Anytime Coalition Structure Generation with Worst Case Guarantees. - Tuomas Sandholm; Kate Larson; Martin Andersson; Onn Shehory; Fernando Tohmé (AAAI/IAAI, 1998)

Coalition Structure Generation with Worst Case Guarantees. - Tuomas Sandholm; Kate Larson; Martin Andersson; Onn Shehory; Fernando Tohmé (Artif. Intell., 1999)

Deliberation in Equilibrium: Bargaining in Computationally Complex Problems. - Kate Larson; Tuomas Sandholm (AAAI/IAAI, 2000)

Anytime coalition structure generation: an average case study. - Kate Larson; Tuomas Sandholm (J. Exp. Theor. Artif. Intell., 2000)

Bargaining with limited computation: Deliberation equilibrium. - Kate Larson; Tuomas Sandholm (Artif. Intell., 2001)

An alternating offers bargaining model for computationally limited agents. - Kate Larson; Tuomas Sandholm (AAMAS, 2002)

Bidders with hard valuation problems. - Kate Larson; Tuomas Sandholm (AAMAS, 2002)

Miscomputing ratio: social cost of selfish computing. - Kate Larson; Tuomas Sandholm (AAMAS, 2003)

Using Performance Profile Trees to Improve Deliberation Control. - Kate Larson; Tuomas Sandholm (AAAI, 2004)

Designing Auctions for Deliberative Agents. - Kate Larson; Tuomas Sandholm (AMEC, 2004)

Experiments on Deliberation Equilibria in Auctions. - Kate Larson; Tuomas Sandholm (AAMAS, 2004)

Strategic deliberation and truthful revelation: an impossibility result. - Kate Larson; Tuomas Sandholm (EC, 2004)

Mechanism design and deliberative agents. - Kate Larson; Tuomas Sandholm (AAMAS, 2005)

Service Allocation for Composite Web Services Based on Quality Attributes. - Shahram Esmaeilsabzali; Kate Larson (CEC Workshops, 2005)

A reputation mechanism for layered communities. - Elodie Fourquet; Kate Larson; William B. Cowan (SIGecom Exch., 2006)

Reducing Interaction Costs for Self-interested Agents. - Yunqi Zhang; Kate Larson (AMEC/TADA, 2007)

Reducing Costly Information Acquisition in Auctions. - Kate Larson (Computational Social Systems and the Internet, 2007)

Pareto Optimality in Abstract Argumentation. - Iyad Rahwan; Kate Larson (AAAI, 2008)

Using adaptive consultation of experts to improve convergence rates in multiagent learning. - Greg Hines; Kate Larson (AAMAS (3), 2008)

Mechanism design for abstract argumentation. - Iyad Rahwan; Kate Larson (AAMAS (2), 2008)

A Trust-Based Incentive Mechanism for E-Marketplaces. - Jie Zhang 002; Robin Cohen; Kate Larson (AAMAS-TRUST, 2008)

Learning When to Take Advice: A Statistical Test for Achieving A Correlated Equilibrium. - Greg Hines; Kate Larson (UAI, 2008)

Argumentation and Game Theory. - Iyad Rahwan; Kate Larson (Argumentation in Artificial Intelligence, 2009)

Insuring Risk-Averse Agents. - Greg Hines; Kate Larson (ADT, 2009)

Eliciting Expert Advice in Service-Oriented Computing. - Enrico H. Gerding; Kate Larson; Nicholas R. Jennings (AMEC/TADA, 2009)

Coalitional affinity games. - Simina Brânzei; Kate Larson (AAMAS (2), 2009)

Coalitional Affinity Games and the Stability Gap. - Simina Brânzei; Kate Larson (IJCAI, 2009)

Exchanging Reputation Information between Communities: A Payment-Function Approach. - Georgia Kastidou; Kate Larson; Robin Cohen (IJCAI, 2009)

A Characterisation of Strategy-Proofness for Grounded Argumentation Semantics. - Iyad Rahwan; Kate Larson; Fernando A. Tohmé (IJCAI, 2009)

Flexible Procurement of Services with Uncertain Durations using Redundancy. - Sebastian Stein 001; Enrico H. Gerding; Alex Rogers; Kate Larson; Nicholas R. Jennings (IJCAI, 2009)

