Seminar
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| Location: | SLMath: Eisenbud Auditorium, Online/Virtual |
Keywords and Mathematics Subject Classification (MSC)
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Information-theoretic approaches to simple binary hypothesis testing
Simple binary hypothesis testing is a fundamental problem in statistics. In this talk, we discuss some recent progress in understanding its sample complexity. We also discuss distributed variants of this problem and highlight how information theoretic ideas, such as "reverse data-processing inequalities" or "one-shot lower bound that tensorise" contribute to their analyses.
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