Kate Larson

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 67

Top Venues

CoRR

AAMAS

IJCAI

AAAI

Publications

Ben Armstrong, Kate Larson
Liquid Democracy for Low-Cost Ensemble Pruning. CoRR (2024)
Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, Andras Gyorgy, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
Approximating the Core via Iterative Coalition Sampling. CoRR (2024)
Kanav Mehra, Nanda Kishore Sreenivas, Kate Larson
Deliberation and Voting in Approval-Based Multi-Winner Elections. CoRR (2023)
Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
Revealed Multi-Objective Utility Aggregation in Human Driving. AAMAS (2023)
David Radke, Kate Larson, Tim Brecht, Kyle Tilbury
Towards a Better Understanding of Learning with Multiagent Teams. CoRR (2023)
Marc Lanctot, Kate Larson, Yoram Bachrach, Luke Marris, Zun Li, Avishkar Bhoopchand, Thomas W. Anthony, Brian Tanner, Anna Koop
Evaluating Agents using Social Choice Theory. CoRR (2023)
Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning. CoRR (2023)
David Radke, Kate Larson, Tim Brecht
The Importance of Credo in Multiagent Learning. AAMAS (2023)
Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
Revealed Multi-Objective Utility Aggregation in Human Driving. CoRR (2023)
Kanav Mehra, Nanda Kishore Sreenivas, Kate Larson
Deliberation and Voting in Approval-Based Multi-Winner Elections. IJCAI (2023)
Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Kate Larson, Yoram Bachrach, Michael P. Wellman, Paul Muller
Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games. AAMAS (2023)
Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning. AAMAS (2023)
Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
Multi-Agent Advisor Q-Learning (Extended Abstract). IJCAI (2023)
David Radke, Kate Larson, Tim Brecht, Kyle Tilbury
Towards a Better Understanding of Learning with Multiagent Teams. IJCAI (2023)
Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning. CoRR (2023)
David Radke, Kate Larson, Tim Brecht
Exploring the Benefits of Teams in Multiagent Learning. IJCAI (2022)
Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
Multi-Agent Advisor Q-Learning. J. Artif. Intell. Res. 74 (2022)
Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
Generalized Dynamic Cognitive Hierarchy Models for Strategic Driving Behavior. AAAI (2022)
Ian M. 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
Developing, evaluating and scaling learning agents in multi-agent environments. AI Commun. 35 (4) (2022)
David Radke, Kate Larson, Tim Brecht
The Importance of Credo in Multiagent Learning. CoRR (2022)
David Radke, Kate Larson, Tim Brecht
Exploring the Benefits of Teams in Multiagent Learning. CoRR (2022)
Ian M. Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar 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
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments. CoRR (2022)
Shiri Alouf-Heffetz, Ben Armstrong, Kate Larson, Nimrod Talmon
How Should We Vote? A Comparison of Voting Systems within Social Networks. IJCAI (2022)
Thomas Ma, Vijay Menon, Kate Larson
Improving Welfare in One-Sided Matchings using Simple Threshold Queries. IJCAI (2021)
Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
Multi-Agent Advisor Q-Learning. CoRR (2021)
Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
A taxonomy of strategic human interactions in traffic conflicts. CoRR (2021)
Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki
Generalized dynamic cognitive hierarchy models for strategic driving behavior. CoRR (2021)
Amirali Salehi-Abari, Kate Larson
Group recommendation with noisy subjective preferences. Comput. Intell. 37 (1) (2021)
Greg d'Eon, Kate Larson
Testing Axioms Against Human Reward Divisions in Cooperative Games. AAMAS (2020)
David Radke, Omid Abari, Tim Brecht, Kate Larson
Can Future Wireless Networks Detect Fires? BuildSys@SenSys (2020)
Thomas Ma, Vijay Menon, Kate Larson
Improving Welfare in One-sided Matching using Simple Threshold Queries. CoRR (2020)
Mike Schaekermann, Graeme Beaton, Elaheh Sanoubari, Andrew Lim, Kate Larson, Edith Law
Ambiguity-aware AI Assistants for Medical Data Analysis. CHI (2020)
Allan Dafoe, Edward Hughes, Yoram Bachrach, Tantum Collins, Kevin R. McKee, Joel Z. Leibo, Kate Larson, Thore Graepel
Open Problems in Cooperative AI. CoRR (2020)
