Craig Boutilier

321 papers A* 102A 52B 3Misc 2Journal 126Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	ConvApparel: A Benchmark Dataset and Validation Framework for User Simulators in Conversational Recommenders. EACL (Volume 1: Long Papers) Ofer Meshi, Krisztian Balog, Sally Goldman, Avi Caciularu, Guy Tennenholtz, Jihwan Jeong, Amir Globerson, Craig Boutilier
2026	J	`jnl`	ConvApparel: A Benchmark Dataset and Validation Framework for User Simulators in Conversational Recommenders. CoRR Ofer Meshi, Krisztian Balog, Sally Goldman, Avi Caciularu, Guy Tennenholtz, Jihwan Jeong, Amir Globerson, Craig Boutilier
2026	J	`jnl`	Diffusion Controller: Framework, Algorithms and Parameterization. CoRR Tong Yang, Moonkyung Ryu, Chih-Wei Hsu, Guy Tennenholtz, Yuejie Chi, Craig Boutilier, Bo Dai
2026	J	`jnl`	Efficient, Property-Aligned Fan-Out Retrieval via RL-Compiled Diffusion. CoRR Pengcheng Jiang, Judith Yue Li, Moonkyung Ryu, R. Lily Hu, Kun Su, Zhong Yi Wan, Liam Hebert, Hao Peng, Jiawei Han, Dima Kuzmin, Craig Boutilier
2025	J	`jnl`	Asking Clarifying Questions for Preference Elicitation With Large Language Models. CoRR Ali Montazeralghaem, Guy Tennenholtz, Craig Boutilier, Ofer Meshi
2025	J	`jnl`	Descriptive History Representations: Learning Representations by Answering Questions. CoRR Guy Tennenholtz, Jihwan Jeong, Chih-Wei Hsu, Yinlam Chow, Craig Boutilier
2025	A*	`conf`	Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models. ICLR Yinlam Chow, Guy Tennenholtz, Izzeddin Gur, Vincent Zhuang, Bo Dai, Aviral Kumar, Rishabh Agarwal, Sridhar Thiagarajan, Craig Boutilier, Aleksandra Faust
2025	A*	`conf`	Preference Adaptive and Sequential Text-to-Image Generation. ICML Ofir Nabati, Guy Tennenholtz, Chih-Wei Hsu, Moonkyung Ryu, Deepak Ramachandran, Yinlam Chow, Xiang Li, Craig Boutilier
2025	J	`jnl`	Reinforcement Learning with Discrete Diffusion Policies for Combinatorial Action Spaces. CoRR Haitong Ma, Ofir Nabati, Aviv Rosenberg, Bo Dai, Oran Lang, Idan Szpektor, Craig Boutilier, Na Li, Shie Mannor, Lior Shani, Guy Tennenholtz
2025	J	`jnl`	Synthetic Dialogue Generation for Interactive Conversational Elicitation & Recommendation (ICER). CoRR Moonkyung Ryu, Chih-Wei Hsu, Yinlam Chow, Mohammad Ghavamzadeh, Craig Boutilier
2024	J	`jnl`	Building Human Values into Recommender Systems: An Interdisciplinary Synthesis. Trans. Recomm. Syst. Jonathan Stray, Alon Y. Halevy, Parisa Assar, Dylan Hadfield-Menell, Craig Boutilier, Amar Ashar, Chloé Bakalar, Lex Beattie, Michael D. Ekstrand, Claire Leibowicz, Connie Moon Sehat, Sara Johansen, Lianne Kerlin, David Vickrey, Spandana Singh, Sanne Vrijenhoek, Amy Xian Zhang, McKane Andrus, Natali Helberger, Polina Proutskova, Tanushree Mitra, Nina Vasan
2024	A*	`conf`	Demystifying Embedding Spaces using Large Language Models. ICLR Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier
2024	A*	`conf`	Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval. NeurIPS Haolun Wu, Ofer Meshi, Masrour Zoghi, Fernando Diaz, Xue (Steve) Liu, Craig Boutilier, Maryam Karimzadehgan
2024	J	`jnl`	Discovering Personalized Semantics for Soft Attributes in Recommender Systems Using Concept Activation Vectors. Trans. Recomm. Syst. Christina Göpfert, Alex Haig, Chih-Wei Hsu, Yinlam Chow, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Hubert Pham, Mohammad Ghavamzadeh, Craig Boutilier
2024	A*	`conf`	DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning. NeurIPS Anthony Liang, Guy Tennenholtz, Chih-Wei Hsu, Yinlam Chow, Erdem Biyik, Craig Boutilier
2024	J	`jnl`	DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning. CoRR Anthony Liang, Guy Tennenholtz, Chih-Wei Hsu, Yinlam Chow, Erdem Biyik, Craig Boutilier
2024	A*	`conf`	Embedding-Aligned Language Models. NeurIPS Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Lior Shani, Yi Liang, Craig Boutilier
2024	J	`jnl`	Embedding-Aligned Language Models. CoRR Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Lior Shani, Ethan Liang, Craig Boutilier
2024	J	`jnl`	Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models. CoRR Yinlam Chow, Guy Tennenholtz, Izzeddin Gur, Vincent Zhuang, Bo Dai, Sridhar Thiagarajan, Craig Boutilier, Rishabh Agarwal, Aviral Kumar, Aleksandra Faust
2024	A*	`conf`	Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies. SIGIR Chih-Wei Hsu, Martin Mladenov, Ofer Meshi, James Pine, Hubert Pham, Shane Li, Xujian Liang, Anton Polishko, Li Yang, Ben Scheetz, Craig Boutilier
2024	J	`jnl`	Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies. CoRR Chih-Wei Hsu, Martin Mladenov, Ofer Meshi, James Pine, Hubert Pham, Shane Li, Xujian Liang, Anton Polishko, Li Yang, Ben Scheetz, Craig Boutilier
2024	A*	`conf`	Model-Free Preference Elicitation. IJCAI Carlos Martin, Craig Boutilier, Ofer Meshi, Tuomas Sandholm
2024	J	`jnl`	Personalized and Sequential Text-to-Image Generation. CoRR Ofir Nabati, Guy Tennenholtz, Chih-Wei Hsu, Moonkyung Ryu, Deepak Ramachandran, Yinlam Chow, Xiang Li, Craig Boutilier
2024	A*	`conf`	Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization. AAAI Craig Boutilier, Martin Mladenov, Guy Tennenholtz
2023	A*	`conf`	A Mixture-of-Expert Approach to RL-based Dialogue Management. ICLR Yinlam Chow, Aza Tulepbergenov, Ofir Nachum, Dhawal Gupta, Moonkyung Ryu, Mohammad Ghavamzadeh, Craig Boutilier
2023	J	`jnl`	Aligning Text-to-Image Models using Human Feedback. CoRR Kimin Lee, Hao Liu, Moonkyung Ryu, Olivia Watkins, Yuqing Du, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Shixiang Shane Gu
2023	J	`jnl`	Content Prompting: Modeling Content Provider Dynamics to Improve User Welfare in Recommender Ecosystems. CoRR Siddharth Prasad, Martin Mladenov, Craig Boutilier
