On measures strongly log-concave on a subspace

Fuente: arXiv
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Auteur principal: Bizeul, Pierre
Format: Preprint
Publié: 2022
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author Bizeul, Pierre
author_facet Bizeul, Pierre
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2203_09422
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle On measures strongly log-concave on a subspace
Bizeul, Pierre
Functional Analysis
Probability
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.
title On measures strongly log-concave on a subspace
topic Functional Analysis
Probability
url https://arxiv.org/abs/2203.09422