Kate Larson - RankMe

171 papers A* 30A 33B 3C 2Misc 1Journal 74Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Active Evaluation of General Agents: Problem Definition and Comparison of Baseline Algorithms. CoRR Marc Lanctot, Kate Larson, Ian Gemp, Michael Kaisers
2026	J	`jnl`	Procedural Fairness in Multi-Agent Bandits. CoRR Joshua Caiata, Carter Blair, Kate Larson
2026	A*	`conf`	The Alignment Game: A Theory of Long-Horizon Alignment Through Recursive Curation. AAAI Ali Falahati, Mohammad Mohammadi Amiri, Kate Larson, Lukasz Golab
2026	A*	`conf`	What Voting Rules Actually Do: A Data-Driven Analysis of Multi-Winner Voting. AAAI Joshua Caiata, Ben Armstrong, Kate Larson
2025	A*	`conf`	Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling. IJCAI Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman
2025	J	`jnl`	From Individual to Multi-Agent Algorithmic Recourse: Minimizing the Welfare Gap via Capacitated Bipartite Matching. CoRR Zahra Khotanlou, Kate Larson, Amir-Hossein Karimi
2025	A	`conf`	Game of Thoughts: Iterative Reasoning in Game-Theoretic Domains with Large Language Models. AAMAS Benjamin Kempinski, Ian Gemp, Kate Larson, Marc Lanctot, Yoram Bachrach, Tal Kachman
2025	J	`jnl`	Generating Fair Consensus Statements with Social Choice on Token-Level MDPs. CoRR Carter Blair, Kate Larson
2025	J	`jnl`	Jackpot! Alignment as a Maximal Lottery. CoRR Roberto-Rafael Maura-Rivero, Marc Lanctot, Francesco Visin, Kate Larson
2025	J	`jnl`	Multi-Agent Risks from Advanced AI. CoRR 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, Vojtech Kovarík, Jan Kulveit, Joel Z. Leibo, Caspar Oesterheld, Christian Schröder de Witt, Nisarg Shah, Michael P. Wellman, Paolo Bova, Theodor Cimpeanu, Carson Ezell, Quentin Feuillade-Montixi, Matija Franklin, Esben Kran, Igor Krawczuk, Max Lamparth, Niklas Lauffer, Alexander Meinke, Sumeet Motwani, Anka Reuel, Vincent Conitzer, Michael Dennis, Iason Gabriel, Adam Gleave, Gillian K. Hadfield, Nika Haghtalab, Atoosa Kasirzadeh, Sébastien Krier, Kate Larson, Joel Lehman, David C. Parkes, Georgios Piliouras, Iyad Rahwan
2025	J	`jnl`	Natural interviewing equilibria in matching settings. Soc. Choice Welf. Allan Borodin, Joanna Drummond, Kate Larson, Omer Lev
2025	A*	`conf`	Reflective Verbal Reward Design for Pluralistic Alignment. IJCAI Carter Blair, Kate Larson, Edith Law
2025	J	`jnl`	Reflective Verbal Reward Design for Pluralistic Alignment. CoRR Carter Blair, Kate Larson, Edith Law
2025	A	`conf`	Soft Condorcet Optimization for Ranking of General Agents. AAMAS Marc Lanctot, Kate Larson, Michael Kaisers, Quentin Berthet, Ian Gemp, Manfred Diaz, Roberto-Rafael Maura-Rivero, Yoram Bachrach, Anna Koop, Doina Precup
2025	J	`jnl`	The Alignment Game: A Theory of Long-Horizon Alignment Through Recursive Curation. CoRR Ali Falahati, Mohammad Mohammadi Amiri, Kate Larson, Lukasz Golab
2025	J	`jnl`	What Voting Rules Actually Do: A Data-Driven Analysis of Multi-Winner Voting. CoRR Joshua Caiata, Ben Armstrong, Kate Larson
2024	A	`conf`	Approximating the Core via Iterative Coalition Sampling. AAMAS Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, András György, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
2024	J	`jnl`	Approximating the Core via Iterative Coalition Sampling. CoRR Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, András György, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