2023	J	`jnl`	DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models. CoRR Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee
2023	J	`jnl`	Demystifying Embedding Spaces using Large Language Models. CoRR Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier
2023	J	`jnl`	Density-based User Representation through Gaussian Process Regression for Multi-interest Personalized Retrieval. CoRR Haolun Wu, Ofer Meshi, Masrour Zoghi, Fernando Diaz, Xue Liu, Craig Boutilier, Maryam Karimzadehgan
2023	J	`jnl`	Factual and Personalized Recommendations using Language Models and Reinforcement Learning. CoRR Jihwan Jeong, Yinlam Chow, Guy Tennenholtz, Chih-Wei Hsu, Azamat Tulepbergenov, Mohammad Ghavamzadeh, Craig Boutilier
2023	J	`jnl`	Modeling Recommender Ecosystems: Research Challenges at the Intersection of Mechanism Design, Reinforcement Learning and Generative Models. CoRR Craig Boutilier, Martin Mladenov, Guy Tennenholtz
2023	A*	`conf`	Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management. NeurIPS Dhawal Gupta, Yinlam Chow, Azamat Tulepbergenov, Mohammad Ghavamzadeh, Craig Boutilier
2023	J	`jnl`	Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management. CoRR Dhawal Gupta, Yinlam Chow, Mohammad Ghavamzadeh, Craig Boutilier
2023	J	`jnl`	Preference Elicitation with Soft Attributes in Interactive Recommendation. CoRR Erdem Biyik, Fan Yao, Yinlam Chow, Alex Haig, Chih-Wei Hsu, Mohammad Ghavamzadeh, Craig Boutilier
2023	J	`jnl`	Ranking with Popularity Bias: User Welfare under Self-Amplification Dynamics. CoRR Guy Tennenholtz, Martin Mladenov, Nadav Merlis, Craig Boutilier
2023	A*	`conf`	Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models. NeurIPS Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee
2023	A*	`conf`	Reinforcement Learning with History Dependent Dynamic Contexts. ICML Guy Tennenholtz, Nadav Merlis, Lior Shani, Martin Mladenov, Craig Boutilier
2023	J	`jnl`	Reinforcement Learning with History-Dependent Dynamic Contexts. CoRR Guy Tennenholtz, Nadav Merlis, Lior Shani, Martin Mladenov, Craig Boutilier
2022	J	`jnl`	A Mixture-of-Expert Approach to RL-based Dialogue Management. CoRR Yinlam Chow, Aza Tulepbergenov, Ofir Nachum, Moonkyung Ryu, Mohammad Ghavamzadeh, Craig Boutilier
2022	—	`conf`	An adversarial variational inference approach for travel demand calibration of urban traffic simulators. SIGSPATIAL/GIS Martin Mladenov, Sanjay Ganapathy Subramaniam, Chih-Wei Hsu, Neha Arora, Andrew Tomkins, Craig Boutilier, Carolina Osorio
2022	J	`jnl`	Building Human Values into Recommender Systems: An Interdisciplinary Synthesis. CoRR Jonathan Stray, Alon Y. Halevy, Parisa Assar, Dylan Hadfield-Menell, Craig Boutilier, Amar Ashar, Lex Beattie, Michael D. Ekstrand, Claire Leibowicz, Connie Moon Sehat, Sara Johansen, Lianne Kerlin, David Vickrey, Spandana Singh, Sanne Vrijenhoek, Amy X. Zhang, McKane Andrus, Natali Helberger, Polina Proutskova, Tanushree Mitra, Nina Vasan
2022	A*	`conf`	Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors. WWW Christina Göpfert, Yinlam Chow, Chih-Wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier
2022	J	`jnl`	Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors. CoRR Christina Göpfert, Yinlam Chow, Chih-Wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier
2022	J	`jnl`	Dynamic Planning in Open-Ended Dialogue using Reinforcement Learning. CoRR Deborah Cohen, Moonkyung Ryu, Yinlam Chow, Orgad Keller, Ido Greenberg, Avinatan Hassidim, Michael Fink, Yossi Matias, Idan Szpektor, Craig Boutilier, Gal Elidan
2022	J	`jnl`	Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report. CoRR Michael L. Littman, Ifeoma Ajunwa, Guy Berger, Craig Boutilier, Morgan Currie, Finale Doshi-Velez, Gillian K. Hadfield, Michael C. Horowitz, Charles Isbell, Hiroaki Kitano, Karen Levy, Terah Lyons, Melanie Mitchell, Julie Shah, Steven A. Sloman, Shannon Vallor, Toby Walsh
2022	J	`jnl`	IMO CoRR Nan Wang, Hongning Wang, Maryam Karimzadehgan, Branislav Kveton, Craig Boutilier
2022	A*	`conf`	IMO^3: Interactive Multi-Objective Off-Policy Optimization. IJCAI Nan Wang, Hongning Wang, Maryam Karimzadehgan, Branislav Kveton, Craig Boutilier
2022	A*	`conf`	Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities. AAAI Filip Radlinski, Craig Boutilier, Deepak Ramachandran, Ivan Vendrov
2022	A	`conf`	Thompson Sampling with a Mixture Prior. AISTATS Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh, Craig Boutilier
2021	A*	`conf`	Meta-Thompson Sampling. ICML Branislav Kveton, Mikhail Konobeev, Manzil Zaheer, Chih-Wei Hsu, Martin Mladenov, Craig Boutilier, Csaba Szepesvári
2021	J	`jnl`	Meta-Thompson Sampling. CoRR Branislav Kveton, Mikhail Konobeev, Manzil Zaheer, Chih-Wei Hsu, Martin Mladenov, Craig Boutilier, Csaba Szepesvári
2021	J	`jnl`	RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems. CoRR Martin Mladenov, Chih-Wei Hsu, Vihan Jain, Eugene Ie, Christopher Colby, Nicolas Mayoraz, Hubert Pham, Dustin Tran, Ivan Vendrov, Craig Boutilier
2021	J	`jnl`	Thompson Sampling with a Mixture Prior. CoRR Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh, Craig Boutilier
2021	A*	`conf`	Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities. WWW Ruohan Zhan, Konstantina Christakopoulou, Ya Le, Jayden Ooi, Martin Mladenov, Alex Beutel, Craig Boutilier, Ed H. Chi, Minmin Chen
2021	J	`jnl`	Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities. CoRR Ruohan Zhan, Konstantina Christakopoulou, Ya Le, Jayden Ooi, Martin Mladenov, Alex Beutel, Craig Boutilier, Ed H. Chi, Minmin Chen
2020	A*	`conf`	BRPO: Batch Residual Policy Optimization. IJCAI Sungryull Sohn, Yinlam Chow, Jayden Ooi, Ofir Nachum, Honglak Lee, Ed H. Chi, Craig Boutilier
2020	J	`jnl`	BRPO: Batch Residual Policy Optimization. CoRR Sungryull Sohn, Yinlam Chow, Jayden Ooi, Ofir Nachum, Honglak Lee, Ed H. Chi, Craig Boutilier
