PEOPLE
Okke Schrijvers
Research Scientist - Core Data Science
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DATA SCIENCE
ECONOMICS & COMPUTATION
I am interested in problems in Algorithmic Game Theory, and in particular how one can use data in a principled manner to give insights in such problems. Prior to joining Facebook, I obtained my PhD in Computer Science from Stanford, served as Co-Editor in Chief of ACM’s student magazine XRDS, and published at venues like ICML, KDD, EC and others.
Interests
Auction theory, learning theory, algorithmic game theory.
Latest Publications
Management Science - September 30, 2021
Pacing Equilibrium in First Price Auction Markets
Vincent Conitzer, Christian Kroer, Debmalya Panigrahi, Okke Schrijvers, Nicolas Stier, Eric Sodomka, Christopher A. Wilkens
The Web Conference - April 21, 2021
Stochastic bandits for multi-platform budget optimization in online advertising
Vashist Avadhanula, Riccardo Colini Baldeschi, Stefano Leonardi, Karthik Abinav Sankararaman, Okke Schrijvers
WINE - December 7, 2020
The Ad Types Problem
Riccardo Colini Baldeschi, Julián Mestre, Okke Schrijvers, Christopher A. Wilkens
The Web Conference - April 30, 2020
Envy, Regret, and Social Welfare Loss
Riccardo Colini Baldeschi, Stefano Leonardi, Okke Schrijvers, Eric Sodomka
The Web - May 14, 2019
Online Learning for Measuring Incentive Compatibility in Ad Auctions
Zhe Feng, Okke Schrijvers, Eric Sodomka
Latest News
ECONOMICS & COMPUTATION
April 15, 2021
Auto-placement of ad campaigns using multi-armed bandits
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