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Conference papers
Information concentration for convex measures
Abstract : Sharp exponential deviation estimates of the information content as well as a sharp bound on the varentropy are obtained for convex probability measures on Euclidean spaces. These provide, in a sense, a nonasymptotic equipartition property for convex measures even in the absence of stationarity-type assumptions.
Cited literature [15 references]
https://hal-upec-upem.archives-ouvertes.fr/hal-01590229
Contributor : Matthieu Fradelizi Connect in order to contact the contributor
Submitted on : Tuesday, September 19, 2017 - 2:02:27 PM
Last modification on : Wednesday, October 27, 2021 - 1:25:48 PM
Contributor : Matthieu Fradelizi Connect in order to contact the contributor
Submitted on : Tuesday, September 19, 2017 - 2:02:27 PM
Last modification on : Wednesday, October 27, 2021 - 1:25:48 PM
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FLM-isit16-final.pdf
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