Learning Prices for Repeated Auctions with Strategic Buyers

NeurIPS 2013 Kareem AminAfshin RostamizadehUmar Syed

Inspired by real-time ad exchanges for online display advertising, we consider the problem of inferring a buyer's value distribution for a good when the buyer is repeatedly interacting with a seller through a posted-price mechanism. We model the buyer as a strategic agent, whose goal is to maximize her long-term surplus, and we are interested in mechanisms that maximize the seller's long-term revenue... (read more)

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