2024	J	`jnl`	Democratizing Reward Design for Personal and Representative Value-Alignment. CoRR Carter Blair, Kate Larson, Edith Law
2024	J	`jnl`	Imagining and building wise machines: The centrality of AI metacognition. CoRR 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
2024	A	`conf`	Liquid Democracy for Low-Cost Ensemble Pruning. AAMAS Ben Armstrong, Kate Larson
2024	J	`jnl`	Liquid Democracy for Low-Cost Ensemble Pruning. CoRR Ben Armstrong, Kate Larson
2024	—	`conf`	Liquid Ensemble Selection for Continual Learning. Canadian AI Carter Blair, Ben Armstrong, Kate Larson
2024	J	`jnl`	Liquid Ensemble Selection for Continual Learning. CoRR Carter Blair, Ben Armstrong, Kate Larson
2024	J	`jnl`	Soft Condorcet Optimization for Ranking of General Agents. CoRR Marc Lanctot, Kate Larson, Michael Kaisers, Quentin Berthet, Ian Gemp, Manfred Diaz, Roberto-Rafael Maura-Rivero, Yoram Bachrach, Anna Koop, Doina Precup
2024	A*	`conf`	Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models. CHI Marvin Pafla, Kate Larson, Mark Hancock
2024	J	`jnl`	Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models. CoRR Marvin Pafla, Kate Larson, Mark Hancock
2023	J	`jnl`	Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning. CoRR Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman
2023	A*	`conf`	Deliberation and Voting in Approval-Based Multi-Winner Elections. IJCAI Kanav Mehra, Nanda Kishore Sreenivas, Kate Larson
2023	J	`jnl`	Deliberation and Voting in Approval-Based Multi-Winner Elections. CoRR Kanav Mehra, Nanda Kishore Sreenivas, Kate Larson
2023	—	`conf`	Deliberation and Voting in Approval-Based Multi-winner Elections. AAMAS Workshops Kanav Mehra, Nanda Kishore Sreenivas, Kate Larson
2023	J	`jnl`	Evaluating Agents using Social Choice Theory. CoRR Marc Lanctot, Kate Larson, Yoram Bachrach, Luke Marris, Zun Li, Avishkar Bhoopchand, Thomas W. Anthony, Brian Tanner, Anna Koop
2023	A	`conf`	Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning. AAMAS Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
2023	J	`jnl`	Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning. CoRR Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
2023	A*	`conf`	Multi-Agent Advisor Q-Learning (Extended Abstract). IJCAI Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
2023	A	`conf`	Revealed Multi-Objective Utility Aggregation in Human Driving. AAMAS Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
2023	J	`jnl`	Revealed Multi-Objective Utility Aggregation in Human Driving. CoRR Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
2023	A	`conf`	Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games. AAMAS Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Kate Larson, Yoram Bachrach, Michael P. Wellman, Paul Muller
2023	A	`conf`	The Importance of Credo in Multiagent Learning. AAMAS David Radke, Kate Larson, Tim Brecht
2023	A*	`conf`	Towards a Better Understanding of Learning with Multiagent Teams. IJCAI David Radke, Kate Larson, Tim Brecht, Kyle Tilbury
2023	J	`jnl`	Towards a Better Understanding of Learning with Multiagent Teams. CoRR David Radke, Kate Larson, Tim Brecht, Kyle Tilbury
2022	J	`jnl`	Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments. CoRR Ian Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar A. Duéñez-Guzmán, Romuald Elie, Richard Everett, Daniel Hennes, Edward Hughes, Mina Khan, Marc Lanctot, Kate Larson, Guy Lever, Siqi Liu, Luke Marris, Kevin R. McKee, Paul Muller, Julien Pérolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls
