Craig Boutilier

Most-cited papers

CP-nets: A Tool for Representing and Reasoning withConditional Ceteris Paribus Preference Statements
Craig Boutilier, R. Brafman, C. Domshlak, H. Hoos +1 more
2011Journal of Artificial Intelligence Research958 citations Open access
Semantic Scholar
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models
Ying Fan, Olivia Watkins, Yu-Qing Du, Hao Liu +6 more
2023Neural Information Processing Systems549 citations Open access
Semantic Scholar
Aligning Text-to-Image Models using Human Feedback
Kimin Lee, Hao Liu, M. Ryu, Olivia Watkins +5 more
2023arXiv.org497 citations Open access
Semantic Scholar
Optimal social choice functions: a utilitarian view
Craig Boutilier, I. Caragiannis, Simi Haber, Tyler Lu +2 more
2012ACM Conference on Economics and Computation228 citations Open access
Semantic Scholar
RecSim: A Configurable Simulation Platform for Recommender Systems
Eugene Ie, Chih-Wei Hsu, M. Mladenov, Vihan Jain +4 more
2019arXiv.org227 citations
Semantic Scholar
Budgeted Social Choice: From Consensus to Personalized Decision Making
Tyler Lu, Craig Boutilier
2011International Joint Conference on Artificial Intelligence222 citations
Semantic Scholar
Data center cooling using model-predictive control
Nevena Lazic, Craig Boutilier, Tyler Lu, Eehern Wong +3 more
2018Neural Information Processing Systems210 citations
Semantic Scholar
Learning Mallows Models with Pairwise Preferences
Tyler Lu, Craig Boutilier
2011International Conference on Machine Learning205 citations
Semantic Scholar
SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets
Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar +5 more
2019International Joint Conference on Artificial Intelligence194 citations Open access
Semantic Scholar
Building Human Values into Recommender Systems: An Interdisciplinary Synthesis
J. Stray, A. Halevy, Parisa Assar, Dylan Hadfield-Menell +18 more
2022Trans. Recomm. Syst.152 citations Open access
Semantic Scholar
Partial-Order Planning with Concurrent Interacting Actions
Craig Boutilier, R. Brafman
2011Journal of Artificial Intelligence Research148 citations Open access
Semantic Scholar
Robust Approximation and Incremental Elicitation in Voting Protocols
Tyler Lu, Craig Boutilier
2011International Joint Conference on Artificial Intelligence140 citations
Semantic Scholar
Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report
Michael L. Littman, Ifeoma Ajunwa, G. Berger, Craig Boutilier +13 more
2022arXiv.org133 citations Open access
Semantic Scholar
Seq2Slate: Re-ranking and Slate Optimization with RNNs
Irwan Bello, Sayali Kulkarni, Sagar Jain, Craig Boutilier +5 more
2018arXiv.org123 citations
Semantic Scholar
Effective sampling and learning for mallows models with pairwise-preference data
Tyler Lu, Craig Boutilier
2014Journal of machine learning research118 citations
Semantic Scholar
Randomized Exploration in Generalized Linear Bandits
Branislav Kveton, M. Zaheer, Csaba Szepesvari, Lihong Li +2 more
2019International Conference on Artificial Intelligence and Statistics115 citations
Semantic Scholar
Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology
Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar +9 more
2019arXiv.org84 citations
Semantic Scholar
Meta-Thompson Sampling
Branislav Kveton, Mikhail Konobeev, M. Zaheer, Chih-Wei Hsu +3 more
2021International Conference on Machine Learning80 citations
Semantic Scholar
Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach
M. Mladenov, Elliot Creager, Omer Ben-Porat, Kevin Swersky +2 more
2020International Conference on Machine Learning76 citations
Semantic Scholar
Budget Allocation using Weakly Coupled, Constrained Markov Decision Processes
Craig Boutilier, Tyler Lu
2016Conference on Uncertainty in Artificial Intelligence72 citations
Semantic Scholar
People, sensors, decisions: Customizable and adaptive technologies for assistance in healthcare
J. Hoey, Craig Boutilier, P. Poupart, P. Olivier +2 more
2012TIIS72 citations
Semantic Scholar
Preference-oriented Social Networks: Group Recommendation and Inference
A. Salehi-Abari, Craig Boutilier
2015ACM Conference on Recommender Systems70 citations
Semantic Scholar
A Framework for Optimizing Paper Matching
Laurent Charlin, R. Zemel, Craig Boutilier
2011Conference on Uncertainty in Artificial Intelligence70 citations
Semantic Scholar
Incomplete Information and Communication in Voting
Craig Boutilier, J. Rosenschein
2016Handbook of Computational Social Choice60 citations
Semantic Scholar
Latent Bandits Revisited
Joey Hong, Branislav Kveton, M. Zaheer, Yinlam Chow +2 more
2020Neural Information Processing Systems56 citations
