E. Abbasnejad},
  title = {Linear-time {Gibbs} Sampling in Piecewise Graphical Models},
  year = {2015},
  booktitle = {Proceedings of the 29th {AAAI} Conference on Artificial Intelligence ({AAAI-15})},
  address = {Austin, USA},
  url_paper = {https://ssanner.github.io/papers/anu/aaai15_fb.pdf}
}

@inproceedings{sanner:aaai15b,
  author = {E. Abbasnejad and J. Domke and S. Sanner},
  title = {Loss-calibrated {Monte Carlo} Action Selection},
  year = {2015},
  booktitle = {Proceedings of the 29th {AAAI} Conference on Artificial Intelligence ({AAAI-15})},
  address = {Austin, USA},
  url_paper = {https://ssanner.github.io/papers/anu/aaai15_mcas.pdf}
}

@inproceedings{sanner:aaai15c,
  author = {L. G. Rocha Vianna and L. N. de Barros and S. Sanner},
  title = {Real-time Symbolic Dynamic Programming for Hybrid {MDPs}},
  year = {2015},
  booktitle = {Proceedings of the 29th {AAAI} Conference on Artificial Intelligence ({AAAI-15})},
  address = {Austin, USA},
  url_paper = {https://ssanner.github.io/papers/anu/aaai15_rtsdp.pdf}
}

@inproceedings{sanner:aaai15d,
  author = {G. Wu and S. 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 = {https://ssanner.github.io/papers/anu/aaai15_bmanb.pdf}
}

@inproceedings{sanner:sigir15,
  author    = {M. Golestan Far and S. Sanner and M. R. Bouadjenek and G. Ferraro and D. Hawking},
  title     = {On Term Selection Techniques for Patent Prior Art Search},
  booktitle = {Proceedings of the 38th International {ACM} {SIGIR} Conference on Research and Development in Information Retrieval {(SIGIR-15)}},
  address   = {Santiago, Chile},
  pages     = {803--806},
  year      = {2015},
  url_paper = {https://ssanner.github.io/papers/anu/sigir15_patents.pdf}
}

@inproceedings{sanner:icail15,
  author    = {M. R. Bouadjenek and S. Sanner and G. Ferraro},
  title     = {A Study of Query Reformulation for Patent Prior Art Search with Partial Patent Applications},
  booktitle = {Proceedings of the 15th International Conference on Artificial Intelligence and Law {(ICAIL-15)}},
  address   = {San Diego, USA},
  pages     = {23--32},
  year      = {2015},
  url_paper = {https://ssanner.github.io/papers/anu/icail15.pdf}
}

@inproceedings{sanner:pakdd15,
  author    = {K.{-}N. Tran and P. Christen and S. Sanner and L. Xie},
  title     = {Context-Aware Detection of Sneaky Vandalism on Wikipedia Across Multiple Languages},
  booktitle = {Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference {(PAKDD-15)}},
  address   = {Ho Chi Minh City, Vietnam},
  note = {Recipient of the Best Student Paper Award.},
  pages     = {380--391},
  year      = {2015},
  url_paper = {https://ssanner.github.io/papers/anu/pakdd15.pdf}
}

@inproceedings{sanner:recsys14,
  author = {S. Sedhain and S. Sanner and D. Braziunas and L. Xie and J. Christensen},
  year = {2014},
  title = {Social Collaborative Filtering for Cold-start Recommendations},
  booktitle = {Proceedings of the 8th {ACM} Conference on Recommender Systems ({RecSys-14})},
  address = {Foster City, USA},
  url_paper = {https://ssanner.github.io/papers/anu/recsys14.pdf}
}

@inproceedings{sanner:acmmm14,
  author = {H. Yu and L. Xie and S. Sanner},
  year = {2014},
  title = {Twitter-driven Youtube Views: Beyond Individual Influencers},
  booktitle = {Proceedings of the 22nd {ACM} International Conference on Multimedia ({ACM MM-14})},
  address = {Orlando, USA},
  url_paper = {https://ssanner.github.io/papers/anu/acmmm14.pdf}
}

