| 2026 | EACL | ConvApparel: A Benchmark Dataset and Validation Framework for User Simulators in Conversational Recommenders. | Ofer Meshi, Krisztian Balog, Sally Goldman, Avi Caciularu, Guy Tennenholtz, Jihwan Jeong, Amir Globerson, Craig Boutilier |
| 2025 | ICLR | Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models. | Yinlam Chow, Guy Tennenholtz, Izzeddin Gur, Vincent Zhuang, Bo Dai, Aviral Kumar, Rishabh Agarwal, Sridhar Thiagarajan, Craig Boutilier, Aleksandra Faust |
| 2025 | ICML | Preference Adaptive and Sequential Text-to-Image Generation. | Ofir Nabati, Guy Tennenholtz, Chih-Wei Hsu, Moonkyung Ryu, Deepak Ramachandran, Yinlam Chow, Xiang Li, Craig Boutilier |
| 2024 | AAAI | Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization. | Craig Boutilier, Martin Mladenov, Guy Tennenholtz |
| 2024 | ICLR | 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 |
| 2024 | IJCAI | Model-Free Preference Elicitation. | Carlos Martin, Craig Boutilier, Ofer Meshi, Tuomas Sandholm |
| 2024 | SIGIR | 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 |
| 2023 | ICLR | A Mixture-of-Expert Approach to RL-based Dialogue Management. | Yinlam Chow, Aza Tulepbergenov, Ofir Nachum, Dhawal Gupta, Moonkyung Ryu, Mohammad Ghavamzadeh, Craig Boutilier |
| 2023 | ICML | Reinforcement Learning with History Dependent Dynamic Contexts. | Guy Tennenholtz, Nadav Merlis, Lior Shani, Martin Mladenov, Craig Boutilier |
| 2022 | AAAI | Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities. | Filip Radlinski, Craig Boutilier, Deepak Ramachandran, Ivan Vendrov |
| 2022 | AISTATS | Thompson Sampling with a Mixture Prior. | Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh, Craig Boutilier |
| 2022 | IJCAI | IMO^3: Interactive Multi-Objective Off-Policy Optimization. | Nan Wang, Hongning Wang, Maryam Karimzadehgan, Branislav Kveton, Craig Boutilier |
| 2022 | WWW | Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors. | Christina Gpfert, Yinlam Chow, Chih-Wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier |
| 2021 | ICML | Meta-Thompson Sampling. | Branislav Kveton, Mikhail Konobeev, Manzil Zaheer, Chih-Wei Hsu, Martin Mladenov, Craig Boutilier, Csaba Szepesvri |
| 2021 | WWW | 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 |
| 2020 | AAAI | Gradient-Based Optimization for Bayesian Preference Elicitation. | Ivan Vendrov, Tyler Lu, Qingqing Huang, Craig Boutilier |
| 2020 | AISTATS | Randomized Exploration in Generalized Linear Bandits. | Branislav Kveton, Manzil Zaheer, Csaba Szepesvri, Lihong Li, Mohammad Ghavamzadeh, Craig Boutilier |
| 2020 | ICLR | CAQL: Continuous Action Q-Learning. | Moonkyung Ryu, Yinlam Chow, Ross Anderson, Christian Tjandraatmadja, Craig Boutilier |
| 2020 | ICML | 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 |
| 2020 | ICML | ConQUR: Mitigating Delusional Bias in Deep Q-Learning. | Dijia Su, Jayden Ooi, Tyler Lu, Dale Schuurmans, Craig Boutilier |
| 2020 | IJCAI | BRPO: Batch Residual Policy Optimization. | Sungryull Sohn, Yinlam Chow, Jayden Ooi, Ofir Nachum, Honglak Lee, Ed H. Chi, Craig Boutilier |
| 2020 | RecSys | 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 |
| 2019 | IJCAI | SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets. | Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal, Rui Wu, Heng-Tze Cheng, Tushar Chandra, Craig Boutilier |
| 2019 | IJCAI | Perturbed-History Exploration in Stochastic Multi-Armed Bandits. | Branislav Kveton, Csaba Szepesvri, Mohammad Ghavamzadeh, Craig Boutilier |
| 2019 | IJCAI | Advantage Amplification in Slowly Evolving Latent-State Environments. | Martin Mladenov, Ofer Meshi, Jayden Ooi, Dale Schuurmans, Craig Boutilier |
| 2019 | UAI | Perturbed-History Exploration in Stochastic Linear Bandits. | Branislav Kveton, Csaba Szepesvri, Mohammad Ghavamzadeh, Craig Boutilier |
