On measures strongly log-concave on a subspace

In this work we study the concentration properties of log-concave measures that are curved only on a subspace of directions. Proofs uses an adapted version of the stochastic localization process.

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Main Author:	Bizeul, Pierre
Format:	Journal Article
Language:	English
Published:	17-03-2022
Subjects:	Mathematics - Functional Analysis Mathematics - Probability
Online Access:	Get full text
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Abstract	In this work we study the concentration properties of log-concave measures that are curved only on a subspace of directions. Proofs uses an adapted version of the stochastic localization process.
AbstractList	In this work we study the concentration properties of log-concave measures that are curved only on a subspace of directions. Proofs uses an adapted version of the stochastic localization process.
Author	Bizeul, Pierre
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Snippet	In this work we study the concentration properties of log-concave measures that are curved only on a subspace of directions. Proofs uses an adapted version of...
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Title	On measures strongly log-concave on a subspace
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