@inproceedings{sanner:uai14a,
  author = {R. Marchant and F. Ramos and S. Sanner},
  year = {2014}, 
  title = {Sequential Bayesian Optimisation for Spatial-Temporal Monitoring},
  booktitle = {Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence ({UAI-14})},
  address = {Quebec City, Canada},
  url_paper = {https://ssanner.github.io/papers/anu/uai14sbo.pdf}
}

@inproceedings{sanner:uai14b,
  author = {S. Kinathil and S. Sanner and N. Della Penna},
  year = {2014}, 
  title = {Closed-form Solutions to a Subclass of Continuous Stochastic Games via Symbolic Dynamic Programming},
  booktitle = {Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence ({UAI-14})},
  address = {Quebec City, Canada},
  url_paper = {https://ssanner.github.io/papers/anu/uai14czerosum.pdf}
}

@article{sanner:dagstuhl14,
  author =	{J. F{\"u}rnkranz and E. H{\"u}llermeier and C. Rudin and R. Slowinski and S. Sanner},
  title =	{{Preference Learning (Dagstuhl Seminar 14101)}},
  pages =	{1--27},
  journal =	{{Dagstuhl Reports}},
  ISSN =	{2192-5283},
  year =	{2014},
  volume =	{4},
  number =	{3},
  editor =	{Johannes F{\"u}rnkranz and Eyke H{\"u}llermeier and Cynthia Rudin and Roman Slowinski and Scott Sanner},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2014/4550/pdf/dagrep_v004_i003_p001_s14101.pdf},
  doi =		{http://dx.doi.org/10.4230/DagRep.4.3.1}
}

@inproceedings{sanner:uai13,
  author = {L. G. Rocha Vianna and S. Sanner and L. N. de Barros},
  year = {2013}, 
  title = {Bounded Approximate Symbolic Dynamic Programming for Hybrid {MDP}s},
  booktitle = {Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence ({UAI-13})},
  address = {Bellevue, USA},
  url_paper = {https://ssanner.github.io/papers/anu/uai13.pdf}
}

@inproceedings{sanner:icml13,
  author = {T. Nguyen and S. Sanner},
  title = {Algorithms for Direct 0-1 Loss Optimization in Binary Classification},
  booktitle = {Proceedings of the 30th International Conference on Machine Learning ({ICML-13})},
  address = {Atlanta, USA},
  year = {2013},
  url_paper = {https://ssanner.github.io/papers/anu/icml13.pdf}
}

@inproceedings{sanner:sigir13,
  author = {R. Mehrotra and S. Sanner and W. Buntine and L. Xie},
  title = {Improving {LDA} Topic Models for Microblogs via Automatic Tweet Labeling and Pooling},
  booktitle = {Proceedings of the 36th Annual ACM SIG Information Retrieval Conference ({SIGIR-13})},
  address = {Dublin, Ireland},
  year = {2013},
  url_paper = {https://ssanner.github.io/papers/anu/sigir13.pdf}
} 

@inproceedings{sanner:ijcai13a,
  author = {E. Abbasnejad and S. Sanner and E. V. Bonilla and P. Poupart}, 
  title = {Learning Community-based Preferences via Dirichlet Process Mixtures of Gaussian Processes}, 
  booktitle = {Proceedings of the 23rd International Joint Conference on Artificial Intelligence ({IJCAI-13})}, 
  address = {Beijing, China},
  year = {2013},
  url_paper = {https://ssanner.github.io/papers/anu/mogp.pdf} 
}

@inproceedings{sanner:ijcai13b,
  author = {Z. Zamani and S. Sanner and K. V. Delgado and L. Nunes {de Barros}},
  title = {Robust Optimization for Hybrid {MDPs} with State-dependent Noise}, 
  booktitle = {Proceedings of the 23rd International Joint Conference on Artificial Intelligence ({IJCAI-13})}, 
  address = {Beijing, China},
  year = {2013},
  url_paper = {https://ssanner.github.io/papers/anu/hybnoise.pdf} 
}

