Tim van Erven

Dr. Tim van Erven is an Associate Professor at the University of Amsterdam, affiliated with the Korteweg-de Vries Institute for Mathematics. His research focuses on the mathematical foundations of machine learning, particularly adaptive methods in online convex optimization, PAC-Bayesian concentration inequalities, and robust learning strategies.

• Research Interests: Mathematical machine learning, explainable AI, online learning, statistical learning theory, and adaptive optimization.
• Grants & Awards: VICI (2025), VIDI (2019), TOP grant (2016), NIPS Outstanding Reviewer (2014), Rubicon (2011).
• Teaching: Involved in graduate-level machine learning and statistical learning theory courses.

His recent work explores explainable machine learning and robust optimization, with a focus on algorithmic recourse, gradient filtering, and theoretical guarantees. His publications span top venues like NeurIPS, COLT, and JMLR, often addressing the intersection of statistics and machine learning.

He co-organized workshops such as the AI & Mathematics (AIM) initiative and contributed to the COLT program committee. His group develops MetaGrad and other adaptive algorithms for online learning.