Learning Bayesian Game Families, with Application to Mechanism Design

We demonstrate the advantages of learning an interim model for Bayesian game families through an in-depth study of empirical mechanism design for a dynamic sponsored search auction scenario. A full version of this paper, with additional background, methods, and results, is available at: https://arxiv.org/pdf/2502.14078.