A Semantical Approach to Stable Inheritance Reasoning. - Craig Boutilier (IJCAI, 1989)

Conditional Logics of Normality as Modal Systems. - Craig Boutilier (AAAI, 1990)

Inaccessible Worlds and Irrelevance: Preliminary Report. - Craig Boutilier (IJCAI, 1991)

A Logic for Revision and Subjunctive Queries. - Craig Boutilier (AAAI, 1992)

Normative, Subjunctive and Autoepistemic Defaults. - Craig Boutilier (ECAI Workshop on Knowledge Representation and Reasoning, 1992)

Normative, Subjunctive, and Autoepistemic Defaults: Adopting the Ramsey Test. - Craig Boutilier (KR, 1992)

Modal Logics for Qualitative Possibility and Beliefs. - Craig Boutilier (UAI, 1992)

Epistemic Entrenchment in autoepistemic logic. - Craig Boutilier (Fundam. Informaticae, 1992)

Conditional logics for default reasoning and belief revision. - Craig Boutilier (1992)

Abduction As Belief Revision: A Model of Preferred Explanations. - Craig Boutilier; Verónica Becher (AAAI, 1993)

Revision by Conditional Beliefs. - Craig Boutilier; Moisés Goldszmidt (AAAI, 1993)

Revision Sequences and Nested Conditionals. - Craig Boutilier (IJCAI, 1993)

The Probability of a Possibility: Adding Uncertainty to Default Rules. - Craig Boutilier (UAI, 1993)

On the Semantics of Stable Inheritance Reasoning. - Craig Boutilier (Comput. Intell., 1993)

Using Abstractions for Decision-Theoretic Planning with Time Constraints. - Craig Boutilier; Richard Dearden (AAAI, 1994)

Toward a Logic for Qualitative Decision Theory. - Craig Boutilier (KR, 1994)

Integrating Planning and Execution in Stochastic Domains. - Richard Dearden; Craig Boutilier (UAI, 1994)

Unifying Default Reasoning and Belief Revision in a Modal Framework. - Craig Boutilier (Artif. Intell., 1994)

Conditional Logics of Normality: A Modal Approach. - Craig Boutilier (Artif. Intell., 1994)

Believing on the Basis of Qualitative Rules: Commentary on Kyburg. - Craig Boutilier (Comput. Intell., 1994)

Modal logics for qualitative possibility theory. - Craig Boutilier (Int. J. Approx. Reason., 1994)

Generalized Update: Belief Change in Dynamic Settings. - Craig Boutilier (IJCAI, 1995)

Exploiting Structure in Policy Construction. - Craig Boutilier; Richard Dearden; Moisés Goldszmidt (IJCAI, 1995)

Process-Oriented Planning and Average-Reward Optimality. - Craig Boutilier; Martin L. Puterman (IJCAI, 1995)

Abduction as Belief Revision. - Craig Boutilier; Verónica Becher (Artif. Intell., 1995)

On the Revision of Probabilistic Belief States. - Craig Boutilier (Notre Dame J. Formal Log., 1995)

Rewarding Behaviors. - Fahiem Bacchus; Craig Boutilier; Adam J. Grove (AAAI/IAAI, Vol. 2, 1996)

Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations. - Craig Boutilier; David Poole 001 (AAAI/IAAI, Vol. 2, 1996)

The Frame Problem and Bayesian Network Action Representation. - Craig Boutilier; Moisés Goldszmidt (AI, 1996)

Approximate Value Trees in Structured Dynamic Programming. - Craig Boutilier; Richard Dearden (ICML, 1996)

Planning, Learning and Coordination in Multiagent Decision Processes. - Craig Boutilier (TARK, 1996)

Learning Conventions in Multiagent Stochastic Domains using Likelihood Estimates. - Craig Boutilier (UAI, 1996)

Context-Specific Independence in Bayesian Networks. - Craig Boutilier; Nir Friedman; Moisés Goldszmidt; Daphne Koller (UAI, 1996)

Abduction to Plausible Causes: An Event-Based model of Belief Update. - Craig Boutilier (Artif. Intell., 1996)

Iterated revision and minimal change of conditional beliefs. - Craig Boutilier (J. Philos. Log., 1996)

Structured Solution Methods for Non-Markovian Decision Processes. - Fahiem Bacchus; Craig Boutilier; Adam J. Grove (AAAI/IAAI, 1997)

Planning with Concurrent Interacting Actions. - Craig Boutilier; Ronen I. Brafman (AAAI/IAAI, 1997)

Prioritized Goal Decomposition of Markov Decision Processes: Toward a Synthesis of Classical and Decision Theoretic Planning. - Craig Boutilier; Ronen I. Brafman; Christopher W. Geib (IJCAI, 1997)

Correlated Action Effects in Decision Theoretic Regression. - Craig Boutilier (UAI, 1997)

Structured Arc Reversal and Simulation of Dynamic Probabilistic Networks. - Adrian Y. W. Cheuk; Craig Boutilier (UAI, 1997)

Economic Principles of Multi-Agent Systems. - Craig Boutilier; Yoav Shoham; Michael P. Wellman (Artif. Intell., 1997)

Abstraction and Approximate Decision-Theoretic Planning. - Richard Dearden; Craig Boutilier (Artif. Intell., 1997)

Belief Revision with Unreliable Observations. - Craig Boutilier; Nir Friedman; Joseph Y. Halpern (AAAI/IAAI, 1998)