| 2018 | IJCAI | Planning and Learning with Stochastic Action Sets. | Craig Boutilier, Alon Cohen, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans |
| 2017 | IJCAI | Logistic Markov Decision Processes. | Martin Mladenov, Craig Boutilier, Dale Schuurmans, Ofer Meshi, Gal Elidan, Tyler Lu |
| 2017 | IJCAI | Multiple-Profile Prediction-of-Use Games. | Andrew Perrault, Craig Boutilier |
| 2016 | UAI | Budget Allocation using Weakly Coupled, Constrained Markov Decision Processes. | Craig Boutilier, Tyler Lu |
| 2015 | AAAI | The Pricing War Continues: On Competitive Multi-Item Pricing. | Omer Lev, Joel Oren, Craig Boutilier, Jeffrey S. Rosenschein |
| 2015 | AAAI | Value-Directed Compression of Large-Scale Assignment Problems. | Tyler Lu, Craig Boutilier |
| 2015 | IJCAI | Approximately Stable Pricing for Coordinated Purchasing of Electricity. | Andrew Perrault, Craig Boutilier |
| 2015 | RecSys | Preference-oriented Social Networks: Group Recommendation and Inference. | Amirali Salehi-Abari, Craig Boutilier |
| 2014 | AAAI | Robust Winners and Winner Determination Policies under Candidate Uncertainty. | Craig Boutilier, Jrme Lang, Joel Oren, Hctor Palacios |
| 2014 | AAAI | Preference Elicitation and Interview Minimization in Stable Matchings. | Joanna Drummond, Craig Boutilier |
| 2014 | AAAI | Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty. | Thanh Hong Nguyen, Amulya Yadav, Bo An, Milind Tambe, Craig Boutilier |
| 2014 | AAAI | A Game-Theoretic Analysis of Catalog Optimization. | Joel Oren, Nina Narodytska, Craig Boutilier |
| 2013 | AAAI | On the Value of Using Group Discounts under Price Competition. | Reshef Meir, Tyler Lu, Moshe Tennenholtz, Craig Boutilier |
| 2013 | IJCAI | Elicitation and Approximately Stable Matching with Partial Preferences. | Joanna Drummond, Craig Boutilier |
| 2013 | IJCAI | Multi-Winner Social Choice with Incomplete Preferences. | Tyler Lu, Craig Boutilier |
| 2013 | IJCAI | Efficient Vote Elicitation under Candidate Uncertainty. | Joel Oren, Yuval Filmus, Craig Boutilier |
| 2013 | IJCAI | Analysis and Optimization of Multi-Dimensional Percentile Mechanisms. | Xin Sui, Craig Boutilier, Tuomas Sandholm |
| 2013 | IJCAI | Multi-Dimensional Single-Peaked Consistency and Its Approximations. | Xin Sui, Alex Francois-Nienaber, Craig Boutilier |
| 2012 | AAAI | A Dynamic Rationalization of Distance Rationalizability. | Craig Boutilier, Ariel D. Procaccia |
| 2012 | AAMAS | Eliciting forecasts from self-interested experts: scoring rules for decision makers. | Craig Boutilier |
| 2012 | ICML | Active Learning for Matching Problems. | Laurent Charlin, Richard S. Zemel, Craig Boutilier |
| 2012 | UAI | Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare. | Tyler Lu, Pingzhong Tang, Ariel D. Procaccia, Craig Boutilier |
| 2011 | AAAI | Efficiency and Privacy Tradeoffs in Mechanism Design. | Xin Sui, Craig Boutilier |
| 2011 | AAAI | Recommendation Sets and Choice Queries: There Is No Exploration/Exploitation Tradeoff! | Paolo Viappiani, Craig Boutilier |
| 2011 | AAAI | A Bayesian Concept Learning Approach to Crowdsourcing. | Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier |
| 2011 | CPAIOR | Preference Elicitation and Preference Learning in Social Choice. | Craig Boutilier |
| 2011 | ICML | Learning Mallows Models with Pairwise Preferences. | Tyler Lu, Craig Boutilier |
| 2011 | IJCAI | Budgeted Social Choice: From Consensus to Personalized Decision Making. | Tyler Lu, Craig Boutilier |
| 2011 | IJCAI | Robust Approximation and Incremental Elicitation in Voting Protocols. | Tyler Lu, Craig Boutilier |
| 2011 | IJCAI | Eliciting Additive Reward Functions for Markov Decision Processes. | Kevin Regan, Craig Boutilier |
| 2011 | IJCAI | Robust Online Optimization of Reward-Uncertain MDPs. | Kevin Regan, Craig Boutilier |
