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Paper Detail

Paper IDS.10.3
Paper Title Usable deviation bounds for the information content of convex measures
Authors Matthieu Fradelizi, Université Paris-Est, France; Jiange Li, Mokshay Madiman, University of Delaware, United States
Session S.10: Information Measures II
Presentation Lecture
Track Shannon Theory
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Abstract Usable upper and lower deviation bounds are given for the information content of random vectors from a $s$-concave probability density function. Some information-theoretic interpretation, related to non-asymptotic equipartition properties, is also developed.

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2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

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