2020	A*	`conf`	CAQL: Continuous Action Q-Learning. ICLR Moonkyung Ryu, Yinlam Chow, Ross Anderson, Christian Tjandraatmadja, Craig Boutilier
2020	A*	`conf`	ConQUR: Mitigating Delusional Bias in Deep Q-Learning. ICML DiJia Su, Jayden Ooi, Tyler Lu, Dale Schuurmans, Craig Boutilier
2020	J	`jnl`	ConQUR: Mitigating Delusional Bias in Deep Q-learning. CoRR Andy Su, Jayden Ooi, Tyler Lu, Dale Schuurmans, Craig Boutilier
2020	J	`jnl`	Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing. CoRR Ge Liu, Rui Wu, Heng-Tze Cheng, Jing Wang, Jayden Ooi, Lihong Li, Ang Li, Wai Lok Sibon Li, Craig Boutilier, Ed H. Chi
2020	A	`conf`	Demonstrating Principled Uncertainty Modeling for Recommender Ecosystems with RecSim NG. RecSys Martin Mladenov, Chih-Wei Hsu, Vihan Jain, Eugene Ie, Christopher Colby, Nicolas Mayoraz, Hubert Pham, Dustin Tran, Ivan Vendrov, Craig Boutilier
2020	J	`jnl`	Differentiable Bandit Exploration. CoRR Craig Boutilier, Chih-Wei Hsu, Branislav Kveton, Martin Mladenov, Csaba Szepesvári, Manzil Zaheer
2020	J	`jnl`	Differentiable Meta-Learning in Contextual Bandits. CoRR Branislav Kveton, Martin Mladenov, Chih-Wei Hsu, Manzil Zaheer, Csaba Szepesvári, Craig Boutilier
2020	A*	`conf`	Differentiable Meta-Learning of Bandit Policies. NeurIPS Craig Boutilier, Chih-Wei Hsu, Branislav Kveton, Martin Mladenov, Csaba Szepesvári, Manzil Zaheer
2020	A*	`conf`	Gradient-Based Optimization for Bayesian Preference Elicitation. AAAI Ivan Vendrov, Tyler Lu, Qingqing Huang, Craig Boutilier
2020	A*	`conf`	Latent Bandits Revisited. NeurIPS Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Craig Boutilier
2020	J	`jnl`	Latent Bandits Revisited. CoRR Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Craig Boutilier
2020	J	`jnl`	Non-Stationary Latent Bandits. CoRR Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Mohammad Ghavamzadeh, Craig Boutilier
2020	J	`jnl`	On the equivalence of optimal recommendation sets and myopically optimal query sets. Artif. Intell. Paolo Viappiani, Craig Boutilier
2020	A*	`conf`	Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach. ICML Martin Mladenov, Elliot Creager, Omer Ben-Porat, Kevin Swersky, Richard S. Zemel, Craig Boutilier
2020	J	`jnl`	Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach. CoRR Martin Mladenov, Elliot Creager, Omer Ben-Porat, Kevin Swersky, Richard S. Zemel, Craig Boutilier
2020	J	`jnl`	Preference elicitation and robust winner determination for single- and multi-winner social choice. Artif. Intell. Tyler Lu, Craig Boutilier
2020	A	`conf`	Randomized Exploration in Generalized Linear Bandits. AISTATS Branislav Kveton, Manzil Zaheer, Csaba Szepesvári, Lihong Li, Mohammad Ghavamzadeh, Craig Boutilier
2019	A*	`conf`	Advantage Amplification in Slowly Evolving Latent-State Environments. IJCAI Martin Mladenov, Ofer Meshi, Jayden Ooi, Dale Schuurmans, Craig Boutilier
2019	J	`jnl`	Advantage Amplification in Slowly Evolving Latent-State Environments. CoRR Martin Mladenov, Ofer Meshi, Jayden Ooi, Dale Schuurmans, Craig Boutilier
2019	J	`jnl`	CAQL: Continuous Action Q-Learning. CoRR Moonkyung Ryu, Yinlam Chow, Ross Anderson, Christian Tjandraatmadja, Craig Boutilier
2019	J	`jnl`	Empathetic decision making in social networks. Artif. Intell. Amirali Salehi-Abari, Craig Boutilier, Kate Larson
2019	A	`conf`	Experiential Preference Elicitation for Autonomous Heating and Cooling Systems. AAMAS Andrew Perrault, Craig Boutilier
2019	J	`jnl`	Gradient-based Optimization for Bayesian Preference Elicitation. CoRR Ivan Vendrov, Tyler Lu, Qingqing Huang, Craig Boutilier
2019	A	`conf`	Perturbed-History Exploration in Stochastic Linear Bandits. UAI Branislav Kveton, Csaba Szepesvári, Mohammad Ghavamzadeh, Craig Boutilier
2019	J	`jnl`	Perturbed-History Exploration in Stochastic Linear Bandits. CoRR Branislav Kveton, Csaba Szepesvári, Mohammad Ghavamzadeh, Craig Boutilier
2019	A*	`conf`	Perturbed-History Exploration in Stochastic Multi-Armed Bandits. IJCAI Branislav Kveton, Csaba Szepesvári, Mohammad Ghavamzadeh, Craig Boutilier
2019	J	`jnl`	Perturbed-History Exploration in Stochastic Multi-Armed Bandits. CoRR Branislav Kveton, Csaba Szepesvári, Mohammad Ghavamzadeh, Craig Boutilier
2019	J	`jnl`	Randomized Exploration in Generalized Linear Bandits. CoRR Branislav Kveton, Manzil Zaheer, Csaba Szepesvári, Lihong Li, Mohammad Ghavamzadeh, Craig Boutilier
2019	J	`jnl`	RecSim: A Configurable Simulation Platform for Recommender Systems. CoRR Eugene Ie, Chih-Wei Hsu, Martin Mladenov, Vihan Jain, Sanmit Narvekar, Jing Wang, Rui Wu, Craig Boutilier
2019	J	`jnl`	Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology. CoRR Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal, Rui Wu, Heng-Tze Cheng, Morgane Lustman, Vince Gatto, Paul Covington, Jim McFadden, Tushar Chandra, Craig Boutilier
2019	A*	`conf`	SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets. IJCAI Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal, Rui Wu, Heng-Tze Cheng, Tushar Chandra, Craig Boutilier
2018	A*	`conf`	Data center cooling using model-predictive control. NeurIPS Nevena Lazic, Craig Boutilier, Tyler Lu, Eehern Wong, Binz Roy, M. K. Ryu, Greg Imwalle
2018	A*	`conf`	Non-delusional Q-learning and value-iteration. NeurIPS Tyler Lu, Dale Schuurmans, Craig Boutilier
2018	A*	`conf`	Planning and Learning with Stochastic Action Sets. IJCAI Craig Boutilier, Alon Cohen, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans
2018	J	`jnl`	Planning and Learning with Stochastic Action Sets. CoRR Craig Boutilier, Alon Cohen, Amit Daniely, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans
2018	J	`jnl`	Seq2Slate: Re-ranking and Slate Optimization with RNNs. CoRR Irwan Bello, Sayali Kulkarni, Sagar Jain, Craig Boutilier, Ed Huai-hsin Chi, Elad Eban, Xiyang Luo, Alan Mackey, Ofer Meshi