| 2011 | IJCAI | A Bayesian Concept Learning Approach to Crowdsourcing. | Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier |
| 2011 | UAI | A Framework for Optimizing Paper Matching. | Laurent Charlin, Richard S. Zemel, Craig Boutilier |
| 2010 | AAAI | Simultaneous Elicitation of Preference Features and Utility. | Craig Boutilier, Kevin Regan, Paolo Viappiani |
| 2010 | AAAI | Robust Policy Computation in Reward-Uncertain MDPs Using Nondominated Policies. | Kevin Regan, Craig Boutilier |
| 2010 | AAAI | Automated Channel Abstraction for Advertising Auctions. | William E. Walsh, Craig Boutilier, Tuomas Sandholm, Rob Shields, George L. Nemhauser, David C. Parkes |
| 2009 | ICML | Online feature elicitation in interactive optimization. | Craig Boutilier, Kevin Regan, Paolo Viappiani |
| 2009 | IJCAI | Optimal Set Recommendations Based on Regret. | Paolo Viappiani, Craig Boutilier |
| 2009 | IUI | A probabilistic mental model for estimating disruption. | Bowen Hui, Grant A. Partridge, Craig Boutilier |
| 2009 | RecSys | Preference elicitation with subjective features. | Craig Boutilier, Kevin Regan, Paolo Viappiani |
| 2009 | RecSys | Regret-based optimal recommendation sets in conversational recommender systems. | Paolo Viappiani, Craig Boutilier |
| 2009 | UAI | Regret-based Reward Elicitation for Markov Decision Processes. | Kevin Regan, Craig Boutilier |
| 2008 | AAAI | Expressive Banner Ad Auctions and Model-Based Online Optimization for Clearing. | Craig Boutilier, David C. Parkes, Tuomas Sandholm, William E. Walsh |
| 2008 | AAAI | 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 |
| 2008 | AVI | The need for an interaction cost model in adaptive interfaces. | Bowen Hui, Sean Gustafson, Pourang Irani, Craig Boutilier |
| 2008 | UAI | Toward Experiential Utility Elicitation for Interface Customization. | Bowen Hui, Craig Boutilier |
| 2007 | AAAI | Computing Optimal Subsets. | Maxim Binshtok, Ronen I. Brafman, Solomon Eyal Shimony, Ajay Mani, Craig Boutilier |
| 2007 | AAAI | Partial Revelation Automated Mechanism Design. | Nathanael Hyafil, Craig Boutilier |
| 2007 | IJCAI | Coalitional Bargaining with Agent Type Uncertainty. | Georgios Chalkiadakis, Craig Boutilier |
| 2007 | IJCAI | Mechanism Design with Partial Revelation. | Nathanael Hyafil, Craig Boutilier |
| 2007 | IJCAI | Automated Design of Multistage Mechanisms. | Tuomas Sandholm, Vincent Conitzer, Craig Boutilier |
| 2007 | UAI | Minimax regret based elicitation of generalized additive utilities. | Darius Braziunas, Craig Boutilier |
| 2006 | AAAI | Preference Elicitation and Generalized Additive Utility. | Darius Braziunas, Craig Boutilier |
| 2006 | AAAI | Regret-based Incremental Partial Revelation Mechanisms. | Nathanael Hyafil, Craig Boutilier |
| 2006 | IUI | Who's asking for help?: a Bayesian approach to intelligent assistance. | Bowen Hui, Craig Boutilier |
| 2006 | UAI | Practical Linear Value-approximation Techniques for First-order MDPs. | Scott Sanner, Craig Boutilier |
| 2005 | AAAI | New Approaches to Optimization and Utility Elicitation in Autonomic Computing. | Relu Patrascu, Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh |
| 2005 | IJCAI | A Decision-Theoretic Approach to Task Assistance for Persons with Dementia. | Jennifer Boger, Pascal Poupart, Jesse Hoey, Craig Boutilier, Geoff R. Fernie, Alex Mihailidis |
| 2005 | IJCAI | Regret-based Utility Elicitation in Constraint-based Decision Problems. | Craig Boutilier, Relu Patrascu, Pascal Poupart, Dale Schuurmans |
| 2005 | UAI | Local Utility Elicitation in GAI Models. | Darius Braziunas, Craig Boutilier |
| 2005 | UAI | Approximate Linear Programming for First-order MDPs. | Scott Sanner, Craig Boutilier |
| 2004 | AAAI | Eliciting Bid Taker Non-price Preferences in (Combinatorial) Auctions. | Craig Boutilier, Tuomas Sandholm, Rob Shields |