John A. Doucette, Alan Tsang, Hadi Hosseini, Kate Larson, Robin Cohen
Inferring True Voting Outcomes in Homophilic Social Networks. AAMAS (2020)
Vijay Menon, Kate Larson
Algorithmic Stability in Fair Allocation of Indivisible Goods Among Two Agents. CoRR (2020)
Mike Schaekermann, Graeme Beaton, Minahz Habib, Andrew Lim, Kate Larson, Edith Law
Understanding Expert Disagreement in Medical Data Analysis through Structured Adjudication. Proc. ACM Hum. Comput. Interact. 3 (CSCW) (2019)
Amirali Salehi-Abari, Craig Boutilier, Kate Larson
Empathetic decision making in social networks. Artif. Intell. 275 (2019)
Vijay Menon, Kate Larson
Mechanism Design for Locating a Facility Under Partial Information. SAGT (2019)
Vijay Menon, Kate Larson
Mechanism Design for Locating a Facility under Partial Information. CoRR (2019)
Hadi Hosseini, Kate Larson
Multiple Assignment Problems under Lexicographic Preferences. AAMAS (2019)
Greg d'Eon, Joslin Goh, Kate Larson, Edith Law
Paying Crowd Workers for Collaborative Work. Proc. ACM Hum. Comput. Interact. 3 (CSCW) (2019)
Mike Schaekermann, Graeme Beaton, Minahz Habib, Andrew Lim, Kate Larson, Edith Law
Capturing Expert Arguments from Medical Adjudication Discussions in a Machine-readable Format. WWW (Companion Volume) (2019)
John A. Doucette, Alan Tsang, Hadi Hosseini, Kate Larson, Robin Cohen
Inferring true voting outcomes in homophilic social networks. Auton. Agents Multi Agent Syst. 33 (3) (2019)
Alan Tsang, Amirali Salehi-Abari, Kate Larson
Boundedly Rational Voters in Large(r) Networks. AAMAS (2018)
Vijay Menon, Kate Larson
Robust and Approximately Stable Marriages Under Partial Information. WINE (2018)
Vijay Menon, Kate Larson
Robust and Approximately Stable Marriages under Partial Information. CoRR (2018)
Mike Schaekermann, Joslin Goh, Kate Larson, Edith Law
Resolvable vs. Irresolvable Disagreement: A Study on Worker Deliberation in Crowd Work. Proc. ACM Hum. Comput. Interact. 2 (CSCW) (2018)
Hadi Hosseini, Kate Larson, Robin Cohen
Investigating the characteristics of one-sided matching mechanisms under various preferences and risk attitudes. Auton. Agents Multi Agent Syst. 32 (4) (2018)
Mike Schaekermann, Edith Law, Kate Larson, Andrew Lim
Expert Disagreement in Sequential Labeling: A Case Study on Adjudication in Medical Time Series Analysis. SAD/CrowdBias@HCOMP (2018)
Vijay Menon, Kate Larson
Deterministic, Strategyproof, and Fair Cake Cutting. IJCAI (2017)
Vijay Menon, Kate Larson
Deterministic, Strategyproof, and Fair Cake Cutting. CoRR (2017)
Vijay Menon, Kate Larson
Computational aspects of strategic behaviour in elections with top-truncated ballots. Auton. Agents Multi Agent Syst. 31 (6) (2017)
Hadi Hosseini, Kate Larson, Robin Cohen
Investigating the Characteristics of One-Sided Matching Mechanisms Under Various Preferences and Risk Attitudes. CoRR (2017)
Ankit Pat, Kate Larson, Srinivasen Keshav
Big-Data Mechanisms and Energy-Policy Design. AAAI (2016)
Vijay Menon, Kate Larson
Reinstating Combinatorial Protections for Manipulation and Bribery in Single-Peaked and Nearly Single-Peaked Electorates. AAAI (2016)
Shengying Pan, Kate Larson, Josh Bradshaw, Edith Law
Dynamic Task Allocation Algorithm for Hiring Workers that Learn. IJCAI (2016)
Alan Tsang, Kate Larson
The Echo Chamber: Strategic Voting and Homophily in Social Networks. AAMAS (2016)
Arthur Carvalho, Stanko Dimitrov, Kate Larson
How many crowdsourced workers should a requester hire? Ann. Math. Artif. Intell. 78 (1) (2016)
Hadi Hosseini, Kate Larson, Robin Cohen
Investigating the Characteristics of One-Sided Matching Mechanisms: (Extended Abstract). AAMAS (2016)
Vijay Menon, Kate Larson
Complexity of Manipulation in Elections with Partial Votes. CoRR (2015)
John A. Doucette, Kate Larson, Robin Cohen
Conventional Machine Learning for Social Choice. AAAI (2015)
Hadi Hosseini, Kate Larson, Robin Cohen
Random Serial Dictatorship versus Probabilistic Serial Rule: A Tale of Two Random Mechanisms. CoRR (2015)
Vijay Menon, Kate Larson
Reinstating Combinatorial Protections for Manipulation and Bribery in Single-Peaked and Nearly Single-Peaked Electorates. CoRR (2015)
Hadi Hosseini, Kate Larson, Robin Cohen
On Manipulablity of Random Serial Dictatorship in Sequential Matching with Dynamic Preferences. AAAI (2015)
Hadi Hosseini, Kate Larson