@inproceedings{sanner:cosn13,
  author = {S. Sedhain and S. Sanner and L. Xie and R. Kidd and K.-N. Tran and P. Christen},
  title = {Social Affinity Filtering: Recommendation through Fine-grained Analysis of User Interactions and Activities},
  booktitle = {Proceedings of the ACM Conference on Online Social Networks ({COSN-13})},
  address = {Boston, USA},
  year= {2013},
  url_paper = {https://ssanner.github.io/papers/anu/cosn13.pdf}
}

@inproceedings{sanner:nips12,
  author = {Z. Zamani and S. Sanner and P. Poupart and K. Kersting},
  year = {2012},
  title = {Symbolic Dynamic Programming for Continuous State and Observation POMDPs},
  booktitle = {Proceedings of the 26th Annual Conference on Advances in Neural Information Processing Systems ({NeurIPS-12})},
  address = {Lake Tahoe, Nevada},
  url_paper = {https://ssanner.github.io/papers/anu/nips12.pdf}
}

@inproceedings{sanner:ecml12,
  author = {S. Guo and S. Sanner and T. Graepel and W. Buntine},
  year = {2012},
  title = {Score-based Bayesian Skill Learning},
  booktitle = {Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ({ECML/PKDD-12})}, 
  address = {Bristol, UK},
  url_paper = {https://ssanner.github.io/papers/anu/sbsl_ecml2012.pdf}
}

@inproceedings{sanner:aaai12a,
  author = {S. Sanner and E. Abbasnejad},
  year = {2012},
  title = {Symbolic Variable Elimination for Discrete and Continuous Graphical Models},
  booktitle = {Proceedings of the 26th AAAI Conference on Artificial Intelligence ({AAAI-12})},
  address = {Toronto, Canada},
  url_paper = {https://ssanner.github.io/papers/anu/aaai12_sve.pdf}
}

@inproceedings{sanner:aaai12b,
  author = {Z. Zamani and S. Sanner and C. Fang},
  year = {2012},
  title = {Symbolic Dynamic Programming for Continuous State and Action MDPs},
  booktitle = {Proceedings of the 26th AAAI Conference on Artificial Intelligence ({AAAI-12})},
  address = {Toronto, Canada},
  url_paper = {https://ssanner.github.io/papers/anu/aaai12_sdp.pdf}
}

@inproceedings{sanner:sigir12,
  author = {K.-W. Lim and S. Sanner and S. Guo},
  year = {2012},
  title = {On the Mathematical Relationship between Expected n-call@k and the Relevance vs. Diversity Trade-off},
  booktitle = {Proceedings of the 35th Annual ACM SIG Information Retrieval Conference ({SIGIR-12})},
  address = {Portland, USA},
  url_paper = {https://ssanner.github.io/papers/anu/sigir12.pdf}
}

@inproceedings{sanner:www12,
  author = {J. Noel and S. Sanner and K-N. Tran and P. Christen and L. Xie and E. Bonilla and E. Abbasnejad and N. Della Penna},
  year = {2012},
  title = {New Objectives for Social Collaborative Filtering},
  booktitle = {Proceedings of the 21st International Conference on the World Wide Web ({WWW-12})},
  address = {Lyon, France},
  url_paper = {https://ssanner.github.io/papers/anu/www12.pdf}
}

@proceedings{sanner:ewrl12,
  editor = {S. Sanner and M. Hutter},
  title = {Proceedings of the 9th European Workshop on Reinforcement Learning
           ({EWRL}) 2011, Athens, Greece, September 9-11, 2011},
  booktitle = {{EWRL}},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  volume = {7188},
  year = {2012},
  url_paper = {https://ssanner.github.io/papers/anu/ewrl11_preface.pdf}
}

@article{sanner:aimag12,
  title={A Survey of the Seventh International Planning Competition}, 
  journal={Artificial Intelligence Magazine ({AI Magazine})},
  author={A. Coles and A. Coles and A. Garc\'ia Olaya and S. Jim\'enez and C. Linares L\'opez and S. Sanner and S. Yoon},
  year={2012},
  volume={33},
  number={1}, 
  pages={83--88},
  url_paper = {https://ssanner.github.io/papers/anu/aim12.pdf}
}