2022	J	`jnl`	Developing, evaluating and scaling learning agents in multi-agent environments. AI Commun. Ian Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar A. Duéñez-Guzmán, Romuald Elie, Richard Everett, Daniel Hennes, Edward Hughes, Mina Khan, Marc Lanctot, Kate Larson, Guy Lever, Siqi Liu, Luke Marris, Kevin R. McKee, Paul Muller, Julien Pérolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls
2022	A*	`conf`	Exploring the Benefits of Teams in Multiagent Learning. IJCAI David Radke, Kate Larson, Tim Brecht
2022	J	`jnl`	Exploring the Benefits of Teams in Multiagent Learning. CoRR David Radke, Kate Larson, Tim Brecht
2022	A*	`conf`	Generalized Dynamic Cognitive Hierarchy Models for Strategic Driving Behavior. AAAI Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
2022	A*	`conf`	How Should We Vote? A Comparison of Voting Systems within Social Networks. IJCAI Shiri Alouf-Heffetz, Ben Armstrong, Kate Larson, Nimrod Talmon
2022	J	`jnl`	Multi-Agent Advisor Q-Learning. J. Artif. Intell. Res. Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
2022	J	`jnl`	The Importance of Credo in Multiagent Learning. CoRR David Radke, Kate Larson, Tim Brecht
2021	J	`jnl`	A taxonomy of strategic human interactions in traffic conflicts. CoRR Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
2021	J	`jnl`	Generalized dynamic cognitive hierarchy models for strategic driving behavior. CoRR Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
2021	J	`jnl`	Group recommendation with noisy subjective preferences. Comput. Intell. Amirali Salehi-Abari, Kate Larson
2021	A*	`conf`	Improving Welfare in One-Sided Matchings using Simple Threshold Queries. IJCAI Thomas Ma, Vijay Menon, Kate Larson
2021	J	`jnl`	Multi-Agent Advisor Q-Learning. CoRR Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
2020	J	`jnl`	Algorithmic Stability in Fair Allocation of Indivisible Goods Among Two Agents. CoRR Vijay Menon, Kate Larson
2020	A*	`conf`	Ambiguity-aware AI Assistants for Medical Data Analysis. CHI Mike Schaekermann, Graeme Beaton, Elaheh Sanoubari, Andrew Lim, Kate Larson, Edith Law
2020	—	`conf`	Can Future Wireless Networks Detect Fires? BuildSys David Radke, Omid Abari, Tim Brecht, Kate Larson
2020	J	`jnl`	Improving Welfare in One-sided Matching using Simple Threshold Queries. CoRR Thomas Ma, Vijay Menon, Kate Larson
2020	A	`conf`	Inferring True Voting Outcomes in Homophilic Social Networks. AAMAS John A. Doucette, Alan Tsang, Hadi Hosseini, Kate Larson, Robin Cohen
2020	J	`jnl`	Open Problems in Cooperative AI. CoRR Allan Dafoe, Edward Hughes, Yoram Bachrach, Tantum Collins, Kevin R. McKee, Joel Z. Leibo, Kate Larson, Thore Graepel
2020	A	`conf`	Testing Axioms Against Human Reward Divisions in Cooperative Games. AAMAS Greg d'Eon, Kate Larson
2019	—	`conf`	Capturing Expert Arguments from Medical Adjudication Discussions in a Machine-readable Format. WWW (Companion Volume) Mike Schaekermann, Graeme Beaton, Minahz Habib, Andrew Lim, Kate Larson, Edith Law
2019	J	`jnl`	Empathetic decision making in social networks. Artif. Intell. Amirali Salehi-Abari, Craig Boutilier, Kate Larson
2019	J	`jnl`	Inferring true voting outcomes in homophilic social networks. Auton. Agents Multi Agent Syst. John A. Doucette, Alan Tsang, Hadi Hosseini, Kate Larson, Robin Cohen
2019	B	`conf`	Mechanism Design for Locating a Facility Under Partial Information. SAGT Vijay Menon, Kate Larson
