A Permutation-Equivariant Neural Network Architecture For Auction Design

Rahme Jad
Rahme Jad
Weinberg S. Matthew
Weinberg S. Matthew
Cited by: 0|Bibtex|Views19|Links

Abstract:

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. Computational approaches to the problem through the use of LPs have their own ...More

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