On stochastic gradient Langevin dynamics with dependent data streams in the logconcave case-Reference-Cited by-同舟云学术

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On stochastic gradient Langevin dynamics with dependent data streams in the logconcave case

Published:2021-02-01 Issue:1 Volume:27 Page:
ISSN:1350-7265
Container-title:Bernoulli
language:
Short-container-title:Bernoulli

Author:

Barkhagen M.,Chau N.H.,Moulines É.,Rásonyi M.,Sabanis S.,Zhang Y.

Publisher

Bernoulli Society for Mathematical Statistics and Probability

Subject

Statistics and Probability

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Kinetic Langevin MCMC sampling without gradient Lipschitz continuity - the strongly convex case;Journal of Complexity;2024-12

2. Langevin Dynamics Based Algorithm e-THεO POULA for Stochastic Optimization Problems with Discontinuous Stochastic Gradient;Mathematics of Operations Research;2024-09-11

3. Non-Asymptotic Estimates for Stochastic Gradient Hamiltonian Monte Carlo Algorithm with Dependent Data Streams;Advances in Applied Mathematics;2024

4. Unbiased Time-Average Estimators for Markov Chains;Mathematics of Operations Research;2023-10-17

5. Global Optimization via Schrödinger–Föllmer Diffusion;SIAM Journal on Control and Optimization;2023-09-28

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