2019	J	`jnl`	Mechanism Design for Locating a Facility under Partial Information. CoRR Vijay Menon, Kate Larson
2019	A	`conf`	Multiple Assignment Problems under Lexicographic Preferences. AAMAS Hadi Hosseini, Kate Larson
2019	J	`jnl`	Paying Crowd Workers for Collaborative Work. Proc. ACM Hum. Comput. Interact. Greg d'Eon, Joslin Goh, Kate Larson, Edith Law
2019	J	`jnl`	Understanding Expert Disagreement in Medical Data Analysis through Structured Adjudication. Proc. ACM Hum. Comput. Interact. Mike Schaekermann, Graeme Beaton, Minahz Habib, Andrew Lim, Kate Larson, Edith Law
2018	A	`conf`	Boundedly Rational Voters in Large(r) Networks. AAMAS Alan Tsang, Amirali Salehi-Abari, Kate Larson
2018	—	`conf`	Expert Disagreement in Sequential Labeling: A Case Study on Adjudication in Medical Time Series Analysis. SAD/CrowdBias@HCOMP Mike Schaekermann, Edith Law, Kate Larson, Andrew Lim
2018	J	`jnl`	Investigating the characteristics of one-sided matching mechanisms under various preferences and risk attitudes. Auton. Agents Multi Agent Syst. Hadi Hosseini, Kate Larson, Robin Cohen
2018	J	`jnl`	Resolvable vs. Irresolvable Disagreement: A Study on Worker Deliberation in Crowd Work. Proc. ACM Hum. Comput. Interact. Mike Schaekermann, Joslin Goh, Kate Larson, Edith Law
2018	—	`conf`	Robust and Approximately Stable Marriages Under Partial Information. WINE Vijay Menon, Kate Larson
2018	J	`jnl`	Robust and Approximately Stable Marriages under Partial Information. CoRR Vijay Menon, Kate Larson
2017	J	`jnl`	Computational aspects of strategic behaviour in elections with top-truncated ballots. Auton. Agents Multi Agent Syst. Vijay Menon, Kate Larson
2017	A*	`conf`	Deterministic, Strategyproof, and Fair Cake Cutting. IJCAI Vijay Menon, Kate Larson
2017	J	`jnl`	Deterministic, Strategyproof, and Fair Cake Cutting. CoRR Vijay Menon, Kate Larson
2017	J	`jnl`	Investigating the Characteristics of One-Sided Matching Mechanisms Under Various Preferences and Risk Attitudes. CoRR Hadi Hosseini, Kate Larson, Robin Cohen
2017	A	`ed.`	Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2017, São Paulo, Brazil, May 8-12, 2017 AAMAS Kate Larson, Michael Winikoff, Sanmay Das, Edmund H. Durfee
2016	A*	`conf`	Big-Data Mechanisms and Energy-Policy Design. AAAI Ankit Pat, Kate Larson, Srinivasen Keshav
2016	A*	`conf`	Dynamic Task Allocation Algorithm for Hiring Workers that Learn. IJCAI Shengying Pan, Kate Larson, Josh Bradshaw, Edith Law
2016	J	`jnl`	How many crowdsourced workers should a requester hire? Ann. Math. Artif. Intell. Arthur Carvalho, Stanko Dimitrov, Kate Larson
2016	A	`conf`	Investigating the Characteristics of One-Sided Matching Mechanisms: (Extended Abstract). AAMAS Hadi Hosseini, Kate Larson, Robin Cohen
2016	A*	`conf`	Reinstating Combinatorial Protections for Manipulation and Bribery in Single-Peaked and Nearly Single-Peaked Electorates. AAAI Vijay Menon, Kate Larson
2016	A	`conf`	The Echo Chamber: Strategic Voting and Homophily in Social Networks. AAMAS Alan Tsang, Kate Larson
2015	J	`jnl`	Complexity of Manipulation in Elections with Partial Votes. CoRR Vijay Menon, Kate Larson
2015	A*	`conf`	Conventional Machine Learning for Social Choice. AAAI John A. Doucette, Kate Larson, Robin Cohen
2015	A*	`conf`	Matching with Dynamic Ordinal Preferences. AAAI Hadi Hosseini, Kate Larson, Robin Cohen