2018	A	`conf`	Toward User-Centric Recommender Systems. AAMAS Craig Boutilier
2017	A*	`conf`	Logistic Markov Decision Processes. IJCAI Martin Mladenov, Craig Boutilier, Dale Schuurmans, Ofer Meshi, Gal Elidan, Tyler Lu
2017	A	`conf`	Multiple-Profile Prediction-of-Use Games. AAMAS Andrew Perrault, Craig Boutilier
2017	—	`conf`	Multiple-Profile Prediction-of-Use Games. AAMAS Workshops (Selected Papers) Andrew Perrault, Craig Boutilier
2017	A*	`conf`	Multiple-Profile Prediction-of-Use Games. IJCAI Andrew Perrault, Craig Boutilier
2017	J	`jnl`	Safe Exploration for Identifying Linear Systems via Robust Optimization. CoRR Tyler Lu, Martin Zinkevich, Craig Boutilier, Binz Roy, Dale Schuurmans
2016	A	`conf`	Budget Allocation using Weakly Coupled, Constrained Markov Decision Processes. UAI Craig Boutilier, Tyler Lu
2016	—	`ch.`	Incomplete Information and Communication in Voting. Handbook of Computational Social Choice Craig Boutilier, Jeffrey S. Rosenschein
2015	A*	`conf`	Approximately Stable Pricing for Coordinated Purchasing of Electricity. IJCAI Andrew Perrault, Craig Boutilier
2015	A	`conf`	Approximately Strategy-proof Mechanisms for (Constrained) Facility Location. AAMAS Xin Sui, Craig Boutilier
2015	J	`jnl`	Computational Social Choice: Theory and Applications (Dagstuhl Seminar 15241). Dagstuhl Reports Craig Boutilier, Britta Dorn, Nicolas Maudet, Vincent Merlin
2015	—	`conf`	Optimal Group Manipulation in Facility Location Problems. ADT Xin Sui, Craig Boutilier
2015	J	`jnl`	Optimal social choice functions: A utilitarian view. Artif. Intell. Craig Boutilier, Ioannis Caragiannis, Simi Haber, Tyler Lu, Ariel D. Procaccia, Or Sheffet
2015	A	`conf`	Preference-oriented Social Networks: Group Recommendation and Inference. RecSys Amirali Salehi-Abari, Craig Boutilier
2015	A*	`conf`	The Pricing War Continues: On Competitive Multi-Item Pricing. AAAI Omer Lev, Joel Oren, Craig Boutilier, Jeffrey S. Rosenschein
2015	A*	`conf`	Value-Directed Compression of Large-Scale Assignment Problems. AAAI Tyler Lu, Craig Boutilier
2014	A*	`conf`	A Game-Theoretic Analysis of Catalog Optimization. AAAI Joel Oren, Nina Narodytska, Craig Boutilier
2014	J	`jnl`	Effective sampling and learning for mallows models with pairwise-preference data. J. Mach. Learn. Res. Tyler Lu, Craig Boutilier
2014	A	`conf`	Efficient coordinated power distribution on private infrastructure. AAMAS Andrew Perrault, Craig Boutilier
2014	A	`conf`	Empathetic social choice on social networks. AAMAS Amirali Salehi-Abari, Craig Boutilier
2014	J	`jnl`	On the value of using group discounts under price competition. Artif. Intell. Reshef Meir, Tyler Lu, Moshe Tennenholtz, Craig Boutilier
2014	A*	`conf`	Preference Elicitation and Interview Minimization in Stable Matchings. AAAI Joanna Drummond, Craig Boutilier
2014	A*	`conf`	Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty. AAAI Thanh Hong Nguyen, Amulya Yadav, Bo An, Milind Tambe, Craig Boutilier
2014	A*	`conf`	Robust Winners and Winner Determination Policies under Candidate Uncertainty. AAAI Craig Boutilier, Jérôme Lang, Joel Oren, Héctor Palacios
2014	J	`jnl`	The Pricing War Continues: On Competitive Multi-Item Pricing. CoRR Omer Lev, Joel Oren, Craig Boutilier, Jeffrey S. Rosenschein
2013	A*	`conf`	Analysis and Optimization of Multi-Dimensional Percentile Mechanisms. IJCAI Xin Sui, Craig Boutilier, Tuomas Sandholm
2013	J	`jnl`	Approximately Optimal Monitoring of Plan Preconditions CoRR Craig Boutilier
2013	J	`jnl`	Context-Specific Independence in Bayesian Networks CoRR Craig Boutilier, Nir Friedman, Moisés Goldszmidt, Daphne Koller
2013	J	`jnl`	Continuous Value Function Approximation for Sequential Bidding Policies CoRR Craig Boutilier, Moisés Goldszmidt, Bikash Sabata
2013	J	`jnl`	Correlated Action Effects in Decision Theoretic Regression CoRR Craig Boutilier
2013	A*	`conf`	Efficient Vote Elicitation under Candidate Uncertainty. IJCAI Joel Oren, Yuval Filmus, Craig Boutilier
2013	A*	`conf`	Elicitation and Approximately Stable Matching with Partial Preferences. IJCAI Joanna Drummond, Craig Boutilier
2013	J	`jnl`	Hierarchical Solution of Markov Decision Processes using Macro-actions CoRR Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier
2013	J	`jnl`	Integrating Planning and Execution in Stochastic Domains CoRR Richard Dearden, Craig Boutilier
2013	J	`jnl`	Learning Conventions in Multiagent Stochastic Domains using Likelihood Estimates CoRR Craig Boutilier
2013	J	`jnl`	Modal Logics for Qualitative Possibility and Beliefs CoRR Craig Boutilier
2013	A*	`conf`	Multi-Dimensional Single-Peaked Consistency and Its Approximations. IJCAI Xin Sui, Alex Francois-Nienaber, Craig Boutilier
2013	A*	`conf`	Multi-Winner Social Choice with Incomplete Preferences. IJCAI Tyler Lu, Craig Boutilier
2013	A*	`conf`	On the Value of Using Group Discounts under Price Competition. AAAI Reshef Meir, Tyler Lu, Moshe Tennenholtz, Craig Boutilier
2013	J	`jnl`	Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (2000) CoRR Craig Boutilier, Moisés Goldszmidt
2013	J	`jnl`	Reasoning With Conditional Ceteris Paribus Preference Statem CoRR Craig Boutilier, Ronen I. Brafman, Holger H. Hoos, David Poole
2013	J	`jnl`	SPUDD: Stochastic Planning using Decision Diagrams CoRR Jesse Hoey, Robert St-Aubin, Alan J. Hu, Craig Boutilier
2013	J	`jnl`	Structured Arc Reversal and Simulation of Dynamic Probabilistic Networks CoRR Adrian Y. W. Cheuk, Craig Boutilier
2013	J	`jnl`	Structured Reachability Analysis for Markov Decision Processes CoRR Craig Boutilier, Ronen I. Brafman, Christopher W. Geib
2013	J	`jnl`	The Probability of a Possibility: Adding Uncertainty to Default Rules CoRR Craig Boutilier
