Wouter Koolen-Wijkstra

Full Name
Dr. W.M. Koolen-Wijkstra
Email
Phone
+31 20 592 4009
Room
L132
Department(s)
Function(s)
Scientific Staff Member
Homepage
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: Program Committee for Conference on Learning Theory (COLT)
  • Professor: Professor of Mathematical Machine Learning, Statistics group, University of Twente

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)