Explore an asymptotic toy model of overparameterized learning that reveals intriguing phenomena in this 38-minute lecture by Anant Sahai from UC Berkeley. Delve into information-theoretic methods for trustworthy machine learning as part of the Simons Institute series. Gain insights into the complexities of overparameterized learning and its implications for the field of artificial intelligence.
Overparameterized Learning - An Asymptotic Toy Model That Shows Interesting Phenomena
Overview
Syllabus
Overparameterized learning: an asymptotic toy model that shows interesting phenomena
Taught by
Simons Institute
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