2025
Safely Learning Optimal Auctions: A Testable Learning Framework for Mechanism Design
ICML 2025poster
When can the distributional assumptions of theorems and learning algorithms be trusted? Inspired by this question, Rubinfeld and Vasilyan (2023) initiated the study of testable learning. In this schema, we always learn one of the following two things: either we have achieved the desired accuracy reg…