Strategyproof Quota Mechanisms for Multiple Assignment Problems. CoRR (2015)
Hadi Hosseini, Kate Larson, Robin Cohen
Matching with Dynamic Ordinal Preferences. AAAI (2015)
Jochen Könemann, Kate Larson, David Steiner
Network Bargaining: Using Approximate Blocking Sets to Stabilize Unstable Instances. Theory Comput. Syst. 57 (3) (2015)
Arthur Carvalho, Stanko Dimitrov, Kate Larson
A Study on the Influence of the Number of MTurkers on the Quality of the Aggregate Output. EUMAS (2014)
Haifeng Xu, Kate Larson
Improving the efficiency of crowdsourcing contests. AAMAS (2014)
Alan Tsang, Kate Larson
Opinion dynamics of skeptical agents. AAMAS (2014)
Arthur Carvalho, Stanko Dimitrov, Kate Larson
The output-agreement method induces honest behavior in the presence of social projection. SIGecom Exch. 13 (1) (2014)
Arthur Carvalho, Kate Larson
Sharing a Reward Based on Peer Evaluations. CoRR (2013)
Arthur Carvalho, Kate Larson
A Truth Serum for Sharing Rewards CoRR (2013)
Martin Macko, Kate Larson, L'ubos Steskal
Braess's Paradox for Flows over Time. Theory Comput. Syst. 53 (1) (2013)
Arthur Carvalho, Stanko Dimitrov, Kate Larson
Proper Scoring Rules for Unobservable Outcomes: An Application to the Peer-Review Process. CoRR (2013)
Alan Tsang, Kate Larson, Rob McAlpine
Resource Sharing for Control of Wildland Fires. AAAI (2013)
Tri Kurniawan Wijaya, Kate Larson, Karl Aberer
Matching Demand with Supply in the Smart Grid using Agent-Based Multiunit Auction. CoRR (2013)
Simina Brânzei, Tomasz P. Michalak, Talal Rahwan, Kate Larson, Nicholas R. Jennings
Matchings with externalities and attitudes. AAMAS (2013)
Tri Kurniawan Wijaya, Kate Larson, Karl Aberer
Matching demand with supply in the smart grid using agent-based multiunit auction. COMSNETS (2013)
Arthur Carvalho, Kate Larson
A Consensual Linear Opinion Pool. IJCAI (2013)
Michael Peter Weingert, Kate Larson
TrailView: Combining Gamification and Social Network Voting Mechanisms for Useful Data Collection. HCOMP (Works in Progress / Demos) (2013)
Jochen Könemann, Kate Larson, David Steiner
Network Bargaining: Using Approximate Blocking Sets to Stabilize Unstable Instances. SAGT (2012)
Arthur Carvalho, Kate Larson
Sharing Rewards Among Strangers Based on Peer Evaluations. Decis. Anal. 9 (3) (2012)
Simina Brânzei, Tomasz P. Michalak, Talal Rahwan, Kate Larson, Nicholas R. Jennings
Matching Games with Additive Externalities CoRR (2012)
Jochen Könemann, Kate Larson, David Steiner
Network Bargaining: Using Approximate Blocking Sets to Stabilize Unstable Instances CoRR (2012)
Simina Brânzei, Clara Forero, Kate Larson, Peter Bro Miltersen
Equilibria of Chinese Auctions CoRR (2012)
Arthur Carvalho, Kate Larson
A Consensual Linear Opinion Pool CoRR (2012)
Greg Hines, Kate Larson
Learning When to Take Advice: A Statistical Test for Achieving A Correlated Equilibrium CoRR (2012)
Jie Zhang, Robin Cohen, Kate Larson
Combining Trust Modeling and Mechanism Design for promoting Honesty in E-Marketplaces. Comput. Intell. 28 (4) (2012)
Arthur Carvalho, Kate Larson
A truth serum for sharing rewards. AAMAS (2011)
Greg Hines, Kate Larson
Efficiently Eliciting Preferences from a Group of Users. Interactive Decision Theory and Game Theory (2011)
Iyad Rahwan, Kate Larson
Logical mechanism design. Knowl. Eng. Rev. 26 (1) (2011)
Simina Brânzei, Kate Larson
Social Distance Games. IJCAI (2011)
Sebastian Stein, Enrico H. Gerding, Alex Rogers, Kate Larson, Nicholas R. Jennings
Algorithms and mechanisms for procuring services with uncertain durations using redundancy. Artif. Intell. 175 (14-15) (2011)
Greg Hines, Kate Larson
Efficiently Eliciting Preferences from a Group of Users. ADT (2011)
Simina Brânzei, Kate Larson
Social distance games. AAMAS (2011)
Rebecca Bercich, Jon Bernhard, Kate Larson, Jason Lindsey
Hand-Held Plasma Isolation Device for Point-of-Care Testing. IEEE Trans. Biomed. Eng. 58 (3) (2011)
Arthur Carvalho, Kate Larson
Sharing a reward based on peer evaluations. AAMAS (2010)
Zinovi Rabinovich, Lachlan Dufton, Kate Larson, Nicholas R. Jennings
Cultivating desired behaviour: policy teaching via environment-dynamics tweaks. AAMAS (2010)
Jie Zhang, Robin Cohen, Kate Larson
Leveraging a Social Network of Trust for Promoting Honesty in E-Marketplaces. IFIPTM (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kate Larson