Kinetic Langevin MCMC sampling without gradient Lipschitz continuity - the strongly convex case-Reference-Cited by-同舟云学术

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Kinetic Langevin MCMC sampling without gradient Lipschitz continuity - the strongly convex case

Published:2024-12 Issue: Volume:85 Page:101873
ISSN:0885-064X
Container-title:Journal of Complexity
language:en
Short-container-title:Journal of Complexity

Author:

Johnston Tim,Lytras Iosif,Sabanis Sotirios

Funder

European Commission

Publisher

Elsevier BV

Reference38 articles.

1. Towards a theory of non-log-concave sampling: first-order stationarity guarantees for Langevin Monte Carlo;Balasubramanian,2022

2. On stochastic gradient Langevin dynamics with dependent data streams in the logconcave case;Barkhagen;Bernoulli,2021

3. Convex Analysis and Monotone Operator Theory in Hilbert Spaces;Bauschke,2011

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