Majorizing Measures, Codes, and Information

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United States Simons Institute for the Theory of Computing
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Published on ● Video Link: https://www.youtube.com/watch?v=SNVf-6_-K_E


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Duration: 35:55
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Maxim Raginsky (University of Illinois, Urbana-Champaign)
https://simons.berkeley.edu/talks/maxim-raginsky-university-illinois-urbana-champaign-2023-05-22
Information-Theoretic Methods for Trustworthy Machine Learning



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Tags:
Simons Institute
theoretical computer science
UC Berkeley
Computer Science
Theory of Computation
Theory of Computing
Information-Theoretic Methods for Trustworthy Machine Learning
Maxim Raginsky