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08/22/2023
When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-making
Historically, much of machine learning research has focused on the perfo...
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02/27/2023
Private Blotto: Viewpoint Competition with Polarized Agents
Colonel Blotto games are one of the oldest settings in game theory, orig...
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02/17/2022
Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness
Much of machine learning research focuses on predictive accuracy: given ...
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12/01/2021
Models of fairness in federated learning
In many real-world situations, data is distributed across multiple locat...
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06/17/2021
Optimality and Stability in Federated Learning: A Game-theoretic Approach
Federated learning is a distributed learning paradigm where multiple age...
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02/27/2021
Better Together? How Externalities of Size Complicate Notions of Solidarity and Actuarial Fairness
Consider a cost-sharing game with players of different contribution to t...
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10/02/2020
Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation
Federated learning is a setting where agents, each with access to their ...
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06/21/2019