2013	J	`jnl`	UCP-Networks: A Directed Graphical Representation of Conditional Utilities CoRR Craig Boutilier, Fahiem Bacchus, Ronen I. Brafman
2013	J	`jnl`	Value-Directed Belief State Approximation for POMDPs CoRR Pascal Poupart, Craig Boutilier
2013	J	`jnl`	Value-Directed Sampling Methods for POMDPs CoRR Pascal Poupart, Luis E. Ortiz, Craig Boutilier
2013	J	`jnl`	Vector-space Analysis of Belief-state Approximation for POMDPs CoRR Pascal Poupart, Craig Boutilier
2012	A*	`conf`	A Dynamic Rationalization of Distance Rationalizability. AAAI Craig Boutilier, Ariel D. Procaccia
2012	J	`jnl`	A Framework for Optimizing Paper Matching CoRR Laurent Charlin, Richard S. Zemel, Craig Boutilier
2012	J	`jnl`	Active Collaborative Filtering CoRR Craig Boutilier, Richard S. Zemel, Benjamin M. Marlin
2012	J	`jnl`	Active Learning for Matching Problems CoRR Laurent Charlin, Richard S. Zemel, Craig Boutilier
2012	A*	`conf`	Active Learning for Matching Problems. ICML Laurent Charlin, Richard S. Zemel, Craig Boutilier
2012	J	`jnl`	Approximate Linear Programming for First-order MDPs CoRR Scott Sanner, Craig Boutilier
2012	J	`jnl`	Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare CoRR Tyler Lu, Pingzhong Tang, Ariel D. Procaccia, Craig Boutilier
2012	A	`conf`	Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare. UAI Tyler Lu, Pingzhong Tang, Ariel D. Procaccia, Craig Boutilier
2012	J	`jnl`	Cooperative Negotiation in Autonomic Systems using Incremental Utility Elicitation CoRR Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh
2012	A	`conf`	Eliciting forecasts from self-interested experts: scoring rules for decision makers. AAMAS Craig Boutilier
2012	J	`jnl`	Local Utility Elicitation in GAI Models CoRR Darius Braziunas, Craig Boutilier
2012	A*	`conf`	Matching models for preference-sensitive group purchasing. EC Tyler Lu, Craig Boutilier
2012	J	`jnl`	Minimax regret based elicitation of generalized additive utilities CoRR Darius Braziunas, Craig Boutilier
2012	A*	`conf`	Optimal social choice functions: a utilitarian view. EC Craig Boutilier, Ioannis Caragiannis, Simi Haber, Tyler Lu, Ariel D. Procaccia, Or Sheffet
2012	J	`jnl`	People, sensors, decisions: Customizable and adaptive technologies for assistance in healthcare. ACM Trans. Interact. Intell. Syst. Jesse Hoey, Craig Boutilier, Pascal Poupart, Patrick Olivier, Andrew Monk, Alex Mihailidis
2012	J	`jnl`	Practical Linear Value-approximation Techniques for First-order MDPs. CoRR Scott Sanner, Craig Boutilier
2012	J	`jnl`	Regret Minimizing Equilibria and Mechanisms for Games with Strict Type Uncertainty CoRR Nathanael Hyafil, Craig Boutilier
2012	J	`jnl`	Regret-based Reward Elicitation for Markov Decision Processes CoRR Kevin Regan, Craig Boutilier
2012	J	`jnl`	Sequentially optimal repeated coalition formation under uncertainty. Auton. Agents Multi Agent Syst. Georgios Chalkiadakis, Craig Boutilier
2012	J	`jnl`	Toward Experiential Utility Elicitation for Interface Customization CoRR Bowen Hui, Craig Boutilier
2011	—	`conf`	A Bayesian Concept Learning Approach to Crowdsourcing. Interactive Decision Theory and Game Theory Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier
2011	—	`conf`	A Bayesian Concept Learning Approach to Crowdsourcing. ITWP@IJCAI Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier
2011	A	`conf`	A Framework for Optimizing Paper Matching. UAI Laurent Charlin, Richard S. Zemel, Craig Boutilier
2011	J	`jnl`	Accelerating Reinforcement Learning through Implicit Imitation CoRR Craig Boutilier, Bob Price
2011	A*	`conf`	Budgeted Social Choice: From Consensus to Personalized Decision Making. IJCAI Tyler Lu, Craig Boutilier
2011	J	`jnl`	CP-nets: A Tool for Representing and Reasoning withConditional Ceteris Paribus Preference Statements CoRR Craig Boutilier, Ronen I. Brafman, Carmel Domshlak, Holger H. Hoos, David Poole
2011	J	`jnl`	Decision-Theoretic Planning: Structural Assumptions and Computational Leverage CoRR Craig Boutilier, Thomas L. Dean, Steve Hanks
2011	A*	`conf`	Efficiency and Privacy Tradeoffs in Mechanism Design. AAAI Xin Sui, Craig Boutilier
2011	A*	`conf`	Eliciting Additive Reward Functions for Markov Decision Processes. IJCAI Kevin Regan, Craig Boutilier
2011	J	`jnl`	Eliciting Forecasts from Self-interested Experts: Scoring Rules for Decision Makers CoRR Craig Boutilier
2011	—	`conf`	Learning Complex Concepts Using Crowdsourcing: A Bayesian Approach. ADT Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier
2011	A*	`conf`	Learning Mallows Models with Pairwise Preferences. ICML Tyler Lu, Craig Boutilier
2011	J	`jnl`	Partial-Order Planning with Concurrent Interacting Actions CoRR Craig Boutilier, Ronen I. Brafman
2011	B	`conf`	Preference Elicitation and Preference Learning in Social Choice. CPAIOR Craig Boutilier
2011	A*	`conf`	Recommendation Sets and Choice Queries: There Is No Exploration/Exploitation Tradeoff! AAAI Paolo Viappiani, Craig Boutilier
2011	A*	`conf`	Robust Approximation and Incremental Elicitation in Voting Protocols. IJCAI Tyler Lu, Craig Boutilier
2011	A*	`conf`	Robust Online Optimization of Reward-Uncertain MDPs. IJCAI Kevin Regan, Craig Boutilier
2011	—	`conf`	Vote Elicitation with Probabilistic Preference Models: Empirical Estimation and Cost Tradeoffs. ADT Tyler Lu, Craig Boutilier
2010	A*	`conf`	Assessing regret-based preference elicitation with the UTPREF recommendation system. EC Darius Braziunas, Craig Boutilier
2010	A*	`conf`	Automated Channel Abstraction for Advertising Auctions. AAAI William E. Walsh, Craig Boutilier, Tuomas Sandholm, Rob Shields, George L. Nemhauser, David C. Parkes
2010	J	`jnl`	Automated handwashing assistance for persons with dementia using video and a partially observable Markov decision process. Comput. Vis. Image Underst. Jesse Hoey, Pascal Poupart, Axel von Bertoldi, Tammy Craig, Craig Boutilier, Alex Mihailidis