Semantic Scholar
CAQL: Continuous Action Q-Learning
M. Ryu, Yinlam Chow, Ross Anderson, Christian Tjandraatmadja +1 more
2019International Conference on Learning Representations53 citations
Semantic Scholar
Non-delusional Q-learning and value-iteration
Tyler Lu, Dale Schuurmans, Craig Boutilier
2018Neural Information Processing Systems51 citations
Semantic Scholar
Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty
T. Nguyen, A. Yadav, Bo An, Milind Tambe +1 more
2014AAAI Conference on Artificial Intelligence51 citations Open access
Semantic Scholar
Perturbed-History Exploration in Stochastic Linear Bandits
Branislav Kveton, Csaba Szepesvari, M. Ghavamzadeh, Craig Boutilier
2019Conference on Uncertainty in Artificial Intelligence50 citations
Semantic Scholar
RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
M. Mladenov, Chih-Wei Hsu, Vihan Jain, Eugene Ie +6 more
2021arXiv.org48 citations
Semantic Scholar
Empathetic social choice on social networks
A. Salehi-Abari, Craig Boutilier
2014Adaptive Agents and Multi-Agent Systems47 citations
Semantic Scholar
Eliciting forecasts from self-interested experts: scoring rules for decision makers
Craig Boutilier
2011Adaptive Agents and Multi-Agent Systems45 citations
Semantic Scholar
Preference Elicitation and Interview Minimization in Stable Matchings
Joanna Drummond, Craig Boutilier
2014AAAI Conference on Artificial Intelligence40 citations Open access
Semantic Scholar
Vote Elicitation with Probabilistic Preference Models: Empirical Estimation and Cost Tradeoffs
Tyler Lu, Craig Boutilier
2011Algorithmic Decision Theory38 citations
Semantic Scholar
Eliciting Additive Reward Functions for Markov Decision Processes
K. Regan, Craig Boutilier
2011International Joint Conference on Artificial Intelligence36 citations
Semantic Scholar
Computational Decision Support: Regret-based Models for Optimization and Preference Elicitation
Craig Boutilier
201234 citations Open access
Semantic Scholar
Value-Directed Compression of Large-Scale Assignment Problems
Tyler Lu, Craig Boutilier
2015AAAI Conference on Artificial Intelligence33 citations Open access
Semantic Scholar
Perturbed-History Exploration in Stochastic Multi-Armed Bandits
Branislav Kveton, Csaba Szepesvari, M. Ghavamzadeh, Craig Boutilier
2019International Joint Conference on Artificial Intelligence32 citations Open access
Semantic Scholar
Empathetic decision making in social networks
A. Salehi-Abari, Craig Boutilier, K. Larson
2019Artificial Intelligence32 citations Open access
Semantic Scholar
Gradient-based Optimization for Bayesian Preference Elicitation
Ivan Vendrov, Tyler Lu, Qing-Qing Huang, Craig Boutilier
2019AAAI Conference on Artificial Intelligence31 citations Open access
Semantic Scholar
Approximately Strategy-proof Mechanisms for (Constrained) Facility Location
Xin Sui, Craig Boutilier
2015Adaptive Agents and Multi-Agent Systems31 citations
Semantic Scholar
The unavailable candidate model: a decision-theoretic view of social choice
Tyler Lu, Craig Boutilier
2010ACM Conference on Economics and Computation31 citations
Semantic Scholar
Simultaneous Elicitation of Preference Features and Utility
Craig Boutilier, K. Regan, P. Viappiani
2010AAAI Conference on Artificial Intelligence31 citations Open access
Semantic Scholar
Robust Online Optimization of Reward-Uncertain MDPs
K. Regan, Craig Boutilier
2011International Joint Conference on Artificial Intelligence29 citations
Semantic Scholar
Planning and Learning with Stochastic Action Sets
Craig Boutilier, Alon Cohen, Amit Daniely, A. Hassidim +4 more
2018International Joint Conference on Artificial Intelligence27 citations Open access
Semantic Scholar
Automated Channel Abstraction for Advertising Auctions
W. Walsh, Craig Boutilier, T. Sandholm, R. Shields +2 more
2010AAAI Conference on Artificial Intelligence25 citations Open access
Semantic Scholar
Differentiable Meta-Learning of Bandit Policies
Craig Boutilier, Chih-Wei Hsu, Branislav Kveton, M. Mladenov +2 more
2020Neural Information Processing Systems23 citations
Semantic Scholar
A Mixture-of-Expert Approach to RL-based Dialogue Management
Yinlam Chow, Azamat Tulepbergenov, Ofir Nachum, Dhawal Gupta +3 more
2022International Conference on Learning Representations22 citations Open access
Semantic Scholar
Demonstrating Principled Uncertainty Modeling for Recommender Ecosystems with RecSim NG
M. Mladenov, Chih-Wei Hsu, Vihan Jain, Eugene Ie +6 more
2020ACM Conference on Recommender Systems22 citations
Semantic Scholar
Matching models for preference-sensitive group purchasing
Tyler Lu, Craig Boutilier
2012ACM Conference on Economics and Computation22 citations
Semantic Scholar