@inproceedings{sanner:cikm11,
  author = "S. Sanner and S. Guo and T. Graepel and S. Kharazmi and S. Karimi",
  year = "2011",
  title = "Diverse Retrieval via Greedy Optimization of Expected 1-call@k in a Latent Subtopic Relevance Model",
  booktitle = "20th ACM Conference on Information and Knowledge Management ({CIKM-11})",
  address = "Glasgow, UK",
  url_paper = {https://ssanner.github.io/papers/anu/cikm11.pdf}
}

@inproceedings{sanner:uai11,
  author = "S. Sanner and K. V. Delgado and L. Nunes {de Barros}",
  year = "2011",
  title = "Symbolic Dynamic Programming for Discrete and Continuous State {MDP}s", 
  booktitle = "Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence ({UAI-11})",
  address = "Barcelona, Spain",
  url_paper = {https://ssanner.github.io/papers/anu/cont_mdp.pdf}
}

@inproceedings{sanner:ecml11,
  author = "M. Robards and P. Sunehag and S. Sanner and B. Marthi",
  year = "2011",
  title = "Sparse Kernel-{SARSA}(lambda) with an Eligibility Trace",
  booktitle = "Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ({ECML/PKDD-11})",
  location = "Athens, Greece",
  url_paper = {https://ssanner.github.io/papers/anu/kernel_sarsa.pdf}
}

@inproceedings{sanner:ijcai11,
  author = "B. Ahmadi and K. Kersting and S. Sanner",
  year = "2011",
  title = "Multi-Evidence Lifted Message Passing with Application to PageRank and the Kalman Filter", 
  booktitle = "Proceedings of the 22nd International Joint Conference on Artificial Intelligence ({IJCAI-11})",
  location = "Barcelona, Spain",
  url_paper = {https://ssanner.github.io/papers/anu/ijcai11.pdf}
}

@article{sanner:aij11,
  author = "K. V. Delgado and S. Sanner and L. Nunes {de Barros}",
  year = "2011",
  title = "Efficient Solutions to Factored {MDPs} with Imprecise Transition Probabilities",
  journal = "Artificial Intelligence Journal ({AIJ})",
  volume = "175",
  pages = "1498--1527",
  url_paper = {https://ssanner.github.io/papers/anu/aij11_final.pdf}
}

@article{sanner:ijar11,
  author = "K. Valdivia Delgado and L. Nunes {de Barros} and F. G. Cozman and S. Sanner",
  year = "2011",
  title = "Using Mathematical Programming to Solve Factored {M}arkov Decision Processes with Imprecise Probabilities",
  journal = "International Journal of Approximate Reasoning ({IJAR})",
  volume = "52",
  number = "7", 
  pages = "1000--1017",
  url_paper = {https://ssanner.github.io/papers/anu/ijar11_final.pdf}
}

@unpublished{sanner:rddl,
  author = "S. Sanner",
  title = "{R}elational {D}ynamic {I}nfluence {D}iagram
{L}anguage ({RDDL}): Language Description --- http://users.cecs.anu.edu.au/~ssanner/IPPC_2011/RDDL.pdf",
  note = "Unpublished Manuscript, Australian National University",
  year = "2010",
  url = "http://users.cecs.anu.edu.au/~ssanner/IPPC_2011/RDDL.pdf"
}

@inproceedings{sanner:nips10,
  author = "E. Bonilla and S. Guo and S. Sanner",
  title = "Gaussian Process Preference Elicitation",
  booktitle = "Advances in Neural Information Processing Systems 24 ({NeurIPS-10})",
  year = "2010",
  address = "Vancouver, Canada",
  publisher = "MIT Press",
  url_paper = {https://ssanner.github.io/papers/anu/gppe_final.pdf}
}

