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

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

6 December 2018

Miklós Rásonyi

S. Sabanis

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

8 / 8 papers shown

Title
On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates Stefano Bruno Ying Zhang Dong-Young Lim Ömer Deniz Akyildiz Sotirios Sabanis DiffM 33 4 0 22 Nov 2023
Kinetic Langevin MCMC Sampling Without Gradient Lipschitz Continuity -- the Strongly Convex Case Tim Johnston Iosif Lytras Sotirios Sabanis 30 8 0 19 Jan 2023
Parametric estimation of stochastic differential equations via online gradient descent Shogo H. Nakakita 16 3 0 17 Oct 2022
Uniform minorization condition and convergence bounds for discretizations of kinetic Langevin dynamics Alain Durmus Aurélien Enfroy Eric Moulines G. Stoltz 22 17 0 30 Jul 2021
Schr{ö}dinger-F{ö}llmer Sampler: Sampling without Ergodicity Jian Huang Yuling Jiao Lican Kang Xu Liao Jin Liu Yanyan Liu 29 27 0 21 Jun 2021
Taming neural networks with TUSLA: Non-convex learning via adaptive stochastic gradient Langevin algorithms A. Lovas Iosif Lytras Miklós Rásonyi Sotirios Sabanis 15 25 0 25 Jun 2020
Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization Ömer Deniz Akyildiz Sotirios Sabanis 35 17 0 13 Feb 2020
Stochastic Gradient Hamiltonian Monte Carlo for Non-Convex Learning Huy N. Chau M. Rásonyi 19 10 0 25 Mar 2019