3 papers
cs.GT2026
Impacts of Aggregation on Model Diversity and Consumer Utility
Kate Donahue, Manish Raghavan
Consider a marketplace of AI tools, each with slightly different strengths and weaknesses. By picking the right model for the task at hand, a user can do better than simply using t…
cs.GT2025
Optimal Selection Using Algorithmic Rankings with Side Information
Kate Donahue, Nicole Immorlica, Brendan Lucier
Motivated by online platforms such as job markets, we study an agent choosing from a list of candidates, each with a hidden quality that determines match value. The agent observes…
cs.LG2024
Impact of Decentralized Learning on Player Utilities in Stackelberg Games
Kate Donahue, Nicole Immorlica, Meena Jagadeesan +2
When deployed in the world, a learning agent such as a recommender system or a chatbot often repeatedly interacts with another learning agent (such as a user) over time. In many su…