@inproceedings{sanner:aaai10,
  AUTHOR =       {S. Sanner and K. Kersting},
  TITLE =        {Symbolic Dynamic Programming for First-order {POMDP}s},
  BOOKTITLE =    {Proceedings of the 24th AAAI Conference on Artificial Intelligence ({AAAI-10})},
  YEAR =         {2010},
  address =      {Atlanta, Georgia},
  month =        {July 19-23},
  publisher =    {AAAI Press},
  url_paper = {https://ssanner.github.io/papers/anu/fo_pomdp.pdf}
}

@inproceedings{sanner:icml10,
  AUTHOR =       {C. Downey and S. Sanner},
  TITLE =        {Temporal Difference {Bayesian} Model Averaging: A {Bayesian} Perspective on Adapting Lambda},
  BOOKTITLE =    {Proceedings of the 27th International Conference on Machine Learning ({ICML-10})},
  YEAR =         {2010},
  address =      {Haifa, Israel},
  month =        {June 21-24},
  url_paper = {https://ssanner.github.io/papers/anu/td_bma.pdf}
}

@INPROCEEDINGS{sanner:sigir10,
  AUTHOR =       {S. Guo and S. Sanner},
  TITLE =        {Probabilistic Latent Maximal Marginal Relevance},
  BOOKTITLE =    {Proceedings of the 33rd Annual ACM SIG Information Retrieval Conference ({SIGIR-10})},
  YEAR =         {2010},
  address =      {Geneva, Switzerland},
  month =        {July 11-15},
  publisher =    {ACM},
  url_paper = {https://ssanner.github.io/papers/anu/sigir10.pdf}
}

@INPROCEEDINGS{sanner:aistats10,
  AUTHOR =       {S. Guo and S. Sanner},
  TITLE =        {Real-time Multiattribute {Bayesian} Preference Elicitation with Pairwise Comparison Queries},
  BOOKTITLE =    {Proceedings of the 13th International Conference on Artificial Intelligence and Statistics ({AISTATS-10})},
  YEAR =         {2010},
  volume =       {9},
  pages =        {289--296},
  address =      {Sardinia, Italy},
  month =        {May 13-15},
  url_paper = {https://ssanner.github.io/papers/anu/baypref.pdf}
}

@inproceedings{sanner:aamas10,
  author = "S. Sanner and W. Uther and K. V. Delgado",
  year = "2010",
  title = "Approximate Dynamic Programming with {Affine} {ADDs}",
  booktitle = "Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems ({AAMAS-10})",
  address = "Toronto, Canada",
  url_paper = {https://ssanner.github.io/papers/anu/aadd_approx.pdf}
}

@incollection{sanner:enc10, 
author = "S. Sanner and K. Kersting",
year = "2010",
title = "Symbolic dynamic programming",
editors = "C. Sammut", 
pages = "946--954",
booktitle = {Encyclopedia of Machine Learning}, 
publisher = "Springer-Verlag",
  url_paper = {https://ssanner.github.io/papers/anu/SDP_MLEnc.pdf}
} 

@inproceedings{sanner:icaps09,
  author = "K. V. Delgado and S. Sanner and L. Nunes de Barros and F. G. Cozman",
  year = "2009",
  title = "Efficient Solutions to Factored {MDP}s with Imprecise Transition Probabilities",
  booktitle = "Proceedings of the 19th Conference on Automated Planning and Scheduling ({ICAPS-09})",
  pdf = "http://users.cecs.anu.edu.au/~ssanner/Papers/fact_mdpip.pdf",
  url_paper = {https://ssanner.github.io/papers/anu/fact_mdpip.pdf}
}

@inproceedings {sanner:ijcai09,
  author = "S. Sanner and R. Goetschalckx and K. Driessens and G. Shani",
  pages = "1--8",
  year = "2009",
  booktitle = "21st International Joint Conference on Artificial Intelligence ({IJCAI-09})",
  address = "Pasadena, USA",
  editor = "Boutilier",
  pdf = "https://ssanner.github.io/papers/anu/ijcai09.pdf",
  title = "{Bayesian} Real-time Dynamic Programming",
  month = "July",
  url_paper = {https://ssanner.github.io/papers/anu/ijcai09.pdf}
}