The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems. - Caroline Claus; Craig Boutilier (AAAI/IAAI, 1998)

Solving Very Large Weakly Coupled Markov Decision Processes. - Nicolas Meuleau; Milos Hauskrecht; Kee-Eung Kim; Leonid Peshkin; Leslie Pack Kaelbling; Thomas L. Dean; Craig Boutilier (AAAI/IAAI, 1998)

Structured Reachability Analysis for Markov Decision Processes. - Craig Boutilier; Ronen I. Brafman; Christopher W. Geib (UAI, 1998)

Hierarchical Solution of Markov Decision Processes using Macro-actions. - Milos Hauskrecht; Nicolas Meuleau; Leslie Pack Kaelbling; Thomas L. Dean; Craig Boutilier (UAI, 1998)

A Unified Model of Qualitative Belief Change: A Dynamical Systems Perspective. - Craig Boutilier (Artif. Intell., 1998)

Knowledge Representation for Stochastic Decision Process. - Craig Boutilier (Artificial Intelligence Today, 1999)

Implicit Imitation in Multiagent Reinforcement Learning. - Bob Price; Craig Boutilier (ICML, 1999)

Sequential Optimality and Coordination in Multiagent Systems. - Craig Boutilier (IJCAI, 1999)

Resource Allocation Using Sequential Auctions. - Craig Boutilier; Moisés Goldszmidt; Claire Monteleoni; Bikash Sabata (Agent Mediated Electronic Commerce (IJCAI Workshop), 1999)

Sequential Auctions for the Allocation of Resources with Complementarities. - Craig Boutilier; Moisés Goldszmidt; Bikash Sabata (IJCAI, 1999)

Reasoning With Conditional Ceteris Paribus Preference Statements. - Craig Boutilier; Ronen I. Brafman; Holger H. Hoos; David Poole 001 (UAI, 1999)

Continuous Value Function Approximation for Sequential Bidding Policies. - Craig Boutilier; Moisés Goldszmidt; Bikash Sabata (UAI, 1999)

SPUDD: Stochastic Planning using Decision Diagrams. - Jesse Hoey; Robert St-Aubin; Alan J. Hu; Craig Boutilier (UAI, 1999)

Multiagent Systems: Challenges and Opportunities for Decision-Theoretic Planning. - Craig Boutilier (AI Mag., 1999)

Decision-Theoretic Planning: Structural Assumptions and Computational Leverage. - Craig Boutilier; Thomas L. Dean; Steve Hanks (J. Artif. Intell. Res., 1999)

Decision Making under Uncertainty: Operations Research Meets AI (Again). - Craig Boutilier (AAAI/IAAI, 2000)

Decision-Theoretic, High-Level Agent Programming in the Situation Calculus. - Craig Boutilier; Raymond Reiter; Mikhail Soutchanski; Sebastian Thrun (AAAI/IAAI, 2000)

Solving Combinatorial Auctions Using Stochastic Local Search. - Holger H. Hoos; Craig Boutilier (AAAI/IAAI, 2000)

APRICODD: Approximate Policy Construction Using Decision Diagrams. - Robert St-Aubin; Jesse Hoey; Craig Boutilier (NIPS, 2000)

Approximately Optimal Monitoring of Plan Preconditions. - Craig Boutilier (UAI, 2000)

Value-Directed Belief State Approximation for POMDPs. - Pascal Poupart; Craig Boutilier (UAI, 2000)

Stochastic dynamic programming with factored representations. - Craig Boutilier; Richard Dearden; Moisés Goldszmidt (Artif. Intell., 2000)

Imitation and Reinforcement Learning in Agents with Heterogeneous Actions. - Bob Price; Craig Boutilier (AI, 2001)

Bidding Languages for Combinatorial Auctions. - Craig Boutilier; Holger H. Hoos (IJCAI, 2001)

Symbolic Dynamic Programming for First-Order MDPs. - Craig Boutilier; Raymond Reiter; Bob Price (IJCAI, 2001)

UCP-Networks: A Directed Graphical Representation of Conditional Utilities. - Craig Boutilier; Fahiem Bacchus; Ronen I. Brafman (UAI, 2001)

Vector-space Analysis of Belief-state Approximation for POMDPs. - Pascal Poupart; Craig Boutilier (UAI, 2001)

Value-Directed Sampling Methods for POMDPs. - Pascal Poupart; Luis E. Ortiz; Craig Boutilier (UAI, 2001)

Partial-Order Planning with Concurrent Interacting Actions. - Craig Boutilier; Ronen I. Brafman (J. Artif. Intell. Res., 2001)

A POMDP Formulation of Preference Elicitation Problems. - Craig Boutilier (AAAI/IAAI, 2002)

Solving Concisely Expressed Combinatorial Auction Problems. - Craig Boutilier (AAAI/IAAI, 2002)

Greedy Linear Value-Approximation for Factored Markov Decision Processes. - Relu Patrascu; Pascal Poupart; Dale Schuurmans; Craig Boutilier; Carlos Guestrin (AAAI/IAAI, 2002)

Piecewise Linear Value Function Approximation for Factored MDPs. - Pascal Poupart; Craig Boutilier; Relu Patrascu; Dale Schuurmans (AAAI/IAAI, 2002)

Value-Directed Compression of POMDPs. - Pascal Poupart; Craig Boutilier (NIPS, 2002)

An Active Approach to Collaborative Filtering. - Richard S. Zemel; Craig Boutilier (AISTATS, 2003)

