| 2026 | AAAI | What Voting Rules Actually Do: A Data-Driven Analysis of Multi-Winner Voting. | Joshua Caiata, Ben Armstrong, Kate Larson |
| 2026 | AAAI | The Alignment Game: A Theory of Long-Horizon Alignment Through Recursive Curation. | Ali Falahati, Mohammad Mohammadi Amiri, Kate Larson, Lukasz Golab |
| 2025 | IJCAI | Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling. | Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman |
| 2025 | IJCAI | Reflective Verbal Reward Design for Pluralistic Alignment. | Carter Blair, Kate Larson, Edith Law |
| 2024 | AI | Liquid Ensemble Selection for Continual Learning. | Carter Blair, Ben Armstrong, Kate Larson |
| 2024 | CHI | Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models. | Marvin Pafla, Kate Larson, Mark Hancock |
| 2023 | IJCAI | Deliberation and Voting in Approval-Based Multi-Winner Elections. | Kanav Mehra, Nanda Kishore Sreenivas, Kate Larson |
| 2023 | IJCAI | Towards a Better Understanding of Learning with Multiagent Teams. | David Radke, Kate Larson, Tim Brecht, Kyle Tilbury |
| 2023 | IJCAI | Multi-Agent Advisor Q-Learning (Extended Abstract). | Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley |
| 2022 | AAAI | Generalized Dynamic Cognitive Hierarchy Models for Strategic Driving Behavior. | Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki |
| 2022 | IJCAI | How Should We Vote? A Comparison of Voting Systems within Social Networks. | Shiri Alouf-Heffetz, Ben Armstrong, Kate Larson, Nimrod Talmon |
| 2022 | IJCAI | Exploring the Benefits of Teams in Multiagent Learning. | David Radke, Kate Larson, Tim Brecht |
| 2021 | IJCAI | Improving Welfare in One-Sided Matchings using Simple Threshold Queries. | Thomas Ma, Vijay Menon, Kate Larson |
| 2020 | CHI | Ambiguity-aware AI Assistants for Medical Data Analysis. | Mike Schaekermann, Graeme Beaton, Elaheh Sanoubari, Andrew Lim, Kate Larson, Edith Law |
| 2020 | SENSYS | Can Future Wireless Networks Detect Fires? | David Radke, Omid Abari, Tim Brecht, Kate Larson |
| 2019 | WWW | Capturing Expert Arguments from Medical Adjudication Discussions in a Machine-readable Format. | Mike Schaekermann, Graeme Beaton, Minahz Habib, Andrew Lim, Kate Larson, Edith Law |
| 2019 | SAGT | Mechanism Design for Locating a Facility Under Partial Information. | Vijay Menon, Kate Larson |
| 2018 | HCOMP | Expert Disagreement in Sequential Labeling: A Case Study on Adjudication in Medical Time Series Analysis. | Mike Schaekermann, Edith Law, Kate Larson, Andrew Lim |
| 2017 | IJCAI | Deterministic, Strategyproof, and Fair Cake Cutting. | Vijay Menon, Kate Larson |
| 2016 | AAAI | Reinstating Combinatorial Protections for Manipulation and Bribery in Single-Peaked and Nearly Single-Peaked Electorates. | Vijay Menon, Kate Larson |
| 2016 | AAAI | Big-Data Mechanisms and Energy-Policy Design. | Ankit Pat, Kate Larson, Srinivasen Keshav |
| 2016 | IJCAI | Dynamic Task Allocation Algorithm for Hiring Workers that Learn. | Shengying Pan, Kate Larson, Josh Bradshaw, Edith Law |
| 2015 | AAAI | Conventional Machine Learning for Social Choice. | John A. Doucette, Kate Larson, Robin Cohen |
| 2015 | AAAI | Matching with Dynamic Ordinal Preferences. | Hadi Hosseini, Kate Larson, Robin Cohen |
| 2015 | AAAI | On Manipulablity of Random Serial Dictatorship in Sequential Matching with Dynamic Preferences. | Hadi Hosseini, Kate Larson, Robin Cohen |
| 2014 | EUMAS | A Study on the Influence of the Number of MTurkers on the Quality of the Aggregate Output. | Arthur Carvalho, Stanko Dimitrov, Kate Larson |
| 2013 | AAAI | Resource Sharing for Control of Wildland Fires. | Alan Tsang, Kate Larson, Rob McAlpine |
| 2013 | COMSNETS | Matching demand with supply in the smart grid using agent-based multiunit auction. | Tri Kurniawan Wijaya, Kate Larson, Karl Aberer |
| 2013 | HCOMP | TrailView: Combining Gamification and Social Network Voting Mechanisms for Useful Data Collection. | Michael Peter Weingert, Kate Larson |
| 2013 | IJCAI | A Consensual Linear Opinion Pool. | Arthur Carvalho, Kate Larson |
| 2012 | SAGT | Network Bargaining: Using Approximate Blocking Sets to Stabilize Unstable Instances. | Jochen Knemann, Kate Larson, David Steiner |
| 2011 | AAAI | Efficiently Eliciting Preferences from a Group of Users. | Greg Hines, Kate Larson |
| 2011 | IJCAI | Social Distance Games. | Simina Brnzei, Kate Larson |
| 2010 | COMMA | Argumentation Mechanism Design for Preferred Semantics. | Shengying Pan, Kate Larson, Iyad Rahwan |
| 2010 | SAGT | Braess's Paradox for Flows over Time. | Martin Macko, Kate Larson, L'ubos Steskal |
| 2009 | IJCAI | Coalitional Affinity Games and the Stability Gap. | Simina Brnzei, Kate Larson |
| 2009 | IJCAI | Exchanging Reputation Information between Communities: A Payment-Function Approach. | Georgia Kastidou, Kate Larson, Robin Cohen |
| 2009 | IJCAI | A Characterisation of Strategy-Proofness for Grounded Argumentation Semantics. | Iyad Rahwan, Kate Larson, Fernando A. Tohm |
| 2009 | IJCAI | Flexible Procurement of Services with Uncertain Durations using Redundancy. | Sebastian Stein, Enrico H. Gerding, Alex Rogers, Kate Larson, Nicholas R. Jennings |
| 2008 | AAAI | Pareto Optimality in Abstract Argumentation. | Iyad Rahwan, Kate Larson |
| 2008 | UAI | Learning When to Take Advice: A Statistical Test for Achieving A Correlated Equilibrium. | Greg Hines, Kate Larson |
| 2004 | AAAI | Using Performance Profile Trees to Improve Deliberation Control. | Kate Larson, Tuomas Sandholm |
| 2000 | AAAI | Deliberation in Equilibrium: Bargaining in Computationally Complex Problems. | Kate Larson, Tuomas Sandholm |
| 1998 | AAAI | Anytime Coalition Structure Generation with Worst Case Guarantees. | Tuomas Sandholm, Kate Larson, Martin Andersson, Onn Shehory, Fernando Tohm |