| 2004 | AAAI | Stochastic Local Search for POMDP Controllers. | Darius Braziunas, Craig Boutilier |
| 2004 | UAI | Regret Minimizing Equilibria and Mechanisms for Games with Strict Type Uncertainty. | Nathanael Hyafil, Craig Boutilier |
| 2003 | AISTATS | An Active Approach to Collaborative Filtering. | Richard S. Zemel, Craig Boutilier |
| 2003 | CP | Constraint-Based Optimization with the Minimax Decision Criterion. | Craig Boutilier, Relu Patrascu, Pascal Poupart, Dale Schuurmans |
| 2003 | IJCAI | On the Foundations of Expected Expected Utility. | Craig Boutilier |
| 2003 | IJCAI | Towards Cooperative Negotiation for Decentralized Resource Allocation in Autonomic Computing Systems. | Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, William E. Walsh |
| 2003 | IJCAI | A Bayesian Approach to Imitation in Reinforcement Learning. | Bob Price, Craig Boutilier |
| 2003 | IJCAI | Incremental Utility Elicitation with the Minimax Regret Decision Criterion. | Tianhan Wang, Craig Boutilier |
| 2003 | UAI | Cooperative Negotiation in Autonomic Systems using Incremental Utility Elicitation. | Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart, Gerald Tesauro, William E. Walsh |
| 2003 | UAI | Active Collaborative Filtering. | Craig Boutilier, Richard S. Zemel, Benjamin M. Marlin |
| 2002 | AAAI | A POMDP Formulation of Preference Elicitation Problems. | Craig Boutilier |
| 2002 | AAAI | Solving Concisely Expressed Combinatorial Auction Problems. | Craig Boutilier |
| 2002 | AAAI | Greedy Linear Value-Approximation for Factored Markov Decision Processes. | Relu Patrascu, Pascal Poupart, Dale Schuurmans, Craig Boutilier, Carlos Guestrin |
| 2002 | AAAI | Piecewise Linear Value Function Approximation for Factored MDPs. | Pascal Poupart, Craig Boutilier, Relu Patrascu, Dale Schuurmans |
| 2001 | AI | Imitation and Reinforcement Learning in Agents with Heterogeneous Actions. | Bob Price, Craig Boutilier |
| 2001 | IJCAI | Bidding Languages for Combinatorial Auctions. | Craig Boutilier, Holger H. Hoos |
| 2001 | IJCAI | Symbolic Dynamic Programming for First-Order MDPs. | Craig Boutilier, Raymond Reiter, Bob Price |
| 2001 | UAI | UCP-Networks: A Directed Graphical Representation of Conditional Utilities. | Craig Boutilier, Fahiem Bacchus, Ronen I. Brafman |
| 2001 | UAI | Vector-space Analysis of Belief-state Approximation for POMDPs. | Pascal Poupart, Craig Boutilier |
| 2001 | UAI | Value-Directed Sampling Methods for POMDPs. | Pascal Poupart, Luis E. Ortiz, Craig Boutilier |
| 2000 | AAAI | Decision Making under Uncertainty: Operations Research Meets AI (Again). | Craig Boutilier |
| 2000 | AAAI | Decision-Theoretic, High-Level Agent Programming in the Situation Calculus. | Craig Boutilier, Raymond Reiter, Mikhail Soutchanski, Sebastian Thrun |
| 2000 | AAAI | Solving Combinatorial Auctions Using Stochastic Local Search. | Holger H. Hoos, Craig Boutilier |
| 2000 | UAI | Approximately Optimal Monitoring of Plan Preconditions. | Craig Boutilier |
| 2000 | UAI | Value-Directed Belief State Approximation for POMDPs. | Pascal Poupart, Craig Boutilier |
| 1999 | ICML | Implicit Imitation in Multiagent Reinforcement Learning. | Bob Price, Craig Boutilier |
| 1999 | IJCAI | Sequential Optimality and Coordination in Multiagent Systems. | Craig Boutilier |
| 1999 | IJCAI | Resource Allocation Using Sequential Auctions. | Craig Boutilier, Moiss Goldszmidt, Claire Monteleoni, Bikash Sabata |
| 1999 | IJCAI | Sequential Auctions for the Allocation of Resources with Complementarities. | Craig Boutilier, Moiss Goldszmidt, Bikash Sabata |
| 1999 | UAI | Reasoning With Conditional Ceteris Paribus Preference Statements. | Craig Boutilier, Ronen I. Brafman, Holger H. Hoos, David Poole |
| 1999 | UAI | Continuous Value Function Approximation for Sequential Bidding Policies. | Craig Boutilier, Moiss Goldszmidt, Bikash Sabata |
