Recent & Upcoming Talks

2024

Bayesian Persuasion with a Learning Agent

Generalized Principal-Agent Problem with a Learning Agent

2023

Private Data Manipulation in Sponsored Search Auctions

Sample Complexity of Forecast Aggregation

2022

Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions

2020

Robustness of Empirical Revenue Maximization in Auction Learning

Empirical Revenue Maximization (ERM) is an important price learning algorithm in data-driven auction design. It learns, from samples of …