1 citations · 1 across the 10 of their papers we have counts for
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Learning in Strategic Queuing with Geometric Recharge: From Bandits to Systems
Cristian Palma Foster, Eva Tardos
We study packet routing in queuing systems where queues act as selfish, myopic agents that use no-regret learning algorithms to select servers with unknown service rates. To model…
Personalized Recommendations Without Inducing Congestion: Mitigating Disparities in the NYC High School Match
Erica Chiang, Kenny Peng, Rebecca Lichtenstein +7
Algorithmic recommendations can help participants navigate large matching markets. For example, recommendations for school and college choices may reduce information frictions and…
Improved Multi-Dimensional Forecasting for Swap Regret
Joey Rivkin, Ramiro N. Deo-Campo Vuong, Robert Kleinberg +3
We study the problem of forecasting for an arbitrary number of downstream agents with unknown objectives, each of whom best responds to the forecaster's predictions. We seek a sing…
Quantifying Theoretical AI Alignment Guarantees: Receiver-Utility Bounds in Bayesian Persuasion
Eric Yachbes, Eva Tardos
Misalignment can change how information moves from an AI agent to a human user. We model this as an information advantage: the AI agent observes the world state, while the human re…
Price of Anarchy of Algorithmic Monoculture
Robert Kleinberg, Erald Sinanaj, Éva Tardos
Several recent works investigate the effects of monoculture, the ever increasing phenomenon of (possibly) self-interested actors in a society relying on one common source of advice…