| 1999 | UAI | SPUDD: Stochastic Planning using Decision Diagrams. | Jesse Hoey, Robert St-Aubin, Alan J. Hu, Craig Boutilier |
| 1998 | AAAI | Belief Revision with Unreliable Observations. | Craig Boutilier, Nir Friedman, Joseph Y. Halpern |
| 1998 | AAAI | The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems. | Caroline Claus, Craig Boutilier |
| 1998 | AAAI | 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 |
| 1998 | UAI | Structured Reachability Analysis for Markov Decision Processes. | Craig Boutilier, Ronen I. Brafman, Christopher W. Geib |
| 1998 | UAI | Hierarchical Solution of Markov Decision Processes using Macro-actions. | Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier |
| 1997 | AAAI | Structured Solution Methods for Non-Markovian Decision Processes. | Fahiem Bacchus, Craig Boutilier, Adam J. Grove |
| 1997 | AAAI | Planning with Concurrent Interacting Actions. | Craig Boutilier, Ronen I. Brafman |
| 1997 | IJCAI | Prioritized Goal Decomposition of Markov Decision Processes: Toward a Synthesis of Classical and Decision Theoretic Planning. | Craig Boutilier, Ronen I. Brafman, Christopher W. Geib |
| 1997 | UAI | Correlated Action Effects in Decision Theoretic Regression. | Craig Boutilier |
| 1997 | UAI | Structured Arc Reversal and Simulation of Dynamic Probabilistic Networks. | Adrian Y. W. Cheuk, Craig Boutilier |
| 1996 | AAAI | Rewarding Behaviors. | Fahiem Bacchus, Craig Boutilier, Adam J. Grove |
| 1996 | AAAI | Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations. | Craig Boutilier, David Poole |
| 1996 | AI | The Frame Problem and Bayesian Network Action Representation. | Craig Boutilier, Moiss Goldszmidt |
| 1996 | ICML | Approximate Value Trees in Structured Dynamic Programming. | Craig Boutilier, Richard Dearden |
| 1996 | UAI | Learning Conventions in Multiagent Stochastic Domains using Likelihood Estimates. | Craig Boutilier |
| 1996 | UAI | Context-Specific Independence in Bayesian Networks. | Craig Boutilier, Nir Friedman, Moiss Goldszmidt, Daphne Koller |
| 1996 | TARK | Planning, Learning and Coordination in Multiagent Decision Processes. | Craig Boutilier |
| 1995 | IJCAI | Generalized Update: Belief Change in Dynamic Settings. | Craig Boutilier |
| 1995 | IJCAI | Exploiting Structure in Policy Construction. | Craig Boutilier, Richard Dearden, Moiss Goldszmidt |
| 1995 | IJCAI | Process-Oriented Planning and Average-Reward Optimality. | Craig Boutilier, Martin L. Puterman |
| 1994 | AAAI | Using Abstractions for Decision-Theoretic Planning with Time Constraints. | Craig Boutilier, Richard Dearden |
| 1994 | KR | Toward a Logic for Qualitative Decision Theory. | Craig Boutilier |
| 1994 | UAI | Integrating Planning and Execution in Stochastic Domains. | Richard Dearden, Craig Boutilier |
| 1993 | AAAI | Abduction As Belief Revision: A Model of Preferred Explanations. | Craig Boutilier, Vernica Becher |
| 1993 | AAAI | Revision by Conditional Beliefs. | Craig Boutilier, Moiss Goldszmidt |
| 1993 | IJCAI | Revision Sequences and Nested Conditionals. | Craig Boutilier |
| 1993 | UAI | The Probability of a Possibility: Adding Uncertainty to Default Rules. | Craig Boutilier |
| 1992 | AAAI | A Logic for Revision and Subjunctive Queries. | Craig Boutilier |
| 1992 | ECAI | Normative, Subjunctive and Autoepistemic Defaults. | Craig Boutilier |
| 1992 | KR | Normative, Subjunctive, and Autoepistemic Defaults: Adopting the Ramsey Test. | Craig Boutilier |
| 1992 | UAI | Modal Logics for Qualitative Possibility and Beliefs. | Craig Boutilier |
| 1991 | IJCAI | Inaccessible Worlds and Irrelevance: Preliminary Report. | Craig Boutilier |
| 1990 | AAAI | Conditional Logics of Normality as Modal Systems. | Craig Boutilier |
| 1989 | IJCAI | A Semantical Approach to Stable Inheritance Reasoning. | Craig Boutilier |