2010	—	`conf`	Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets. NIPS Paolo Viappiani, Craig Boutilier
2010	A*	`conf`	Robust Policy Computation in Reward-Uncertain MDPs Using Nondominated Policies. AAAI Kevin Regan, Craig Boutilier
2010	A*	`conf`	Simultaneous Elicitation of Preference Features and Utility. AAAI Craig Boutilier, Kevin Regan, Paolo Viappiani
2010	A*	`conf`	The unavailable candidate model: a decision-theoretic view of social choice. EC Tyler Lu, Craig Boutilier
2009	A	`conf`	A probabilistic mental model for estimating disruption. IUI Bowen Hui, Grant A. Partridge, Craig Boutilier
2009	A*	`ed.`	IJCAI 2009, Proceedings of the 21st International Joint Conference on Artificial Intelligence, Pasadena, California, USA, July 11-17, 2009 IJCAI Craig Boutilier
2009	A*	`conf`	Online feature elicitation in interactive optimization. ICML Craig Boutilier, Kevin Regan, Paolo Viappiani
2009	—	`conf`	Optimal Set Recommendations Based on Regret. ITWP Paolo Viappiani, Craig Boutilier
2009	J	`jnl`	Practical solution techniques for first-order MDPs. Artif. Intell. Scott Sanner, Craig Boutilier
2009	A	`conf`	Preference elicitation with subjective features. RecSys Craig Boutilier, Kevin Regan, Paolo Viappiani
2009	A	`conf`	Regret-based Reward Elicitation for Markov Decision Processes. UAI Kevin Regan, Craig Boutilier
2009	A	`conf`	Regret-based optimal recommendation sets in conversational recommender systems. RecSys Paolo Viappiani, Craig Boutilier
2008	A*	`conf`	Computing Reserve Prices and Identifying the Value Distribution in Real-world Auctions with Market Disruptions. AAAI William E. Walsh, David C. Parkes, Tuomas Sandholm, Craig Boutilier
2008	J	`jnl`	Elicitation of Factored Utilities. AI Mag. Darius Braziunas, Craig Boutilier
2008	A*	`conf`	Expressive Banner Ad Auctions and Model-Based Online Optimization for Clearing. AAAI Craig Boutilier, David C. Parkes, Tuomas Sandholm, William E. Walsh
2008	J	`jnl`	Intelligent Decision Support in Medicine: Back to Bayes? J. Univers. Comput. Sci. Gitte Lindgaard, Peter Egan, Colin N. Jones, Catherine Pyper, Monique Frize, Robin C. Walker, Craig Boutilier, Bowen Hui, Sheila Narasimhan, Janette Folkens, Bill Winogron
2008	—	`conf`	Sequential decision making in repeated coalition formation under uncertainty. AAMAS (1) Georgios Chalkiadakis, Craig Boutilier
2008	B	`conf`	The need for an interaction cost model in adaptive interfaces. AVI Bowen Hui, Sean Gustafson, Pourang Irani, Craig Boutilier
2008	A	`conf`	Toward Experiential Utility Elicitation for Interface Customization. UAI Bowen Hui, Craig Boutilier
2007	A*	`conf`	Approximate Solution Techniques for Factored First-Order MDPs. ICAPS Scott Sanner, Craig Boutilier
2007	A*	`conf`	Automated Design of Multistage Mechanisms. IJCAI Tuomas Sandholm, Vincent Conitzer, Craig Boutilier
2007	A	`conf`	Coalition formation under uncertainty: bargaining equilibria and the Bayesian core stability concept. AAMAS Georgios Chalkiadakis, Evangelos Markakis, Craig Boutilier
2007	A*	`conf`	Coalitional Bargaining with Agent Type Uncertainty. IJCAI Georgios Chalkiadakis, Craig Boutilier
2007	A*	`conf`	Computing Optimal Subsets. AAAI Maxim Binshtok, Ronen I. Brafman, Solomon Eyal Shimony, Ajay Mani, Craig Boutilier
2007	A*	`conf`	Mechanism Design with Partial Revelation. IJCAI Nathanael Hyafil, Craig Boutilier
2007	A	`conf`	Minimax regret based elicitation of generalized additive utilities. UAI Darius Braziunas, Craig Boutilier
2007	A*	`conf`	Partial Revelation Automated Mechanism Design. AAAI Nathanael Hyafil, Craig Boutilier
2006	J	`jnl`	A Planning System Based on Markov Decision Processes to Guide People With Dementia Through Activities of Daily Living. IEEE Trans. Inf. Technol. Biomed. Jennifer Boger, Jesse Hoey, Pascal Poupart, Craig Boutilier, Geoff R. Fernie, Alex Mihailidis
2006	J	`jnl`	Constraint-based optimization and utility elicitation using the minimax decision criterion. Artif. Intell. Craig Boutilier, Relu Patrascu, Pascal Poupart, Dale Schuurmans
2006	A	`conf`	Practical Linear Value-approximation Techniques for First-order MDPs. UAI Scott Sanner, Craig Boutilier
2006	A*	`conf`	Preference Elicitation and Generalized Additive Utility. AAAI Darius Braziunas, Craig Boutilier
2006	A*	`conf`	Regret-based Incremental Partial Revelation Mechanisms. AAAI Nathanael Hyafil, Craig Boutilier
2006	A	`conf`	Who's asking for help?: a Bayesian approach to intelligent assistance. IUI Bowen Hui, Craig Boutilier
2005	A*	`conf`	A Decision-Theoretic Approach to Task Assistance for Persons with Dementia. IJCAI Jennifer Boger, Pascal Poupart, Jesse Hoey, Craig Boutilier, Geoff R. Fernie, Alex Mihailidis
2005	A	`conf`	Approximate Linear Programming for First-order MDPs. UAI Scott Sanner, Craig Boutilier
2005	A	`conf`	Local Utility Elicitation in GAI Models. UAI Darius Braziunas, Craig Boutilier
2005	A*	`conf`	New Approaches to Optimization and Utility Elicitation in Autonomic Computing. AAAI Relu Patrascu, Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh
2005	—	`conf`	POMDP Models for Assistive Technology. AAAI Fall Symposium: Caring Machines Jesse Hoey, Pascal Poupart, Craig Boutilier, Alex Mihailidis
2005	A*	`conf`	Regret-based Utility Elicitation in Constraint-based Decision Problems. IJCAI Craig Boutilier, Relu Patrascu, Pascal Poupart, Dale Schuurmans
2005	J	`jnl`	The Influence of Influence Diagrams on Artificial Intelligence. Decis. Anal. Craig Boutilier
2004	A	`conf`	A Study of Limited-Precision, Incremental Elicitation in Auctions. AAMAS Alexander Kress, Craig Boutilier
2004	A	`conf`	Bayesian Reinforcement Learning for Coalition Formation under Uncertainty. AAMAS Georgios Chalkiadakis, Craig Boutilier
