Learning to Bid with Unknown Private Values in Budget-Constrained First-Price Auctions
The episode discusses the paper "Learning to Bid with Unknown Private Values in Budget-Constrained First-Price Auctions." Hosts discuss how this research addresses unknown private values in online auctions under budget constraints. Key contributions include a joint model for learning uplift and competitor bids, and methods to stabilize estimation errors using adaptive burn-in procedures.