Neural Auctions Compromise Bidder Information. (arXiv:2303.00116v1 [cs.LG])

Single-shot auctions are commonly used as a means to sell goods, for example
when selling ad space or allocating radio frequencies, however devising
mechanisms for auctions with multiple bidders and multiple items can be
complicated. It has been shown that neural networks can be used to approximate
optimal mechanisms while satisfying the constraints that an auction be
strategyproof and individually rational. We show that despite such auctions
maximizing revenue, they do so at the cost of revealing private bidder
information. …

auction compromise constraints information networks neural networks radio revenue selling single space