research
∙
11/18/2020
Learning in repeated auctions
Auction theory historically focused on the question of designing the bes...
share
research
∙
09/15/2019
Adversarial learning for revenue-maximizing auctions
We introduce a new numerical framework to learn optimal bidding strategi...
research
∙
05/29/2019
Robust Stackelberg buyers in repeated auctions
We consider the practical and classical setting where the seller is usin...
research
∙
02/27/2019
Learning to bid in revenue-maximizing auctions
We consider the problem of the optimization of bidding strategies in pri...
research
∙
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...
research
∙
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...
research
∙
05/01/2018
Explicit shading strategies for repeated truthful auctions
With the increasing use of auctions in online advertising, there has bee...
research
∙
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...
research
∙
04/03/2017