2004	J	`jnl`	CP-nets: A Tool for Representing and Reasoning with Conditional Ceteris Paribus Preference Statements. J. Artif. Intell. Res. Craig Boutilier, Ronen I. Brafman, Carmel Domshlak, Holger H. Hoos, David Poole
2004	A*	`conf`	Eliciting Bid Taker Non-price Preferences in (Combinatorial) Auctions. AAAI Craig Boutilier, Tuomas Sandholm, Rob Shields
2004	J	`jnl`	Preference-Based Constrained Optimization with CP-Nets. Comput. Intell. Craig Boutilier, Ronen I. Brafman, Carmel Domshlak, Holger H. Hoos, David Poole
2004	A	`conf`	Regret Minimizing Equilibria and Mechanisms for Games with Strict Type Uncertainty. UAI Nathanael Hyafil, Craig Boutilier
2004	A*	`conf`	Stochastic Local Search for POMDP Controllers. AAAI Darius Braziunas, Craig Boutilier
2004	—	`conf`	VDCBPI: an Approximate Scalable Algorithm for Large POMDPs. NIPS Pascal Poupart, Craig Boutilier
2003	A*	`conf`	A Bayesian Approach to Imitation in Reinforcement Learning. IJCAI Bob Price, Craig Boutilier
2003	J	`jnl`	Accelerating Reinforcement Learning through Implicit Imitation. J. Artif. Intell. Res. Bob Price, Craig Boutilier
2003	A	`conf`	Active Collaborative Filtering. UAI Craig Boutilier, Richard S. Zemel, Benjamin M. Marlin
2003	A	`conf`	An Active Approach to Collaborative Filtering. AISTATS Richard S. Zemel, Craig Boutilier
2003	—	`conf`	Bounded Finite State Controllers. NIPS Pascal Poupart, Craig Boutilier
2003	A	`conf`	Constraint-Based Optimization with the Minimax Decision Criterion. CP Craig Boutilier, Relu Patrascu, Pascal Poupart, Dale Schuurmans
2003	A	`conf`	Cooperative Negotiation in Autonomic Systems using Incremental Utility Elicitation. UAI Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh
2003	A	`conf`	Coordination in multiagent reinforcement learning: a Bayesian approach. AAMAS Georgios Chalkiadakis, Craig Boutilier
2003	A*	`conf`	Incremental Utility Elicitation with the Minimax Regret Decision Criterion. IJCAI Tianhan Wang, Craig Boutilier
2003	A*	`conf`	On the Foundations of Expected Expected Utility. IJCAI Craig Boutilier
2003	A*	`conf`	Towards Cooperative Negotiation for Decentralized Resource Allocation in Autonomic Computing Systems. IJCAI Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, William E. Walsh
2002	—	`conf`	A POMDP Formulation of Preference Elicitation Problems. AAAI/IAAI Craig Boutilier
2002	—	`conf`	Greedy Linear Value-Approximation for Factored Markov Decision Processes. AAAI/IAAI Relu Patrascu, Pascal Poupart, Dale Schuurmans, Craig Boutilier, Carlos Guestrin
2002	—	`conf`	Piecewise Linear Value Function Approximation for Factored MDPs. AAAI/IAAI Pascal Poupart, Craig Boutilier, Relu Patrascu, Dale Schuurmans
2002	—	`conf`	Solving Concisely Expressed Combinatorial Auction Problems. AAAI/IAAI Craig Boutilier
2002	—	`conf`	Value-Directed Compression of POMDPs. NIPS Pascal Poupart, Craig Boutilier
2001	A*	`conf`	Bidding Languages for Combinatorial Auctions. IJCAI Craig Boutilier, Holger H. Hoos
2001	Misc	`conf`	Imitation and Reinforcement Learning in Agents with Heterogeneous Actions. AI Bob Price, Craig Boutilier
2001	J	`jnl`	Partial-Order Planning with Concurrent Interacting Actions. J. Artif. Intell. Res. Craig Boutilier, Ronen I. Brafman
2001	A*	`conf`	Symbolic Dynamic Programming for First-Order MDPs. IJCAI Craig Boutilier, Raymond Reiter, Bob Price
2001	A	`conf`	UCP-Networks: A Directed Graphical Representation of Conditional Utilities. UAI Craig Boutilier, Fahiem Bacchus, Ronen I. Brafman
2001	A	`conf`	Value-Directed Sampling Methods for POMDPs. UAI Pascal Poupart, Luis E. Ortiz, Craig Boutilier
2001	A	`conf`	Vector-space Analysis of Belief-state Approximation for POMDPs. UAI Pascal Poupart, Craig Boutilier
2000	—	`conf`	APRICODD: Approximate Policy Construction Using Decision Diagrams. NIPS Robert St-Aubin, Jesse Hoey, Craig Boutilier
2000	A	`conf`	Approximately Optimal Monitoring of Plan Preconditions. UAI Craig Boutilier
2000	—	`conf`	Decision Making under Uncertainty: Operations Research Meets AI (Again). AAAI/IAAI Craig Boutilier
2000	—	`conf`	Decision-Theoretic, High-Level Agent Programming in the Situation Calculus. AAAI/IAAI Craig Boutilier, Raymond Reiter, Mikhail Soutchanski, Sebastian Thrun
2000	—	`conf`	Solving Combinatorial Auctions Using Stochastic Local Search. AAAI/IAAI Holger H. Hoos, Craig Boutilier
2000	J	`jnl`	Stochastic dynamic programming with factored representations. Artif. Intell. Craig Boutilier, Richard Dearden, Moisés Goldszmidt
2000	A	`ed.`	UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30 - July 3, 2000 UAI Craig Boutilier, Moisés Goldszmidt
2000	A	`conf`	Value-Directed Belief State Approximation for POMDPs. UAI Pascal Poupart, Craig Boutilier
1999	A	`conf`	Continuous Value Function Approximation for Sequential Bidding Policies. UAI Craig Boutilier, Moisés Goldszmidt, Bikash Sabata
1999	J	`jnl`	Decision-Theoretic Planning: Structural Assumptions and Computational Leverage. J. Artif. Intell. Res. Craig Boutilier, Thomas L. Dean, Steve Hanks
1999	A*	`conf`	Implicit Imitation in Multiagent Reinforcement Learning. ICML Bob Price, Craig Boutilier
1999	—	`ch.`	Knowledge Representation for Stochastic Decision Process. Artificial Intelligence Today Craig Boutilier
1999	J	`jnl`	Multiagent Systems: Challenges and Opportunities for Decision-Theoretic Planning. AI Mag. Craig Boutilier
1999	A	`conf`	Reasoning With Conditional Ceteris Paribus Preference Statements. UAI Craig Boutilier, Ronen I. Brafman, Holger H. Hoos, David Poole
1999	—	`conf`	Resource Allocation Using Sequential Auctions. Agent Mediated Electronic Commerce (IJCAI Workshop) Craig Boutilier, Moisés Goldszmidt, Claire Monteleoni, Bikash Sabata