@article {sanner:aij09,
  author = "S. Sanner and C. Boutilier",
  year = "2009",
  journal = "Artificial Intelligence Journal ({AIJ})",
  title = "Practical Solution Techniques for First-order {MDP}s",
  pages = "748-788",
  note = {Recipient of the 2014 Artificial Intelligence Journal (AIJ) Prominent Paper Award.},
  pdf = "https://ssanner.github.io/papers/anu/aij08.pdf",
  month = "April",
  url_paper = {https://ssanner.github.io/papers/anu/aij08.pdf} 
}

@article{sanner:ewrl08,
  author = "R. Goetschalckx and S. Sanner and K. Driessens",
  title = "Reinforcement learning with the use of costly features",
  journal = {Lecture Notes in Computer Science},
  volume = "5323",
  pages = "124--135",
  month = Nov,
  year = "2008",
  doi = "10.1007/978-3-540-89722-4\_{}10",
  url = "https://lirias.kuleuven.be/handle/123456789/199408",
  url_paper = {https://ssanner.github.io/papers/anu/ewrl08.pdf}
}

@inproceedings{sanner:icdm08,
  author = "R. Goetschalckx and S. Sanner and K. Driessens",
  title = "Cost-sensitive parsimonious linear regression",
  booktitle = "Proceedings of the 8th IEEE International Conference on Data Mining ({ICDM-08})",
  publisher = "IEEE Computer Society",
  pages = "809--814",
  year = "2008",
  doi = "10.1109/ICDM.2008.76",
  url = "https://lirias.kuleuven.be/handle/123456789/199410",
  url_paper = {https://ssanner.github.io/papers/anu/icdm08.pdf}
}

@inproceedings{sanner:ecai08,
author = "R. Goetschalckx and S. Sanner and K. Driessens",
year = "2008",
title = "Reinforcement Learning with the Use of Costly Features",
booktitle = "European Conference on Artificial Intelligence ({ECAI-08})",
pdf = "http://users.rsise.anu.edu.au/ñssanner/Papers/ecai08.pdf",
  url_paper = {https://ssanner.github.io/papers/anu/ecai08.pdf}
}

@phdthesis{sanner:phd,
    author = "S. Sanner",
    title = "{First-order Decision-theoretic Planning in Structured Relational Environments}",
    school = "University of Toronto, Toronto, ON, Canada",
    month = "March",
    year = "2008",
    url_paper = {https://ssanner.github.io/papers/anu/Sanner_Scott_P_200803_PhD_thesis.pdf}
}

@inproceedings{sanner:icaps07,
author = "S. Sanner and C. Boutilier",
year = "2007",
title = "Approximate solution techniques for factored first-order {MDP}s",
booktitle = "Proceedings of the 17th Conference on Automated Planning and Scheduling ({ICAPS-07})",
  url_paper = {https://ssanner.github.io/papers/anu/icaps07.pdf}
}

@inproceedings{sanner:icml07, 
author = "S. Sanner and T. Graepel and R. Herbrich and T. Minka",
year = "2007",
title = "Learning {CRF}s with hierarchical features: An application to the game of Go",
booktitle = "Proceedings of the Workshop on Constrained Optimization and Structured Output Spaces ({WCSOS-07})",
  url_paper = {https://ssanner.github.io/papers/anu/crfgo.pdf}
}

@inproceedings{sanner:uai06,
author = "S. Sanner and C. Boutilier",
year = "2006",
title = "Practical linear value-approximation techniques for first-order {MDP}s",
booktitle = "Proceedings of the 22nd Conference on Uncertainty in AI ({UAI-06})",
  url_paper = {https://ssanner.github.io/papers/anu/uai06.pdf}
}

@inproceedings{sanner:kr06,
author = "S. Sanner and S. McIlraith",
year = "2006",
title = "An ordered theory resolution calculus for hybrid reasoning in first-order extensions of description logic",
booktitle = "Proceedings of the 10th International Conference on Principles of Knowledge Representation and Reasoning ({KR-06})",
  url_paper = {https://ssanner.github.io/papers/anu/dlfol_kr06.pdf}
}

