Frontiers in Statistical Machine Learning (FSML) 2026
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Description
Building on the success of last year’s inaugural launch, the Institute of Mathematical Statistics (IMS) is proud to present the 2026 Frontiers in Statistical Machine Learning (FSML) workshop. This annual series continues its mission to spotlight emerging and impactful topics in statistical machine learning that are rapidly evolving but have yet to receive significant attention in leading IMS and ASA publications.
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Meet the speakers
Yan Shuo Tan
Theme:National University of Singapore
Yuexi Wang
Theme:University of Illinois Urbana-Champaign
Alexander Henzi
Theme:Tsinghua University
Andrej Risteski
Theme:Carnegie Mellon University
Pragya Sur
Theme:Harvard University
Yuxin Chen
Theme:University of Pennsylvania
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