Wouter Koolen-Wijkstra

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Publications

• Kaufmann, E, & Koolen-Wijkstra, W.M. (2017). Monte-Carlo Tree Search by Best Arm Identification.
• Koolen-Wijkstra, W.M, Grünwald, P.D, & van Erven, T.A.L. (2016). Combining adversarial guarantees and stochastic fast rates in online learning. In Advances in Neural Information Processing Systems (pp. 4457–4465).
• van Erven, T.A.L, & Koolen-Wijkstra, W.M. (2016). MetaGrad: multiple learning rates in online learning. In Advances in Neural Information Processing Systems (pp. 3666–3674).
• Koolen-Wijkstra, W.M. (2016). Robust and adaptive methods for sequential decision making. ERCIM News, 107, 24–25.
• Van Ommen, T. (Thijs), Koolen-Wijkstra, W.M, Feenstra, T.E, & Grünwald, P.D. (2016). Robust probability updating. International Journal of Approximate Reasoning, 74, 30–57. doi:10.1016/j.ijar.2016.03.001
• Kotlowski, W.T, Koolen-Wijkstra, W.M, & Malek, A. (2016). Online isotonic regression. In V Feldman & A Rakhlin (Eds.), JMLR: Workshop and Conference Proceedings (pp. 1165–1189).
• Garivier, A, Kaufmann, E, & Koolen-Wijkstra, W.M. (2016). Maximin action identification: a new bandit framework for games. In V Feldman & A Rakhlin (Eds.), JMLR: Workshop and Conference Proceedings (pp. 1028–1050).
• Adamskyi, D, Koolen-Wijkstra, W.M, Chernov, A, & Vovk, V. (2016). A closer look at adaptive regret. Journal of Machine Learning Research, 17.
• Koolen-Wijkstra, W.M. (2016). MetaGrad.
• Koolen-Wijkstra, W.M. (2015). Squint.

Projects

• Machine Learning at the Intrinsic Task Pace

Professional activities

• grant
  Rubicon - Game-Theoretically Optimal Online Learning: From Conflicting Advice to High-Quality Decisions