Coordination in multiagent reinforcement learning: a Bayesian approach. - Georgios Chalkiadakis; Craig Boutilier (AAMAS, 2003)

Constraint-Based Optimization with the Minimax Decision Criterion. - Craig Boutilier; Relu Patrascu; Pascal Poupart; Dale Schuurmans (CP, 2003)

On the Foundations of Expected Expected Utility. - Craig Boutilier (IJCAI, 2003)

Towards Cooperative Negotiation for Decentralized Resource Allocation in Autonomic Computing Systems. - Craig Boutilier; Rajarshi Das; Jeffrey O. Kephart; William E. Walsh (IJCAI, 2003)

A Bayesian Approach to Imitation in Reinforcement Learning. - Bob Price; Craig Boutilier (IJCAI, 2003)

Incremental Utility Elicitation with the Minimax Regret Decision Criterion. - Tianhan Wang; Craig Boutilier (IJCAI, 2003)

Bounded Finite State Controllers. - Pascal Poupart; Craig Boutilier (NIPS, 2003)

Cooperative Negotiation in Autonomic Systems using Incremental Utility Elicitation. - Craig Boutilier; Rajarshi Das; Jeffrey O. Kephart; Gerald Tesauro; William E. Walsh (UAI, 2003)

Active Collaborative Filtering. - Craig Boutilier; Richard S. Zemel; Benjamin M. Marlin (UAI, 2003)

Accelerating Reinforcement Learning through Implicit Imitation. - Bob Price; Craig Boutilier (J. Artif. Intell. Res., 2003)

Eliciting Bid Taker Non-price Preferences in (Combinatorial) Auctions. - Craig Boutilier; Tuomas Sandholm; Rob Shields (AAAI, 2004)

Stochastic Local Search for POMDP Controllers. - Darius Braziunas; Craig Boutilier (AAAI, 2004)

Bayesian Reinforcement Learning for Coalition Formation under Uncertainty. - Georgios Chalkiadakis; Craig Boutilier (AAMAS, 2004)

A Study of Limited-Precision, Incremental Elicitation in Auctions. - Alexander Kress; Craig Boutilier (AAMAS, 2004)

VDCBPI: an Approximate Scalable Algorithm for Large POMDPs. - Pascal Poupart; Craig Boutilier (NIPS, 2004)

Regret Minimizing Equilibria and Mechanisms for Games with Strict Type Uncertainty. - Nathanael Hyafil; Craig Boutilier (UAI, 2004)

Preference-Based Constrained Optimization with CP-Nets. - Craig Boutilier; Ronen I. Brafman; Carmel Domshlak; Holger H. Hoos; David Poole 001 (Comput. Intell., 2004)

CP-nets: A Tool for Representing and Reasoning with Conditional Ceteris Paribus Preference Statements. - Craig Boutilier; Ronen I. Brafman; Carmel Domshlak; Holger H. Hoos; David Poole 001 (J. Artif. Intell. Res., 2004)

New Approaches to Optimization and Utility Elicitation in Autonomic Computing. - Relu Patrascu; Craig Boutilier; Rajarshi Das; Jeffrey O. Kephart; Gerald Tesauro; William E. Walsh (AAAI, 2005)

POMDP Models for Assistive Technology. - Jesse Hoey; Pascal Poupart; Craig Boutilier; Alex Mihailidis (AAAI Fall Symposium: Caring Machines, 2005)

A Decision-Theoretic Approach to Task Assistance for Persons with Dementia. - Jennifer Boger; Pascal Poupart; Jesse Hoey; Craig Boutilier; Geoff R. Fernie; Alex Mihailidis (IJCAI, 2005)

Regret-based Utility Elicitation in Constraint-based Decision Problems. - Craig Boutilier; Relu Patrascu; Pascal Poupart; Dale Schuurmans (IJCAI, 2005)

Local Utility Elicitation in GAI Models. - Darius Braziunas; Craig Boutilier (UAI, 2005)

Approximate Linear Programming for First-order MDPs. - Scott Sanner; Craig Boutilier (UAI, 2005)

The Influence of Influence Diagrams on Artificial Intelligence. - Craig Boutilier (Decis. Anal., 2005)

Preference Elicitation and Generalized Additive Utility. - Darius Braziunas; Craig Boutilier (AAAI, 2006)

Regret-based Incremental Partial Revelation Mechanisms. - Nathanael Hyafil; Craig Boutilier (AAAI, 2006)

Who's asking for help?: a Bayesian approach to intelligent assistance. - Bowen Hui; Craig Boutilier (IUI, 2006)

Practical Linear Value-approximation Techniques for First-order MDPs. - Scott Sanner; Craig Boutilier (UAI, 2006)

Constraint-based optimization and utility elicitation using the minimax decision criterion. - Craig Boutilier; Relu Patrascu; Pascal Poupart; Dale Schuurmans (Artif. Intell., 2006)

A Planning System Based on Markov Decision Processes to Guide People With Dementia Through Activities of Daily Living. - Jennifer Boger; Jesse Hoey; Pascal Poupart; Craig Boutilier; Geoff R. Fernie; Alex Mihailidis (IEEE Trans. Inf. Technol. Biomed., 2006)

Computing Optimal Subsets. - Maxim Binshtok; Ronen I. Brafman; Solomon Eyal Shimony; Ajay Mani; Craig Boutilier (AAAI, 2007)

Partial Revelation Automated Mechanism Design. - Nathanael Hyafil; Craig Boutilier (AAAI, 2007)

