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11/18/2020
Learning in repeated auctions
Auction theory historically focused on the question of designing the bes...
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09/15/2019
Adversarial learning for revenue-maximizing auctions
We introduce a new numerical framework to learn optimal bidding strategi...
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05/29/2019
Robust Stackelberg buyers in repeated auctions
We consider the practical and classical setting where the seller is usin...
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02/27/2019
Learning to bid in revenue-maximizing auctions
We consider the problem of the optimization of bidding strategies in pri...
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10/09/2018
Bridging the gap between regret minimization and best arm identification, with application to A/B tests
State of the art online learning procedures focus either on selecting th...
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08/21/2018
Thresholding the virtual value: a simple method to increase welfare and lower reserve prices in online auction systems
Second price auctions with reserve price are widely used by the main Int...
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05/01/2018
Explicit shading strategies for repeated truthful auctions
With the increasing use of auctions in online advertising, there has bee...
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01/22/2018
Offline A/B testing for Recommender Systems
Before A/B testing online a new version of a recommender system, it is u...
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04/03/2017