Okke Schrijvers

Research Scientist

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.


Auction theory, learning theory, algorithmic game theory.

Latest Publications

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, Julian 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

EC - June 26, 2019

Pacing Equilibrium in First-Price Auction Markets

Vincent Conitzer, Christian Kroer, Debmalya Panigrahi, Okke Schrijvers, Eric Sodomka, Nicolas Stier, Chris Wilkens

The Web - May 14, 2019

Online Learning for Measuring Incentive Compatibility in Ad Auctions

Zhe Feng, Okke Schrijvers, Eric Sodomka