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Local Glivenko-Cantelli: Estimating the Mean in Infinite Dimensions

HUJI Machine Learning Club via YouTube

Overview

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Explore a 59-minute lecture on Local Glivenko-Cantelli theory and mean estimation in infinite dimensions, delivered by Professor Aryeh Kontorovich from Ben-Gurion University. Dive into the mathematical challenges of estimating means in the d-dimensional Boolean cube using empirical mean estimators, with a focus on establishing dimension-free estimates. Learn about the novel sub-Gamma-type maximal inequality for shifted Bernoullis and discover the necessary conditions for convergence in product measures. Understand the transition from Universal to Local Glivenko-Cantelli settings, where distribution-dependent bounds become necessary for infinite-dimensional cases. Benefit from the expertise of Prof. Kontorovich, a distinguished researcher in machine learning, probability, and statistics, who currently serves as the director of the Ben-Gurion University Data Science Research Center. Engage with cutting-edge research problems presented from his joint work with Doron Cohen, while gaining insights into this complex mathematical domain.

Syllabus

Delivered on Thursday, December 8th, 2022, AM

Taught by

HUJI Machine Learning Club

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