Approximate Solution Techniques for Factored First-Order MDPs. - Scott Sanner; Craig Boutilier (ICAPS, 2007)

Coalition formation under uncertainty: bargaining equilibria and the Bayesian core stability concept. - Georgios Chalkiadakis; Evangelos Markakis; Craig Boutilier (AAMAS, 2007)

Coalitional Bargaining with Agent Type Uncertainty. - Georgios Chalkiadakis; Craig Boutilier (IJCAI, 2007)

Mechanism Design with Partial Revelation. - Nathanael Hyafil; Craig Boutilier (IJCAI, 2007)

Automated Design of Multistage Mechanisms. - Tuomas Sandholm; Vincent Conitzer; Craig Boutilier (IJCAI, 2007)

Minimax regret based elicitation of generalized additive utilities. - Darius Braziunas; Craig Boutilier (UAI, 2007)

Expressive Banner Ad Auctions and Model-Based Online Optimization for Clearing. - Craig Boutilier; David C. Parkes; Tuomas Sandholm; William E. Walsh (AAAI, 2008)

Computing Reserve Prices and Identifying the Value Distribution in Real-world Auctions with Market Disruptions. - William E. Walsh; David C. Parkes; Tuomas Sandholm; Craig Boutilier (AAAI, 2008)

Sequential decision making in repeated coalition formation under uncertainty. - Georgios Chalkiadakis; Craig Boutilier (AAMAS (1), 2008)

The need for an interaction cost model in adaptive interfaces. - Bowen Hui; Sean Gustafson; Pourang Irani; Craig Boutilier (AVI, 2008)

Toward Experiential Utility Elicitation for Interface Customization. - Bowen Hui; Craig Boutilier (UAI, 2008)

Elicitation of Factored Utilities. - Darius Braziunas; Craig Boutilier (AI Mag., 2008)

Intelligent Decision Support in Medicine: Back to Bayes? - Gitte Lindgaard; Peter Egan; Colin N. Jones; Catherine Pyper; Monique Frize; Robin C. Walker; Craig Boutilier; Bowen Hui; Sheila Narasimhan; Janette Folkens; Bill Winogron (J. Univers. Comput. Sci., 2008)

Online feature elicitation in interactive optimization. - Craig Boutilier; Kevin Regan 001; Paolo Viappiani (ICML, 2009)

Optimal Set Recommendations Based on Regret. - Paolo Viappiani; Craig Boutilier (ITWP, 2009)

A probabilistic mental model for estimating disruption. - Bowen Hui; Grant A. Partridge; Craig Boutilier (IUI, 2009)

Preference elicitation with subjective features. - Craig Boutilier; Kevin Regan 001; Paolo Viappiani (RecSys, 2009)

Regret-based optimal recommendation sets in conversational recommender systems. - Paolo Viappiani; Craig Boutilier (RecSys, 2009)

Regret-based Reward Elicitation for Markov Decision Processes. - Kevin Regan 001; Craig Boutilier (UAI, 2009)

Practical solution techniques for first-order MDPs. - Scott Sanner; Craig Boutilier (Artif. Intell., 2009)

Simultaneous Elicitation of Preference Features and Utility. - Craig Boutilier; Kevin Regan 001; Paolo Viappiani (AAAI, 2010)

Robust Policy Computation in Reward-Uncertain MDPs Using Nondominated Policies. - Kevin Regan 001; Craig Boutilier (AAAI, 2010)

Automated Channel Abstraction for Advertising Auctions. - William E. Walsh; Craig Boutilier; Tuomas Sandholm; Rob Shields; George L. Nemhauser; David C. Parkes (AAAI, 2010)

Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets. - Paolo Viappiani; Craig Boutilier (NIPS, 2010)

Assessing regret-based preference elicitation with the UTPREF recommendation system. - Darius Braziunas; Craig Boutilier (EC, 2010)

The unavailable candidate model: a decision-theoretic view of social choice. - Tyler Lu; Craig Boutilier (EC, 2010)

Automated handwashing assistance for persons with dementia using video and a partially observable Markov decision process. - Jesse Hoey; Pascal Poupart; Axel von Bertoldi; Tammy Craig; Craig Boutilier; Alex Mihailidis (Comput. Vis. Image Underst., 2010)

Efficiency and Privacy Tradeoffs in Mechanism Design. - Xin Sui; Craig Boutilier (AAAI, 2011)

Recommendation Sets and Choice Queries: There Is No Exploration/Exploitation Tradeoff! - Paolo Viappiani; Craig Boutilier (AAAI, 2011)

A Bayesian Concept Learning Approach to Crowdsourcing. - Paolo Viappiani; Sandra Zilles; Howard J. Hamilton; Craig Boutilier (Interactive Decision Theory and Game Theory, 2011)

Vote Elicitation with Probabilistic Preference Models: Empirical Estimation and Cost Tradeoffs. - Tyler Lu; Craig Boutilier (ADT, 2011)

Learning Complex Concepts Using Crowdsourcing: A Bayesian Approach. - Paolo Viappiani; Sandra Zilles; Howard J. Hamilton; Craig Boutilier (ADT, 2011)

Preference Elicitation and Preference Learning in Social Choice. - Craig Boutilier (CPAIOR, 2011)

Learning Mallows Models with Pairwise Preferences. - Tyler Lu; Craig Boutilier (ICML, 2011)

