ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning

Kevin Kuo, Anthony Ostuni, Elizabeth Horishny +5

The design of revenue-maximizing auctions with strong incentive guarantees is a core concern of economic theory. Computational auctions enable online advertising, sourcing, spectru…