People

Okke Schrijvers

Research Scientist - Core Data Science

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

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