Wouter Koolen-Wijkstra

Full Name
Dr. W.M. Koolen-Wijkstra
+31 20 592 4009
Scientific Staff Member
Wouter Koolen-Wijkstra


Wouter M. Koolen works on topics in machine learning theory and related areas, including game theory, information theory, statistics and optimisation. My current interests include pure exploration in multi-armed bandit models, game tree search, and provably accelerated learning in statistical and individual-sequence settings, aka learning faster from easy data. Koolen is a member of the INRIA-CWI associate teams 6PAC with Inria Lille and 4TUNE with Inria Paris and Grenoble. He is an ELLIS Scholar.


I work on topics in machine learning and related areas, including game theory, information theory, statistics and optimisation.

My current projects are

  • Game tree search
  • Learning faster from easy data
  • Online learning beyond experts
  • Minimax square loss prediction
  • Online Finance
  • Switching Experts
  • Non-uniform regret analysis
  • Robust statistics
  • Algorithmic information theory

More information ...



All publications

Professional activities

  • Committee member: Area Chair for Neural Information Processing Systems (NeurIPS)
  • Committee member: Area Chair for International Conference on Machine Learning (ICML)
  • Committee member: Senior Program Committee member for Conference on Learning Theory (COLT)
  • Professor: Professor of Mathematical Machine Learning, Statistics group, University of Twente
  • Member: ACM Future of Computing Academy
  • Organizer: Conference on Learning Theory Local Chair
  • Speaker: Invited Speaker at Belgium Netherlands Workshop on Reinforcement Learning 2018
  • Speaker: Invited Speaker at Lancaster/Deepmind Multi Armed Bandit Workshop
  • Speaker: Invited Tutorial at Workshop on Learning Theory 2 at TIFR Mumbai
  • Editor: SIAM Journal on Mathematics of Data Science


  • The 4TUNE associate team with Bach, Gaillard, Taylor (INRIA Paris) and Grünwald (CWI) (2020)
  • The 6PAC associate team with Guedj, Kaufmann (INRIA Lille) and Grünwald (CWI) (2018)
  • Veni Learning at the Intrinsic Task Pace 2015 (2015)
  • Queensland University of Technology Vice-Chancellor's research fellowship The Versatile Multitask Learner (2013)
  • Rubicon - Game-Theoretically Optimal Online Learning: From Conflicting Advice to High-Quality Decisions (2010)