2015	J	`jnl`	Network Bargaining: Using Approximate Blocking Sets to Stabilize Unstable Instances. Theory Comput. Syst. Jochen Könemann, Kate Larson, David Steiner
2015	A*	`conf`	On Manipulablity of Random Serial Dictatorship in Sequential Matching with Dynamic Preferences. AAAI Hadi Hosseini, Kate Larson, Robin Cohen
2015	J	`jnl`	Random Serial Dictatorship versus Probabilistic Serial Rule: A Tale of Two Random Mechanisms. CoRR Hadi Hosseini, Kate Larson, Robin Cohen
2015	J	`jnl`	Reinstating Combinatorial Protections for Manipulation and Bribery in Single-Peaked and Nearly Single-Peaked Electorates. CoRR Vijay Menon, Kate Larson
2015	J	`jnl`	Strategyproof Quota Mechanisms for Multiple Assignment Problems. CoRR Hadi Hosseini, Kate Larson
2014	C	`conf`	A Study on the Influence of the Number of MTurkers on the Quality of the Aggregate Output. EUMAS Arthur Carvalho, Stanko Dimitrov, Kate Larson
2014	A	`conf`	Improving the efficiency of crowdsourcing contests. AAMAS Haifeng Xu, Kate Larson
2014	A	`conf`	Opinion dynamics of skeptical agents. AAMAS Alan Tsang, Kate Larson
2014	J	`jnl`	The output-agreement method induces honest behavior in the presence of social projection. SIGecom Exch. Arthur Carvalho, Stanko Dimitrov, Kate Larson
2013	A*	`conf`	A Consensual Linear Opinion Pool. IJCAI Arthur Carvalho, Kate Larson
2013	J	`jnl`	A Truth Serum for Sharing Rewards CoRR Arthur Carvalho, Kate Larson
2013	J	`jnl`	Braess's Paradox for Flows over Time. Theory Comput. Syst. Martin Macko, Kate Larson, L'ubos Steskal
2013	J	`jnl`	Matching Demand with Supply in the Smart Grid using Agent-Based Multiunit Auction. CoRR Tri Kurniawan Wijaya, Kate Larson, Karl Aberer
2013	Misc	`conf`	Matching demand with supply in the smart grid using agent-based multiunit auction. COMSNETS Tri Kurniawan Wijaya, Kate Larson, Karl Aberer
2013	A	`conf`	Matchings with externalities and attitudes. AAMAS Simina Brânzei, Tomasz P. Michalak, Talal Rahwan, Kate Larson, Nicholas R. Jennings
2013	J	`jnl`	Proper Scoring Rules for Unobservable Outcomes: An Application to the Peer-Review Process. CoRR Arthur Carvalho, Stanko Dimitrov, Kate Larson
2013	A*	`conf`	Resource Sharing for Control of Wildland Fires. AAAI Alan Tsang, Kate Larson, Rob McAlpine
2013	J	`jnl`	Sharing a Reward Based on Peer Evaluations. CoRR Arthur Carvalho, Kate Larson
2013	—	`conf`	TrailView: Combining Gamification and Social Network Voting Mechanisms for Useful Data Collection. HCOMP (Works in Progress / Demos) Michael Peter Weingert, Kate Larson
2012	J	`jnl`	A Consensual Linear Opinion Pool CoRR Arthur Carvalho, Kate Larson
2012	—	`ed.`	Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets - AMEC 2010, Toronto, ON, Canada, May 10, 2010, and TADA 2010, Cambridge, MA, USA, June 7, 2010 Revised Selected Papers AMEC/TADA Esther David, Kate Larson, Alex Rogers, Onn Shehory, Sebastian Stein
2012	J	`jnl`	Combining Trust Modeling and Mechanism Design for promoting Honesty in E-Marketplaces. Comput. Intell. Jie Zhang, Robin Cohen, Kate Larson
2012	J	`jnl`	Equilibria of Chinese Auctions CoRR Simina Brânzei, Clara Forero, Kate Larson, Peter Bro Miltersen
2012	J	`jnl`	Learning When to Take Advice: A Statistical Test for Achieving A Correlated Equilibrium CoRR Greg Hines, Kate Larson
2012	J	`jnl`	Matching Games with Additive Externalities CoRR Simina Brânzei, Tomasz P. Michalak, Talal Rahwan, Kate Larson, Nicholas R. Jennings
2012	J	`jnl`	Network Bargaining: Using Approximate Blocking Sets to Stabilize Unstable Instances CoRR Jochen Könemann, Kate Larson, David Steiner