Budgeted Social Choice: From Consensus to Personalized Decision Making. - Tyler Lu; Craig Boutilier (IJCAI, 2011)

Robust Approximation and Incremental Elicitation in Voting Protocols. - Tyler Lu; Craig Boutilier (IJCAI, 2011)

Eliciting Additive Reward Functions for Markov Decision Processes. - Kevin Regan 001; Craig Boutilier (IJCAI, 2011)

Robust Online Optimization of Reward-Uncertain MDPs. - Kevin Regan 001; Craig Boutilier (IJCAI, 2011)

A Framework for Optimizing Paper Matching. - Laurent Charlin; Richard S. Zemel; Craig Boutilier (UAI, 2011)

CP-nets: A Tool for Representing and Reasoning withConditional Ceteris Paribus Preference Statements - Craig Boutilier; Ronen I. Brafman; Carmel Domshlak; Holger H. Hoos; David Poole 001 (CoRR, 2011)

A Dynamic Rationalization of Distance Rationalizability. - Craig Boutilier; Ariel D. Procaccia (AAAI, 2012)

Eliciting forecasts from self-interested experts: scoring rules for decision makers. - Craig Boutilier (AAMAS, 2012)

Active Learning for Matching Problems. - Laurent Charlin; Richard S. Zemel; Craig Boutilier (ICML, 2012)

Matching models for preference-sensitive group purchasing. - Tyler Lu; Craig Boutilier (EC, 2012)

Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare. - Tyler Lu; Pingzhong Tang; Ariel D. Procaccia; Craig Boutilier (UAI, 2012)

Sequentially optimal repeated coalition formation under uncertainty. - Georgios Chalkiadakis; Craig Boutilier (Auton. Agents Multi Agent Syst., 2012)

People, sensors, decisions: Customizable and adaptive technologies for assistance in healthcare. - Jesse Hoey; Craig Boutilier; Pascal Poupart; Patrick Olivier; Andrew Monk; Alex Mihailidis (ACM Trans. Interact. Intell. Syst., 2012)

Elicitation and Approximately Stable Matching with Partial Preferences. - Joanna Drummond; Craig Boutilier (IJCAI, 2013)

Multi-Winner Social Choice with Incomplete Preferences. - Tyler Lu; Craig Boutilier (IJCAI, 2013)

Efficient Vote Elicitation under Candidate Uncertainty. - Joel Oren; Yuval Filmus; Craig Boutilier (IJCAI, 2013)

Analysis and Optimization of Multi-Dimensional Percentile Mechanisms. - Xin Sui; Craig Boutilier; Tuomas Sandholm (IJCAI, 2013)

Multi-Dimensional Single-Peaked Consistency and Its Approximations. - Xin Sui; Alex Francois-Nienaber; Craig Boutilier (IJCAI, 2013)

Reasoning With Conditional Ceteris Paribus Preference Statem - Craig Boutilier; Ronen I. Brafman; Holger H. Hoos; David Poole 001 (CoRR, 2013)

Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (2000) - Craig Boutilier; Moisés Goldszmidt (CoRR, 2013)

Robust Winners and Winner Determination Policies under Candidate Uncertainty. - Craig Boutilier; Jérôme Lang; Joel Oren; Héctor Palacios (AAAI, 2014)

Preference Elicitation and Interview Minimization in Stable Matchings. - Joanna Drummond; Craig Boutilier (AAAI, 2014)

Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty. - Thanh Hong Nguyen; Amulya Yadav; Bo An 001; Milind Tambe; Craig Boutilier (AAAI, 2014)

A Game-Theoretic Analysis of Catalog Optimization. - Joel Oren; Nina Narodytska; Craig Boutilier (AAAI, 2014)

Efficient coordinated power distribution on private infrastructure. - Andrew Perrault; Craig Boutilier (AAMAS, 2014)

Empathetic social choice on social networks. - Amirali Salehi-Abari; Craig Boutilier (AAMAS, 2014)

On the value of using group discounts under price competition. - Reshef Meir; Tyler Lu; Moshe Tennenholtz; Craig Boutilier (Artif. Intell., 2014)

Effective sampling and learning for mallows models with pairwise-preference data. - Tyler Lu; Craig Boutilier (J. Mach. Learn. Res., 2014)

The Pricing War Continues: On Competitive Multi-Item Pricing. - Omer Lev; Joel Oren; Craig Boutilier; Jeffrey S. Rosenschein (AAAI, 2015)

Value-Directed Compression of Large-Scale Assignment Problems. - Tyler Lu; Craig Boutilier (AAAI, 2015)

Optimal Group Manipulation in Facility Location Problems. - Xin Sui; Craig Boutilier (ADT, 2015)

Approximately Strategy-proof Mechanisms for (Constrained) Facility Location. - Xin Sui; Craig Boutilier (AAMAS, 2015)

Approximately Stable Pricing for Coordinated Purchasing of Electricity. - Andrew Perrault; Craig Boutilier (IJCAI, 2015)

Preference-oriented Social Networks: Group Recommendation and Inference. - Amirali Salehi-Abari; Craig Boutilier (RecSys, 2015)

Optimal social choice functions: A utilitarian view. - Craig Boutilier; Ioannis Caragiannis; Simi Haber; Tyler Lu; Ariel D. Procaccia; Or Sheffet (Artif. Intell., 2015)

Computational Social Choice: Theory and Applications (Dagstuhl Seminar 15241). - Craig Boutilier; Britta Dorn; Nicolas Maudet; Vincent Merlin (Dagstuhl Reports, 2015)