Mechanism Design for Task Procurement with Flexible Quality of Service. - Enrico H. Gerding; Kate Larson; Alex Rogers; Nicholas R. Jennings (SOCASE, 2009)

Not-So Hidden Information: Optimal Contracts for Undue Influence in E2E Voting Systems. - Jeremy Clark; Urs Hengartner; Kate Larson (VoteID, 2009)

Sharing a reward based on peer evaluations. - Arthur Carvalho; Kate Larson (AAMAS, 2010)

Scalable mechanism design for the procurement of services with uncertain durations. - Enrico H. Gerding; Sebastian Stein 001; Kate Larson; Alex Rogers; Nicholas R. Jennings (AAMAS, 2010)

Preference elicitation for risky prospects. - Greg Hines; Kate Larson (AAMAS, 2010)

An investigation of representations of combinatorial auctions. - David Loker; Kate Larson (AAMAS, 2010)

Parameterizing the winner determination problem for combinatorial auctions. - David Loker; Kate Larson (AAMAS, 2010)

Cultivating desired behaviour: policy teaching via environment-dynamics tweaks. - Zinovi Rabinovich; Lachlan Dufton; Kate Larson; Nicholas R. Jennings (AAMAS, 2010)

Argumentation Mechanism Design for Preferred Semantics. - Shengying Pan; Kate Larson; Iyad Rahwan (COMMA, 2010)

Leveraging a Social Network of Trust for Promoting Honesty in E-Marketplaces. - Jie Zhang 002; Robin Cohen; Kate Larson (IFIPTM, 2010)

Efficiently Eliciting Preferences from a Group of Users. - Greg Hines; Kate Larson (Interactive Decision Theory and Game Theory, 2011)

A truth serum for sharing rewards. - Arthur Carvalho; Kate Larson (AAMAS, 2011)

Social Distance Games. - Simina Brânzei; Kate Larson (IJCAI, 2011)

Algorithms and mechanisms for procuring services with uncertain durations using redundancy. - Sebastian Stein 001; Enrico H. Gerding; Alex Rogers; Kate Larson; Nicholas R. Jennings (Artif. Intell., 2011)

Logical mechanism design. - Iyad Rahwan; Kate Larson (Knowl. Eng. Rev., 2011)

Hand-Held Plasma Isolation Device for Point-of-Care Testing. - Rebecca Bercich; Jon Bernhard; Kate Larson; Jason Lindsey (IEEE Trans. Biomed. Eng., 2011)

Combining Trust Modeling and Mechanism Design for promoting Honesty in E-Marketplaces. - Jie Zhang 002; Robin Cohen; Kate Larson (Comput. Intell., 2012)

Matching Games with Additive Externalities - Simina Brânzei; Tomasz P. Michalak; Talal Rahwan; Kate Larson; Nicholas R. Jennings (CoRR, 2012)

Equilibria of Chinese Auctions - Simina Brânzei; Clara Forero; Kate Larson; Peter Bro Miltersen (CoRR, 2012)

Sharing Rewards Among Strangers Based on Peer Evaluations. - Arthur Carvalho; Kate Larson (Decis. Anal., 2012)

Resource Sharing for Control of Wildland Fires. - Alan Tsang; Kate Larson; Rob McAlpine (AAAI, 2013)

Matchings with externalities and attitudes. - Simina Brânzei; Tomasz P. Michalak; Talal Rahwan; Kate Larson; Nicholas R. Jennings (AAMAS, 2013)

Matching demand with supply in the smart grid using agent-based multiunit auction. - Tri Kurniawan Wijaya; Kate Larson; Karl Aberer (COMSNETS, 2013)

TrailView: Combining Gamification and Social Network Voting Mechanisms for Useful Data Collection. - Michael Peter Weingert; Kate Larson (HCOMP (Works in Progress / Demos), 2013)

A Consensual Linear Opinion Pool. - Arthur Carvalho; Kate Larson (IJCAI, 2013)

Proper Scoring Rules for Unobservable Outcomes: An Application to the Peer-Review Process. - Arthur Carvalho; Stanko Dimitrov; Kate Larson (CoRR, 2013)

Braess's Paradox for Flows over Time. - Martin Macko; Kate Larson; L'ubos Steskal (Theory Comput. Syst., 2013)

