Wouter Koolen-Wijkstra

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

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

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: Program Committee for Conference on Learning Theory (COLT)

Grants

  • 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)