1999	A	`conf`	SPUDD: Stochastic Planning using Decision Diagrams. UAI Jesse Hoey, Robert St-Aubin, Alan J. Hu, Craig Boutilier
1999	A*	`conf`	Sequential Auctions for the Allocation of Resources with Complementarities. IJCAI Craig Boutilier, Moisés Goldszmidt, Bikash Sabata
1999	A*	`conf`	Sequential Optimality and Coordination in Multiagent Systems. IJCAI Craig Boutilier
1998	J	`jnl`	A Unified Model of Qualitative Belief Change: A Dynamical Systems Perspective. Artif. Intell. Craig Boutilier
1998	—	`conf`	Belief Revision with Unreliable Observations. AAAI/IAAI Craig Boutilier, Nir Friedman, Joseph Y. Halpern
1998	A	`conf`	Hierarchical Solution of Markov Decision Processes using Macro-actions. UAI Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier
1998	—	`conf`	Solving Very Large Weakly Coupled Markov Decision Processes. AAAI/IAAI Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, Leonid Peshkin, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier
1998	A	`conf`	Structured Reachability Analysis for Markov Decision Processes. UAI Craig Boutilier, Ronen I. Brafman, Christopher W. Geib
1998	—	`conf`	The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems. AAAI/IAAI Caroline Claus, Craig Boutilier
1997	J	`jnl`	Abstraction and Approximate Decision-Theoretic Planning. Artif. Intell. Richard Dearden, Craig Boutilier
1997	A	`conf`	Correlated Action Effects in Decision Theoretic Regression. UAI Craig Boutilier
1997	J	`jnl`	Economic Principles of Multi-Agent Systems. Artif. Intell. Craig Boutilier, Yoav Shoham, Michael P. Wellman
1997	—	`conf`	Planning with Concurrent Interacting Actions. AAAI/IAAI Craig Boutilier, Ronen I. Brafman
1997	—	`conf`	Prioritized Goal Decomposition of Markov Decision Processes: Toward a Synthesis of Classical and Decision Theoretic Planning. IJCAI Craig Boutilier, Ronen I. Brafman, Christopher W. Geib
1997	A	`conf`	Structured Arc Reversal and Simulation of Dynamic Probabilistic Networks. UAI Adrian Y. W. Cheuk, Craig Boutilier
1997	—	`conf`	Structured Solution Methods for Non-Markovian Decision Processes. AAAI/IAAI Fahiem Bacchus, Craig Boutilier, Adam J. Grove
1996	J	`jnl`	Abduction to Plausible Causes: An Event-Based model of Belief Update. Artif. Intell. Craig Boutilier
1996	A*	`conf`	Approximate Value Trees in Structured Dynamic Programming. ICML Craig Boutilier, Richard Dearden
1996	—	`conf`	Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations. AAAI/IAAI, Vol. 2 Craig Boutilier, David Poole
1996	A	`conf`	Context-Specific Independence in Bayesian Networks. UAI Craig Boutilier, Nir Friedman, Moisés Goldszmidt, Daphne Koller
1996	J	`jnl`	Iterated revision and minimal change of conditional beliefs. J. Philos. Log. Craig Boutilier
1996	A	`conf`	Learning Conventions in Multiagent Stochastic Domains using Likelihood Estimates. UAI Craig Boutilier
1996	B	`conf`	Planning, Learning and Coordination in Multiagent Decision Processes. TARK Craig Boutilier
1996	—	`conf`	Rewarding Behaviors. AAAI/IAAI, Vol. 2 Fahiem Bacchus, Craig Boutilier, Adam J. Grove
1996	Misc	`conf`	The Frame Problem and Bayesian Network Action Representation. AI Craig Boutilier, Moisés Goldszmidt
1995	J	`jnl`	Abduction as Belief Revision. Artif. Intell. Craig Boutilier, Verónica Becher
1995	A*	`conf`	Exploiting Structure in Policy Construction. IJCAI Craig Boutilier, Richard Dearden, Moisés Goldszmidt
1995	A*	`conf`	Generalized Update: Belief Change in Dynamic Settings. IJCAI Craig Boutilier
1995	J	`jnl`	On the Revision of Probabilistic Belief States. Notre Dame J. Formal Log. Craig Boutilier
1995	A*	`conf`	Process-Oriented Planning and Average-Reward Optimality. IJCAI Craig Boutilier, Martin L. Puterman
1994	J	`jnl`	Believing on the Basis of Qualitative Rules: Commentary on Kyburg. Comput. Intell. Craig Boutilier
1994	J	`jnl`	Conditional Logics of Normality: A Modal Approach. Artif. Intell. Craig Boutilier
1994	A	`conf`	Integrating Planning and Execution in Stochastic Domains. UAI Richard Dearden, Craig Boutilier
1994	J	`jnl`	Modal logics for qualitative possibility theory. Int. J. Approx. Reason. Craig Boutilier
1994	A*	`conf`	Toward a Logic for Qualitative Decision Theory. KR Craig Boutilier
1994	J	`jnl`	Unifying Default Reasoning and Belief Revision in a Modal Framework. Artif. Intell. Craig Boutilier
1994	A*	`conf`	Using Abstractions for Decision-Theoretic Planning with Time Constraints. AAAI Craig Boutilier, Richard Dearden
1993	A*	`conf`	Abduction As Belief Revision: A Model of Preferred Explanations. AAAI Craig Boutilier, Verónica Becher
1993	J	`jnl`	On the Semantics of Stable Inheritance Reasoning. Comput. Intell. Craig Boutilier
1993	A*	`conf`	Revision Sequences and Nested Conditionals. IJCAI Craig Boutilier
1993	A*	`conf`	Revision by Conditional Beliefs. AAAI Craig Boutilier, Moisés Goldszmidt
1993	A	`conf`	The Probability of a Possibility: Adding Uncertainty to Default Rules. UAI Craig Boutilier
1992	A*	`conf`	A Logic for Revision and Subjunctive Queries. AAAI Craig Boutilier
1992	—	`—`	Conditional logics for default reasoning and belief revision. Craig Boutilier
1992	J	`jnl`	Epistemic Entrenchment in autoepistemic logic. Fundam. Informaticae Craig Boutilier
1992	A	`conf`	Modal Logics for Qualitative Possibility and Beliefs. UAI Craig Boutilier
1992	—	`conf`	Normative, Subjunctive and Autoepistemic Defaults. ECAI Workshop on Knowledge Representation and Reasoning Craig Boutilier
1992	A*	`conf`	Normative, Subjunctive, and Autoepistemic Defaults: Adopting the Ramsey Test. KR Craig Boutilier
1991	A*	`conf`	Inaccessible Worlds and Irrelevance: Preliminary Report. IJCAI Craig Boutilier
1990	A*	`conf`	Conditional Logics of Normality as Modal Systems. AAAI Craig Boutilier
1989	A*	`conf`	A Semantical Approach to Stable Inheritance Reasoning. IJCAI Craig Boutilier