Opinion dynamics of skeptical agents. - Alan Tsang; Kate Larson (AAMAS, 2014)

Improving the efficiency of crowdsourcing contests. - Haifeng Xu; Kate Larson (AAMAS, 2014)

A Study on the Influence of the Number of MTurkers on the Quality of the Aggregate Output. - Arthur Carvalho; Stanko Dimitrov; Kate Larson (EUMAS, 2014)

The output-agreement method induces honest behavior in the presence of social projection. - Arthur Carvalho; Stanko Dimitrov; Kate Larson (SIGecom Exch., 2014)

Conventional Machine Learning for Social Choice. - John A. Doucette; Kate Larson; Robin Cohen (AAAI, 2015)

Matching with Dynamic Ordinal Preferences. - Hadi Hosseini; Kate Larson; Robin Cohen (AAAI, 2015)

On Manipulablity of Random Serial Dictatorship in Sequential Matching with Dynamic Preferences. - Hadi Hosseini; Kate Larson; Robin Cohen (AAAI, 2015)

Strategyproof Quota Mechanisms for Multiple Assignment Problems. - Hadi Hosseini; Kate Larson (CoRR, 2015)

Random Serial Dictatorship versus Probabilistic Serial Rule: A Tale of Two Random Mechanisms. - Hadi Hosseini; Kate Larson; Robin Cohen (CoRR, 2015)

Complexity of Manipulation in Elections with Partial Votes. - Vijay Menon 001; Kate Larson (CoRR, 2015)

Network Bargaining: Using Approximate Blocking Sets to Stabilize Unstable Instances. - Jochen Könemann; Kate Larson; David Steiner 002 (Theory Comput. Syst., 2015)

Reinstating Combinatorial Protections for Manipulation and Bribery in Single-Peaked and Nearly Single-Peaked Electorates. - Vijay Menon 001; Kate Larson (AAAI, 2016)

Big-Data Mechanisms and Energy-Policy Design. - Ankit Pat; Kate Larson; Srinivasen Keshav (AAAI, 2016)

Investigating the Characteristics of One-Sided Matching Mechanisms: (Extended Abstract). - Hadi Hosseini; Kate Larson; Robin Cohen (AAMAS, 2016)

The Echo Chamber: Strategic Voting and Homophily in Social Networks. - Alan Tsang; Kate Larson (AAMAS, 2016)

Dynamic Task Allocation Algorithm for Hiring Workers that Learn. - Shengying Pan; Kate Larson; Josh Bradshaw; Edith Law (IJCAI, 2016)

How many crowdsourced workers should a requester hire? - Arthur Carvalho; Stanko Dimitrov; Kate Larson (Ann. Math. Artif. Intell., 2016)

Deterministic, Strategyproof, and Fair Cake Cutting. - Vijay Menon 001; Kate Larson (IJCAI, 2017)

Computational aspects of strategic behaviour in elections with top-truncated ballots. - Vijay Menon 001; Kate Larson (Auton. Agents Multi Agent Syst., 2017)

Boundedly Rational Voters in Large(r) Networks. - Alan Tsang; Amirali Salehi-Abari; Kate Larson (AAMAS, 2018)

Expert Disagreement in Sequential Labeling: A Case Study on Adjudication in Medical Time Series Analysis. - Mike Schaekermann; Edith Law; Kate Larson; Andrew Lim 002 (SAD/CrowdBias@HCOMP, 2018)

Robust and Approximately Stable Marriages Under Partial Information. - Vijay Menon 001; Kate Larson (WINE, 2018)

Investigating the characteristics of one-sided matching mechanisms under various preferences and risk attitudes. - Hadi Hosseini; Kate Larson; Robin Cohen (Auton. Agents Multi Agent Syst., 2018)

Resolvable vs. Irresolvable Disagreement: A Study on Worker Deliberation in Crowd Work. - Mike Schaekermann; Joslin Goh; Kate Larson; Edith Law (Proc. ACM Hum. Comput. Interact., 2018)

Multiple Assignment Problems under Lexicographic Preferences. - Hadi Hosseini; Kate Larson (AAMAS, 2019)

Mechanism Design for Locating a Facility Under Partial Information. - Vijay Menon 001; Kate Larson (SAGT, 2019)