@inproceedings{sanner:srl06,
author = "S. Sanner",
year = "2006",
title = "Online feature discovery in relational reinforcement learning",
booktitle = "Proceedings of the Open Problems in Statistical Relational Learning Workshop ({SRL-06})",
  url_paper = {https://ssanner.github.io/papers/anu/icml06_srl_ws.pdf}
}

@inproceedings{sanner:ijcai05,
author = "S. Sanner and D. McAllester",
year = "2005",
title = "Affine algebraic decision diagrams ({AADD}s) and their application to structured probabilistic inference",
booktitle = "Proceedings of the 19th International Joint Conference on {AI} ({IJCAI-05})",
  url_paper = {https://ssanner.github.io/papers/anu/aadd.pdf}
}

@inproceedings{sanner:uai05,
author = "S. Sanner and C. Boutilier",
year = "2005",
title = "Approximate linear programming for first-order {MDP}s",
booktitle = "Proceedings of the 21st Conference on Uncertainty in {AI} ({UAI-05})",
  url_paper = {https://ssanner.github.io/papers/anu/uai05.pdf}
}

@inproceedings{sanner:rrfrl05,
author = "S. Sanner", 
year = "2005",
title = "Simultaneous learning of structure and value in relational reinforcement learning",
booktitle = "Proceedings of the Rich Representations for Relational Reinforcement Learning Workshop ({RRfRL-05})",
  url_paper = {https://ssanner.github.io/papers/anu/icml05_ws.pdf}
}

@techreport{sanner:rp05,
author = "S. Sanner",
year = "2005",
title = "Future directions for first-order decision-theoretic planning",
institution = "University of Toronto",
type = "{Research Proposal}",
  url_paper = {https://ssanner.github.io/papers/anu/research_prop.pdf}
}

@techreport{sanner:dr04,
author = "S. Sanner",
year = "2004",
title = "Relational and first-order decision-theoretic planning: Foundations and future directions",
type = "{Depth Report}",
institution = "University of Toronto",
  url_paper = {https://ssanner.github.io/papers/anu/sanner-depth.pdf}
}

@techreport{sanner:unpub04, 
author = "S. Sanner",
year = "2004",
title = "Refutation-complete binary decision diagrams",
type = "{Unpublished Manuscript}",
institution = "University of Toronto",
  url_paper = {https://ssanner.github.io/papers/anu/rcbdd.pdf}
}

@techreport{sanner:tr03,
author = "S. Sanner",
year = "2003",
title = "Towards practical taxonomic classification for description logics on the {Semantic Web}",
type = "{Technical Report}", 
institution = "Stanford University, Knowledge Systems Lab",
number = "KSL-03-06",
  url_paper = {https://ssanner.github.io/papers/anu/ksl0301.pdf}
}

@inproceedings{sanner:uai02,
author = "D. Anguelov and R. Biswas and D. Koller and B. Limketkai and S. Sanner and S. Thrun",
year = "2002",
title = "Learning hierarchical object maps of non-stationary environments with mobile robots",
booktitle = "Proceedings of the 18th Conference on Uncertainty in {AI} ({UAI-02})",
  url_paper = {https://ssanner.github.io/papers/anu/anguelov.uai02.pdf}
}

@inproceedings{sanner:iros02,
author = "R. Biswas and B. Limketkai and S. Sanner and S. Thrun",
year = "2002",
title = "Towards object mapping in dynamic environments with mobile robots",
booktitle = "Proceedings of the Conference on Intelligent Robots and Systems ({IROS-02})",
  url_paper = {https://ssanner.github.io/papers/anu/biswas.objects02.pdf}
}

@inproceedings{sanner:icml00,
author = "S. Sanner and J. R. Anderson and C. Lebiere and M. Lovett",
year = "2000",
title = "Achieving efficient and cognitively plausible learning in backgammon",
booktitle = "Proceedings of the 17th International Conference on Machine Learning ({ICML-00})",
  url_paper = {https://ssanner.github.io/papers/anu/ICML2000.pdf}
}