A Permutation-Equivariant Neural Network Architecture For Auction Design

2 Mar 2020Jad RahmeSamy JelassiJoan BrunaS. Matthew Weinberg

Designing an incentive compatible auction that maximizes expected revenue is a central problem in Auction Design. Theoretical approaches to the problem have hit some limits in the past decades and analytical solutions are known for only a few simple settings... (read more)

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