Capturing Expert Arguments from Medical Adjudication Discussions in a Machine-readable Format. - Mike Schaekermann; Graeme Beaton; Minahz Habib; Andrew Lim 002; Kate Larson; Edith Law (WWW (Companion Volume), 2019)

Inferring true voting outcomes in homophilic social networks. - John A. Doucette; Alan Tsang; Hadi Hosseini; Kate Larson; Robin Cohen (Auton. Agents Multi Agent Syst., 2019)

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

Understanding Expert Disagreement in Medical Data Analysis through Structured Adjudication. - Mike Schaekermann; Graeme Beaton; Minahz Habib; Andrew Lim 002; Kate Larson; Edith Law (Proc. ACM Hum. Comput. Interact., 2019)

Paying Crowd Workers for Collaborative Work. - Greg d'Eon; Joslin Goh; Kate Larson; Edith Law (Proc. ACM Hum. Comput. Interact., 2019)

Testing Axioms Against Human Reward Divisions in Cooperative Games. - Greg d'Eon; Kate Larson (AAMAS, 2020)

Ambiguity-aware AI Assistants for Medical Data Analysis. - Mike Schaekermann; Graeme Beaton; Elaheh Sanoubari; Andrew Lim 002; Kate Larson; Edith Law (CHI, 2020)

Can Future Wireless Networks Detect Fires? - David Radke; Omid Abari; Tim Brecht; Kate Larson (BuildSys, 2020)

Algorithmic Stability in Fair Allocation of Indivisible Goods Among Two Agents. - Vijay Menon 001; Kate Larson (CoRR, 2020)

Improving Welfare in One-sided Matching using Simple Threshold Queries. - Thomas Ma; Vijay Menon 001; Kate Larson (CoRR, 2020)

Open Problems in Cooperative AI. - Allan Dafoe; Edward Hughes 001; Yoram Bachrach; Tantum Collins; Kevin R. McKee; Joel Z. Leibo; Kate Larson; Thore Graepel (CoRR, 2020)

Improving Welfare in One-Sided Matchings using Simple Threshold Queries. - Thomas Ma; Vijay Menon 001; Kate Larson (IJCAI, 2021)

Group recommendation with noisy subjective preferences. - Amirali Salehi-Abari; Kate Larson (Comput. Intell., 2021)

A taxonomy of strategic human interactions in traffic conflicts. - Atrisha Sarkar; Kate Larson; Krzysztof Czarnecki 001 (CoRR, 2021)

Generalized Dynamic Cognitive Hierarchy Models for Strategic Driving Behavior. - Atrisha Sarkar; Kate Larson; Krzysztof Czarnecki 001 (AAAI, 2022)

How Should We Vote? A Comparison of Voting Systems within Social Networks. - Shiri Alouf-Heffetz; Ben Armstrong; Kate Larson; Nimrod Talmon (IJCAI, 2022)

Exploring the Benefits of Teams in Multiagent Learning. - David Radke; Kate Larson; Tim Brecht (IJCAI, 2022)

Developing, evaluating and scaling learning agents in multi-agent environments. - Ian Gemp; Thomas W. Anthony 001; Yoram Bachrach; Avishkar Bhoopchand; Kalesha Bullard; Jerome T. Connor; Vibhavari Dasagi; Bart De Vylder; Edgar A. Duéñez-Guzmán; Romuald Elie; Richard Everett 001; Daniel Hennes; et al. (AI Commun., 2022)

Multi-Agent Advisor Q-Learning. - Sriram Ganapathi Subramanian; Matthew E. Taylor; Kate Larson; Mark Crowley 001 (J. Artif. Intell. Res., 2022)

Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games. - Zun Li 002; Marc Lanctot; Kevin R. McKee; Luke Marris; Ian Gemp; Daniel Hennes; Kate Larson; Yoram Bachrach; Michael P. Wellman; Paul Muller (AAMAS, 2023)

The Importance of Credo in Multiagent Learning. - David Radke; Kate Larson; Tim Brecht (AAMAS, 2023)

Revealed Multi-Objective Utility Aggregation in Human Driving. - Atrisha Sarkar; Kate Larson; Krzysztof Czarnecki 001 (AAMAS, 2023)

Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning. - Sriram Ganapathi Subramanian; Matthew E. Taylor; Kate Larson; Mark Crowley 001 (AAMAS, 2023)

