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Wouter Koolen is a Full Professor at the University of Twente, specializing in various aspects of machine learning theory, game theory, and information theory. His research interests include pure exploration in multi-armed bandit models, game tree search, and the development of statistically accelerated learning methods in individual-sequence settings. Koolen also explores hypothesis testing methodologies utilizing martingales, online learning frameworks, and regret minimization strategies. His work contributes significantly to understanding the dynamics of learning from data, especially in sequential decision-making contexts.
Includes specializations in Financial Engineering & Management, Healthcare Technology & Management, and Production & Logistics Management.