Budget Allocation using Weakly Coupled, Constrained Markov Decision Processes. - Craig Boutilier; Tyler Lu (UAI, 2016)

Incomplete Information and Communication in Voting. - Craig Boutilier; Jeffrey S. Rosenschein (Handbook of Computational Social Choice, 2016)

Logistic Markov Decision Processes. - Martin Mladenov; Craig Boutilier; Dale Schuurmans; Ofer Meshi; Gal Elidan; Tyler Lu (IJCAI, 2017)

Multiple-Profile Prediction-of-Use Games. - Andrew Perrault; Craig Boutilier (IJCAI, 2017)

Safe Exploration for Identifying Linear Systems via Robust Optimization. - Tyler Lu; Martin Zinkevich; Craig Boutilier; Binz Roy; Dale Schuurmans (CoRR, 2017)

Toward User-Centric Recommender Systems. - Craig Boutilier (AAMAS, 2018)

Planning and Learning with Stochastic Action Sets. - Craig Boutilier; Alon Cohen; Avinatan Hassidim; Yishay Mansour; Ofer Meshi; Martin Mladenov; Dale Schuurmans (IJCAI, 2018)

Data center cooling using model-predictive control. - Nevena Lazic; Craig Boutilier; Tyler Lu; Eehern Wong; Binz Roy; M. K. Ryu; Greg Imwalle (NeurIPS, 2018)

Non-delusional Q-learning and value-iteration. - Tyler Lu; Dale Schuurmans; Craig Boutilier (NeurIPS, 2018)

Planning and Learning with Stochastic Action Sets. - Craig Boutilier; Alon Cohen; Amit Daniely; Avinatan Hassidim; Yishay Mansour; Ofer Meshi; Martin Mladenov; Dale Schuurmans (CoRR, 2018)

Seq2Slate: Re-ranking and Slate Optimization with RNNs. - Irwan Bello; Sayali Kulkarni; Sagar Jain; Craig Boutilier; Ed Huai-hsin Chi; Elad Eban; Xiyang Luo; Alan Mackey; Ofer Meshi (CoRR, 2018)

Experiential Preference Elicitation for Autonomous Heating and Cooling Systems. - Andrew Perrault; Craig Boutilier (AAMAS, 2019)

SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets. - Eugene Ie; Vihan Jain; Jing Wang; Sanmit Narvekar; Ritesh Agarwal; Rui Wu 020; Heng-Tze Cheng; Tushar Chandra; Craig Boutilier (IJCAI, 2019)

Perturbed-History Exploration in Stochastic Multi-Armed Bandits. - Branislav Kveton; Csaba Szepesvári; Mohammad Ghavamzadeh; Craig Boutilier (IJCAI, 2019)

Advantage Amplification in Slowly Evolving Latent-State Environments. - Martin Mladenov; Ofer Meshi; Jayden Ooi; Dale Schuurmans; Craig Boutilier (IJCAI, 2019)

Perturbed-History Exploration in Stochastic Linear Bandits. - Branislav Kveton; Csaba Szepesvári; Mohammad Ghavamzadeh; Craig Boutilier (UAI, 2019)

Empathetic decision making in social networks. - Amirali Salehi-Abari; Craig Boutilier; Kate Larson (Artif. Intell., 2019)

Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology. - Eugene Ie; Vihan Jain; Jing Wang; Sanmit Narvekar; Ritesh Agarwal; Rui Wu 020; Heng-Tze Cheng; Morgane Lustman; Vince Gatto; Paul Covington; Jim McFadden; Tushar Chandra; et al. (CoRR, 2019)

RecSim: A Configurable Simulation Platform for Recommender Systems. - Eugene Ie; Chih-Wei Hsu; Martin Mladenov; Vihan Jain; Sanmit Narvekar; Jing Wang; Rui Wu 020; Craig Boutilier (CoRR, 2019)

Gradient-Based Optimization for Bayesian Preference Elicitation. - Ivan Vendrov; Tyler Lu; Qingqing Huang; Craig Boutilier (AAAI, 2020)

Randomized Exploration in Generalized Linear Bandits. - Branislav Kveton; Manzil Zaheer; Csaba Szepesvári; Lihong Li 001; Mohammad Ghavamzadeh; Craig Boutilier (AISTATS, 2020)

CAQL: Continuous Action Q-Learning. - Moonkyung Ryu; Yinlam Chow; Ross Anderson; Christian Tjandraatmadja; Craig Boutilier (ICLR, 2020)

Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach. - Martin Mladenov; Elliot Creager; Omer Ben-Porat; Kevin Swersky; Richard S. Zemel; Craig Boutilier (ICML, 2020)

ConQUR: Mitigating Delusional Bias in Deep Q-Learning. - Dijia Su; Jayden Ooi; Tyler Lu; Dale Schuurmans; Craig Boutilier (ICML, 2020)

BRPO: Batch Residual Policy Optimization. - Sungryull Sohn; Yinlam Chow; Jayden Ooi; Ofir Nachum; Honglak Lee; Ed H. Chi; Craig Boutilier (IJCAI, 2020)

Differentiable Meta-Learning of Bandit Policies. - Craig Boutilier; Chih-Wei Hsu; Branislav Kveton; Martin Mladenov; Csaba Szepesvári; Manzil Zaheer (NeurIPS, 2020)