Deliberation and Voting in Approval-Based Multi-Winner Elections. - Kanav Mehra; Nanda Kishore Sreenivas; Kate Larson (IJCAI, 2023)

Towards a Better Understanding of Learning with Multiagent Teams. - David Radke; Kate Larson; Tim Brecht; Kyle Tilbury (IJCAI, 2023)

Multi-Agent Advisor Q-Learning (Extended Abstract). - Sriram Ganapathi Subramanian; Matthew E. Taylor; Kate Larson; Mark Crowley 001 (IJCAI, 2023)

Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning. - Zun Li 002; Marc Lanctot; Kevin R. McKee; Luke Marris; Ian Gemp; Daniel Hennes; Paul Muller; Kate Larson; Yoram Bachrach; Michael P. Wellman (CoRR, 2023)

Evaluating Agents using Social Choice Theory. - Marc Lanctot; Kate Larson; Yoram Bachrach; Luke Marris; Zun Li 002; Avishkar Bhoopchand; Thomas W. Anthony 001; Brian Tanner; Anna Koop (CoRR, 2023)

Liquid Ensemble Selection for Continual Learning. - Carter Blair; Ben Armstrong; Kate Larson (Canadian AI, 2024)

Liquid Democracy for Low-Cost Ensemble Pruning. - Ben Armstrong; Kate Larson (AAMAS, 2024)

Approximating the Core via Iterative Coalition Sampling. - Ian Gemp; Marc Lanctot; Luke Marris; Yiran Mao; Edgar A. Duéñez-Guzmán; Sarah Perrin; András György 001; Romuald Elie; Georgios Piliouras; Michael Kaisers; Daniel Hennes; Kalesha Bullard; et al. (AAMAS, 2024)

Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models. - Marvin Pafla; Kate Larson; Mark Hancock (CHI, 2024)

Democratizing Reward Design for Personal and Representative Value-Alignment. - Carter Blair; Kate Larson; Edith Law (CoRR, 2024)

Imagining and building wise machines: The centrality of AI metacognition. - Samuel G. B. Johnson; Amir-Hossein Karimi; Yoshua Bengio; Nick Chater; Tobias Gerstenberg; Kate Larson; Sydney Levine; Melanie Mitchell; Iyad Rahwan; Bernhard Schölkopf; Igor Grossmann (CoRR, 2024)

Game of Thoughts: Iterative Reasoning in Game-Theoretic Domains with Large Language Models. - Benjamin Kempinski; Ian Gemp; Kate Larson; Marc Lanctot; Yoram Bachrach; Tal Kachman (AAMAS, 2025)

Soft Condorcet Optimization for Ranking of General Agents. - Marc Lanctot; Kate Larson; Michael Kaisers; Quentin Berthet; Ian Gemp; Manfred Diaz; Roberto-Rafael Maura-Rivero; Yoram Bachrach; Anna Koop; Doina Precup (AAMAS, 2025)

Jackpot! Alignment as a Maximal Lottery. - Roberto-Rafael Maura-Rivero; Marc Lanctot; Francesco Visin; Kate Larson (CoRR, 2025)

Multi-Agent Risks from Advanced AI. - Lewis Hammond; Alan Chan; Jesse Clifton; Jason Hoelscher-Obermaier; Akbir Khan; Euan McLean; Chandler Smith; Wolfram Barfuss; Jakob N. Foerster; Tomas Gavenciak; The Anh Han; Edward Hughes 001; et al. (CoRR, 2025)

Natural interviewing equilibria in matching settings. - Allan Borodin; Joanna Drummond; Kate Larson; Omer Lev (Soc. Choice Welf., 2025)

Reflective Verbal Reward Design for Pluralistic Alignment. - Carter Blair; Kate Larson; Edith Law (CoRR, 2025)

What Voting Rules Actually Do: A Data-Driven Analysis of Multi-Winner Voting. - Joshua Caiata; Ben Armstrong; Kate Larson (CoRR, 2025)

From Individual to Multi-Agent Algorithmic Recourse: Minimizing the Welfare Gap via Capacitated Bipartite Matching. - Zahra Khotanlou; Kate Larson; Amir-Hossein Karimi (CoRR, 2025)