Repeated Bidding with Dynamic Value
arXiv:2308.01755
Abstract
We consider a repeated auction where the buyer's utility for an item depends on the time that elapsed since his last purchase. We present an algorithm to build the optimal bidding policy, and then, because optimal might be impractical, we discuss the cost for the buyer of limiting himself to shading policies.
References in corpus (6)
- Dynamic Reserve Prices for Repeated Auctions: Learning from Bids
- Attribution Modeling Increases Efficiency of Bidding in Display Advertising
- An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions
- Bidding Strategies for Proportional Representation in Advertisement Campaigns
- Efficient Algorithms for Stochastic Repeated Second-price Auctions
- Bidding Agent Design in the LinkedIn Ad Marketplace