Latent Bandits Revisited. - Joey Hong; Branislav Kveton; Manzil Zaheer; Yinlam Chow; Amr Ahmed 001; Craig Boutilier (NeurIPS, 2020)

Demonstrating Principled Uncertainty Modeling for Recommender Ecosystems with RecSim NG. - Martin Mladenov; Chih-Wei Hsu; Vihan Jain; Eugene Ie; Christopher Colby; Nicolas Mayoraz; Hubert Pham; Dustin Tran; Ivan Vendrov; Craig Boutilier (RecSys, 2020)

Preference elicitation and robust winner determination for single- and multi-winner social choice. - Tyler Lu; Craig Boutilier (Artif. Intell., 2020)

On the equivalence of optimal recommendation sets and myopically optimal query sets. - Paolo Viappiani; Craig Boutilier (Artif. Intell., 2020)

Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing. - Ge Liu; Rui Wu 020; Heng-Tze Cheng; Jing Wang; Jayden Ooi; Lihong Li 001; Ang Li; Wai Lok Sibon Li; Craig Boutilier; Ed H. Chi (CoRR, 2020)

Differentiable Bandit Exploration. - Craig Boutilier; Chih-Wei Hsu; Branislav Kveton; Martin Mladenov; Csaba Szepesvári; Manzil Zaheer (CoRR, 2020)

ConQUR: Mitigating Delusional Bias in Deep Q-learning. - Andy Su; Jayden Ooi; Tyler Lu; Dale Schuurmans; Craig Boutilier (CoRR, 2020)

Differentiable Meta-Learning in Contextual Bandits. - Branislav Kveton; Martin Mladenov; Chih-Wei Hsu; Manzil Zaheer; Csaba Szepesvári; Craig Boutilier (CoRR, 2020)

Non-Stationary Latent Bandits. - Joey Hong; Branislav Kveton; Manzil Zaheer; Yinlam Chow; Amr Ahmed 001; Mohammad Ghavamzadeh; Craig Boutilier (CoRR, 2020)

Meta-Thompson Sampling. - Branislav Kveton; Mikhail Konobeev; Manzil Zaheer; Chih-Wei Hsu; Martin Mladenov; Craig Boutilier; Csaba Szepesvári (ICML, 2021)

Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities. - Ruohan Zhan; Konstantina Christakopoulou; Ya Le; Jayden Ooi; Martin Mladenov; Alex Beutel; Craig Boutilier; Ed H. Chi; Minmin Chen (WWW, 2021)

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems. - Martin Mladenov; Chih-Wei Hsu; Vihan Jain; Eugene Ie; Christopher Colby; Nicolas Mayoraz; Hubert Pham; Dustin Tran; Ivan Vendrov; Craig Boutilier (CoRR, 2021)

Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities. - Filip Radlinski; Craig Boutilier; Deepak Ramachandran; Ivan Vendrov (AAAI, 2022)

Thompson Sampling with a Mixture Prior. - Joey Hong; Branislav Kveton; Manzil Zaheer; Mohammad Ghavamzadeh; Craig Boutilier (AISTATS, 2022)

An adversarial variational inference approach for travel demand calibration of urban traffic simulators. - Martin Mladenov; Sanjay Ganapathy Subramaniam; Chih-Wei Hsu; Neha Arora; Andrew Tomkins; Craig Boutilier; Carolina Osorio (SIGSPATIAL/GIS, 2022)

IMO^3: Interactive Multi-Objective Off-Policy Optimization. - Nan Wang; Hongning Wang; Maryam Karimzadehgan; Branislav Kveton; Craig Boutilier (IJCAI, 2022)

Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors. - Christina Göpfert; Yinlam Chow; Chih-Wei Hsu; Ivan Vendrov; Tyler Lu; Deepak Ramachandran; Craig Boutilier (WWW, 2022)

IMO3: Interactive Multi-Objective Off-Policy Optimization. - Nan Wang; Hongning Wang; Maryam Karimzadehgan; Branislav Kveton; Craig Boutilier (CoRR, 2022)

A Mixture-of-Expert Approach to RL-based Dialogue Management. - Yinlam Chow; Aza Tulepbergenov; Ofir Nachum; Moonkyung Ryu; Mohammad Ghavamzadeh; Craig Boutilier (CoRR, 2022)

Building Human Values into Recommender Systems: An Interdisciplinary Synthesis. - 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; et al. (CoRR, 2022)

Dynamic Planning in Open-Ended Dialogue using Reinforcement Learning. - Deborah Cohen; Moonkyung Ryu; Yinlam Chow; Orgad Keller; Ido Greenberg; Avinatan Hassidim; Michael Fink; Yossi Matias; Idan Szpektor; Craig Boutilier; Gal Elidan (CoRR, 2022)

Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report. - 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; et al. (CoRR, 2022)

A Mixture-of-Expert Approach to RL-based Dialogue Management. - Yinlam Chow; Aza Tulepbergenov; Ofir Nachum; Dhawal Gupta; Moonkyung Ryu; Mohammad Ghavamzadeh; Craig Boutilier (ICLR, 2023)

Reinforcement Learning with History Dependent Dynamic Contexts. - Guy Tennenholtz; Nadav Merlis; Lior Shani; Martin Mladenov; Craig Boutilier (ICML, 2023)

Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models. - Ying Fan; Olivia Watkins; Yuqing Du; Hao Liu 055; Moonkyung Ryu; Craig Boutilier; Pieter Abbeel; Mohammad Ghavamzadeh; Kangwook Lee 001; Kimin Lee (NeurIPS, 2023)

Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management. - Dhawal Gupta; Yinlam Chow; Azamat Tulepbergenov; Mohammad Ghavamzadeh; Craig Boutilier (NeurIPS, 2023)

Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management. - Dhawal Gupta; Yinlam Chow; Mohammad Ghavamzadeh; Craig Boutilier (CoRR, 2023)

Aligning Text-to-Image Models using Human Feedback. - Kimin Lee; Hao Liu 055; Moonkyung Ryu; Olivia Watkins; Yuqing Du; Craig Boutilier; Pieter Abbeel; Mohammad Ghavamzadeh; Shixiang Shane Gu (CoRR, 2023)

DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models. - Ying Fan; Olivia Watkins; Yuqing Du; Hao Liu 055; Moonkyung Ryu; Craig Boutilier; Pieter Abbeel; Mohammad Ghavamzadeh; Kangwook Lee 001; Kimin Lee (CoRR, 2023)

Ranking with Popularity Bias: User Welfare under Self-Amplification Dynamics. - Guy Tennenholtz; Martin Mladenov; Nadav Merlis; Craig Boutilier (CoRR, 2023)

Content Prompting: Modeling Content Provider Dynamics to Improve User Welfare in Recommender Ecosystems. - Siddharth Prasad; Martin Mladenov; Craig Boutilier (CoRR, 2023)

Modeling Recommender Ecosystems: Research Challenges at the Intersection of Mechanism Design, Reinforcement Learning and Generative Models. - Craig Boutilier; Martin Mladenov; Guy Tennenholtz (CoRR, 2023)

Factual and Personalized Recommendations using Language Models and Reinforcement Learning. - Jihwan Jeong; Yinlam Chow; Guy Tennenholtz; Chih-Wei Hsu; Azamat Tulepbergenov; Mohammad Ghavamzadeh; Craig Boutilier (CoRR, 2023)

Density-based User Representation through Gaussian Process Regression for Multi-interest Personalized Retrieval. - Haolun Wu; Ofer Meshi; Masrour Zoghi; Fernando Diaz 001; Xue Liu 001; Craig Boutilier; Maryam Karimzadehgan (CoRR, 2023)

Preference Elicitation with Soft Attributes in Interactive Recommendation. - Erdem Biyik; Fan Yao; Yinlam Chow; Alex Haig; Chih-Wei Hsu; Mohammad Ghavamzadeh; Craig Boutilier (CoRR, 2023)

Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization. - Craig Boutilier; Martin Mladenov; Guy Tennenholtz (AAAI, 2024)

Demystifying Embedding Spaces using Large Language Models. - Guy Tennenholtz; Yinlam Chow; Chih-Wei Hsu; Jihwan Jeong; Lior Shani; Azamat Tulepbergenov; Deepak Ramachandran; Martin Mladenov; Craig Boutilier (ICLR, 2024)

Model-Free Preference Elicitation. - Carlos Martin 001; Craig Boutilier; Ofer Meshi; Tuomas Sandholm (IJCAI, 2024)

DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning. - Anthony Liang; Guy Tennenholtz; Chih-Wei Hsu; Yinlam Chow; Erdem Biyik; Craig Boutilier (NeurIPS, 2024)

Embedding-Aligned Language Models. - Guy Tennenholtz; Yinlam Chow; Chih-Wei Hsu; Lior Shani; Yi Liang; Craig Boutilier (NeurIPS, 2024)

Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval. - Haolun Wu; Ofer Meshi; Masrour Zoghi; Fernando Diaz 001; Xue (Steve) Liu; Craig Boutilier; Maryam Karimzadehgan (NeurIPS, 2024)

Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies. - Chih-Wei Hsu; Martin Mladenov; Ofer Meshi; James Pine; Hubert Pham; Shane Li; Xujian Liang; Anton Polishko; Li Yang; Ben Scheetz; Craig Boutilier (SIGIR, 2024)

Embedding-Aligned Language Models. - Guy Tennenholtz; Yinlam Chow; Chih-Wei Hsu; Lior Shani; Ethan Liang; Craig Boutilier (CoRR, 2024)

Personalized and Sequential Text-to-Image Generation. - Ofir Nabati; Guy Tennenholtz; Chih-Wei Hsu; Moonkyung Ryu; Deepak Ramachandran; Yinlam Chow; Xiang Li; Craig Boutilier (CoRR, 2024)

Building Human Values into Recommender Systems: An Interdisciplinary Synthesis. - 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; et al. (Trans. Recomm. Syst., 2024)

Discovering Personalized Semantics for Soft Attributes in Recommender Systems Using Concept Activation Vectors. - Christina Göpfert; Alex Haig; Chih-Wei Hsu; Yinlam Chow; Ivan Vendrov; Tyler Lu; Deepak Ramachandran; Hubert Pham; Mohammad Ghavamzadeh; Craig Boutilier (Trans. Recomm. Syst., 2024)

Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models. - Yinlam Chow; Guy Tennenholtz; Izzeddin Gur; Vincent Zhuang; Bo Dai 001; Aviral Kumar; Rishabh Agarwal; Sridhar Thiagarajan; Craig Boutilier; Aleksandra Faust (ICLR, 2025)

Descriptive History Representations: Learning Representations by Answering Questions. - Guy Tennenholtz; Jihwan Jeong; Chih-Wei Hsu; Yinlam Chow; Craig Boutilier (CoRR, 2025)