Usable deviation bounds for the information content of convex measures

Matthieu Fradelizi; Jiange Li; Mokshay Madiman

doi:10.1109/ISIT44484.2020.9174263

Usable deviation bounds for the information content of convex measures

Matthieu Fradelizi
, Jiange Li
, Mokshay Madiman

Université Gustave Eiffel
University of Delaware

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	2020 IEEE International Symposium on Information Theory, ISIT 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2258-2263
Number of pages	6
ISBN (Electronic)	9781728164328
DOIs	https://doi.org/10.1109/ISIT44484.2020.9174263
State	Published - Jun 2020
Externally published	Yes
Event	2020 IEEE International Symposium on Information Theory, ISIT 2020 - Los Angeles, United States Duration: 21 Jul 2020 → 26 Jul 2020

Publication series

Name	IEEE International Symposium on Information Theory - Proceedings
Volume	2020-June
ISSN (Print)	2157-8095

Conference

Conference	2020 IEEE International Symposium on Information Theory, ISIT 2020
Country/Territory	United States
City	Los Angeles
Period	21/07/20 → 26/07/20

Access to Document

10.1109/ISIT44484.2020.9174263

Cite this

Fradelizi, M., Li, J., & Madiman, M. (2020). Usable deviation bounds for the information content of convex measures. In 2020 IEEE International Symposium on Information Theory, ISIT 2020 - Proceedings (pp. 2258-2263). Article 9174263 (IEEE International Symposium on Information Theory - Proceedings; Vol. 2020-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIT44484.2020.9174263

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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.",

author = "Matthieu Fradelizi and Jiange Li and Mokshay Madiman",

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year = "2020",

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doi = "10.1109/ISIT44484.2020.9174263",

language = "英语",

series = "IEEE International Symposium on Information Theory - Proceedings",

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Fradelizi, M, Li, J & Madiman, M 2020, Usable deviation bounds for the information content of convex measures. in 2020 IEEE International Symposium on Information Theory, ISIT 2020 - Proceedings., 9174263, IEEE International Symposium on Information Theory - Proceedings, vol. 2020-June, Institute of Electrical and Electronics Engineers Inc., pp. 2258-2263, 2020 IEEE International Symposium on Information Theory, ISIT 2020, Los Angeles, United States, 21/07/20. https://doi.org/10.1109/ISIT44484.2020.9174263

Usable deviation bounds for the information content of convex measures. / Fradelizi, Matthieu; Li, Jiange; Madiman, Mokshay.
2020 IEEE International Symposium on Information Theory, ISIT 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. p. 2258-2263 9174263 (IEEE International Symposium on Information Theory - Proceedings; Vol. 2020-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Fradelizi M, Li J, Madiman M. Usable deviation bounds for the information content of convex measures. In 2020 IEEE International Symposium on Information Theory, ISIT 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. p. 2258-2263. 9174263. (IEEE International Symposium on Information Theory - Proceedings). doi: 10.1109/ISIT44484.2020.9174263

Usable deviation bounds for the information content of convex measures

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