Wouter Koolen-Wijkstra

Full Name
Dr. W.M. Koolen-Wijkstra
Email
W.M.Koolen-Wijkstra@cwi.nl
Phone
+31 20 592 4009
Room
L132
Department(s)
Machine Learning
Function(s)
Scientific Staff Member
Homepage
http://wouterkoolen.info/
Wouter Koolen-Wijkstra

Biography

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.

Research

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 ...

 

Publications

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

Grants

  • 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)

Current projects with external funding

  • PPS Booking.COM (PPS Booking.COM)

Courses