137 citations · 150 across the 4 of their papers we have counts for
5 papers · 1 filter
Learning in repeated auctions
Thomas Nedelec, Clément Calauzènes, Noureddine El Karoui +1
Online auctions are one of the most fundamental facets of the modern economy and power an industry generating hundreds of billions of dollars a year in revenue. Auction theory has…
Adversarial learning for revenue-maximizing auctions
Thomas Nedelec, Jules Baudet, Vianney Perchet +1
We introduce a new numerical framework to learn optimal bidding strategies in repeated auctions when the seller uses past bids to optimize her mechanism. Crucially, we do not assum…
Robust Stackelberg buyers in repeated auctions
Clément Calauzènes, Thomas Nedelec, Vianney Perchet +1
We consider the practical and classical setting where the seller is using an exploration stage to learn the value distributions of the bidders before running a revenue-maximizing a…
Learning to bid in revenue-maximizing auctions
Thomas Nedelec, Noureddine El Karoui, Vianney Perchet
We consider the problem of the optimization of bidding strategies in prior-dependent revenue-maximizing auctions, when the seller fixes the reserve prices based on the bid distribu…
Explicit shading strategies for repeated truthful auctions
Marc Abeille, Clément Calauzènes, Noureddine El Karoui +2
With the increasing use of auctions in online advertising, there has been a large effort to study seller revenue maximization, following Myerson's seminal work, both theoretically…