2012	B	`conf`	Network Bargaining: Using Approximate Blocking Sets to Stabilize Unstable Instances. SAGT Jochen Könemann, Kate Larson, David Steiner
2012	J	`jnl`	Sharing Rewards Among Strangers Based on Peer Evaluations. Decis. Anal. Arthur Carvalho, Kate Larson
2011	A	`conf`	A truth serum for sharing rewards. AAMAS Arthur Carvalho, Kate Larson
2011	J	`jnl`	Algorithms and mechanisms for procuring services with uncertain durations using redundancy. Artif. Intell. Sebastian Stein, Enrico H. Gerding, Alex Rogers, Kate Larson, Nicholas R. Jennings
2011	—	`conf`	Efficiently Eliciting Preferences from a Group of Users. Interactive Decision Theory and Game Theory Greg Hines, Kate Larson
2011	—	`conf`	Efficiently Eliciting Preferences from a Group of Users. ADT Greg Hines, Kate Larson
2011	J	`jnl`	Hand-Held Plasma Isolation Device for Point-of-Care Testing. IEEE Trans. Biomed. Eng. Rebecca Bercich, Jon Bernhard, Kate Larson, Jason Lindsey
2011	J	`jnl`	Logical mechanism design. Knowl. Eng. Rev. Iyad Rahwan, Kate Larson
2011	A*	`conf`	Social Distance Games. IJCAI Simina Brânzei, Kate Larson
2011	A	`conf`	Social distance games. AAMAS Simina Brânzei, Kate Larson
2010	A	`conf`	An investigation of representations of combinatorial auctions. AAMAS David Loker, Kate Larson
2010	C	`conf`	Argumentation Mechanism Design for Preferred Semantics. COMMA Shengying Pan, Kate Larson, Iyad Rahwan
2010	J	`jnl`	Braess's Paradox for Flows Over Time CoRR Martin Macko, Kate Larson, L'ubos Steskal
2010	B	`conf`	Braess's Paradox for Flows over Time. SAGT Martin Macko, Kate Larson, L'ubos Steskal
2010	A	`conf`	Cultivating desired behaviour: policy teaching via environment-dynamics tweaks. AAMAS Zinovi Rabinovich, Lachlan Dufton, Kate Larson, Nicholas R. Jennings
2010	—	`conf`	Leveraging a Social Network of Trust for Promoting Honesty in E-Marketplaces. IFIPTM Jie Zhang, Robin Cohen, Kate Larson
2010	A	`conf`	Parameterizing the winner determination problem for combinatorial auctions. AAMAS David Loker, Kate Larson
2010	A	`conf`	Preference elicitation for risky prospects. AAMAS Greg Hines, Kate Larson
2010	A	`conf`	Scalable mechanism design for the procurement of services with uncertain durations. AAMAS Enrico H. Gerding, Sebastian Stein, Kate Larson, Alex Rogers, Nicholas R. Jennings
2010	A	`conf`	Sharing a reward based on peer evaluations. AAMAS Arthur Carvalho, Kate Larson
2009	A*	`conf`	A Characterisation of Strategy-Proofness for Grounded Argumentation Semantics. IJCAI Iyad Rahwan, Kate Larson, Fernando A. Tohmé
2009	—	`ch.`	Argumentation and Game Theory. Argumentation in Artificial Intelligence Iyad Rahwan, Kate Larson
2009	A*	`conf`	Coalitional Affinity Games and the Stability Gap. IJCAI Simina Brânzei, Kate Larson
2009	—	`conf`	Coalitional affinity games. AAMAS (2) Simina Brânzei, Kate Larson
2009	—	`conf`	Eliciting Expert Advice in Service-Oriented Computing. AMEC/TADA Enrico H. Gerding, Kate Larson, Nicholas R. Jennings
2009	A*	`conf`	Exchanging Reputation Information between Communities: A Payment-Function Approach. IJCAI Georgia Kastidou, Kate Larson, Robin Cohen
2009	A*	`conf`	Flexible Procurement of Services with Uncertain Durations using Redundancy. IJCAI Sebastian Stein, Enrico H. Gerding, Alex Rogers, Kate Larson, Nicholas R. Jennings
2009	—	`conf`	Insuring Risk-Averse Agents. ADT Greg Hines, Kate Larson
