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Uniform minorization condition and convergence bounds for
  discretizations of kinetic Langevin dynamics

Uniform minorization condition and convergence bounds for discretizations of kinetic Langevin dynamics

30 July 2021
Alain Durmus
Aurélien Enfroy
Eric Moulines
G. Stoltz
ArXivPDFHTML

Papers citing "Uniform minorization condition and convergence bounds for discretizations of kinetic Langevin dynamics"

10 / 10 papers shown
Title
A Langevin sampling algorithm inspired by the Adam optimizer
A Langevin sampling algorithm inspired by the Adam optimizer
B. Leimkuhler
René Lohmann
P. Whalley
79
0
0
26 Apr 2025
Contraction Rate Estimates of Stochastic Gradient Kinetic Langevin
  Integrators
Contraction Rate Estimates of Stochastic Gradient Kinetic Langevin Integrators
B. Leimkuhler
Daniel Paulin
P. Whalley
23
5
0
14 Jun 2023
Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo
  Algorithms
Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms
Tim Tsz-Kit Lau
Han Liu
T. Pock
39
4
0
25 May 2023
Contraction and Convergence Rates for Discretized Kinetic Langevin
  Dynamics
Contraction and Convergence Rates for Discretized Kinetic Langevin Dynamics
B. Leimkuhler
Daniel Paulin
P. Whalley
32
16
0
21 Feb 2023
Sampling algorithms in statistical physics: a guide for statistics and
  machine learning
Sampling algorithms in statistical physics: a guide for statistics and machine learning
Michael F Faulkner
Samuel Livingstone
13
6
0
09 Aug 2022
Unbiased Estimation using Underdamped Langevin Dynamics
Unbiased Estimation using Underdamped Langevin Dynamics
Hamza Ruzayqat
Neil K. Chada
Ajay Jasra
33
4
0
14 Jun 2022
On the geometric convergence for MALA under verifiable conditions
On the geometric convergence for MALA under verifiable conditions
Alain Durmus
Eric Moulines
18
12
0
06 Jan 2022
Optimal friction matrix for underdamped Langevin sampling
Optimal friction matrix for underdamped Langevin sampling
Martin Chak
N. Kantas
T. Lelièvre
G. Pavliotis
9
8
0
30 Nov 2021
Quantifying the mini-batching error in Bayesian inference for Adaptive
  Langevin dynamics
Quantifying the mini-batching error in Bayesian inference for Adaptive Langevin dynamics
Inass Sekkat
G. Stoltz
12
4
0
21 May 2021
On the Convergence of Stochastic Gradient MCMC Algorithms with
  High-Order Integrators
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators
Changyou Chen
Nan Ding
Lawrence Carin
32
158
0
21 Oct 2016
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