2009	—	`conf`	Mechanism Design for Task Procurement with Flexible Quality of Service. SOCASE Enrico H. Gerding, Kate Larson, Alex Rogers, Nicholas R. Jennings
2009	—	`conf`	Mechanism design for task procurement with flexible quality of service. AAMAS (2) Enrico H. Gerding, Alex Rogers, Kate Larson, Nick R. Jennings
2009	—	`conf`	Not-So Hidden Information: Optimal Contracts for Undue Influence in E2E Voting Systems. VoteID Jeremy Clark, Urs Hengartner, Kate Larson
2008	—	`conf`	A Trust-Based Incentive Mechanism for E-Marketplaces. AAMAS-TRUST Jie Zhang, Robin Cohen, Kate Larson
2008	A	`conf`	Learning When to Take Advice: A Statistical Test for Achieving A Correlated Equilibrium. UAI Greg Hines, Kate Larson
2008	—	`conf`	Mechanism design for abstract argumentation. AAMAS (2) Iyad Rahwan, Kate Larson
2008	A*	`conf`	Pareto Optimality in Abstract Argumentation. AAAI Iyad Rahwan, Kate Larson
2008	—	`conf`	Using adaptive consultation of experts to improve convergence rates in multiagent learning. AAMAS (3) Greg Hines, Kate Larson
2007	—	`conf`	Reducing Costly Information Acquisition in Auctions. Computational Social Systems and the Internet Kate Larson
2007	—	`conf`	Reducing Interaction Costs for Self-interested Agents. AMEC/TADA Yunqi Zhang, Kate Larson
2006	J	`jnl`	A reputation mechanism for layered communities. SIGecom Exch. Elodie Fourquet, Kate Larson, William B. Cowan
2006	A	`conf`	Reducing costly information acquisition in auctions. AAMAS Kate Larson
2005	A	`conf`	Mechanism design and deliberative agents. AAMAS Kate Larson, Tuomas Sandholm
2005	—	`conf`	Service Allocation for Composite Web Services Based on Quality Attributes. CEC Workshops Shahram Esmaeilsabzali, Kate Larson
2004	—	`conf`	Designing Auctions for Deliberative Agents. AMEC Kate Larson, Tuomas Sandholm
2004	A	`conf`	Experiments on Deliberation Equilibria in Auctions. AAMAS Kate Larson, Tuomas Sandholm
2004	A*	`conf`	Strategic deliberation and truthful revelation: an impossibility result. EC Kate Larson, Tuomas Sandholm
2004	A*	`conf`	Using Performance Profile Trees to Improve Deliberation Control. AAAI Kate Larson, Tuomas Sandholm
2003	A	`conf`	Miscomputing ratio: social cost of selfish computing. AAMAS Kate Larson, Tuomas Sandholm
2002	A	`conf`	An alternating offers bargaining model for computationally limited agents. AAMAS Kate Larson, Tuomas Sandholm
2002	A	`conf`	Bidders with hard valuation problems. AAMAS Kate Larson, Tuomas Sandholm
2001	J	`jnl`	Bargaining with limited computation: Deliberation equilibrium. Artif. Intell. Kate Larson, Tuomas Sandholm
2000	J	`jnl`	Anytime coalition structure generation: an average case study. J. Exp. Theor. Artif. Intell. Kate Larson, Tuomas Sandholm
2000	—	`conf`	Deliberation in Equilibrium: Bargaining in Computationally Complex Problems. AAAI/IAAI Kate Larson, Tuomas Sandholm
1999	—	`conf`	Anytime Coalition Structure Generation: An Average Case Study. Agents Kate Larson, Tuomas Sandholm
1999	J	`jnl`	Coalition Structure Generation with Worst Case Guarantees. Artif. Intell. Tuomas Sandholm, Kate Larson, Martin Andersson, Onn Shehory, Fernando Tohmé
1998	J	`jnl`	Anytime Coalition Structure Generation with Worst Case Guarantees CoRR Tuomas Sandholm, Kate Larson, Martin Andersson, Onn Shehory, Fernando Tohmé
1998	—	`conf`	Anytime Coalition Structure Generation with Worst Case Guarantees. AAAI/IAAI Tuomas Sandholm, Kate Larson, Martin Andersson, Onn Shehory, Fernando Tohmé