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High-dimensional MCMC with a standard splitting scheme for the
  underdamped Langevin diffusion
v1v2v3v4 (latest)

High-dimensional MCMC with a standard splitting scheme for the underdamped Langevin diffusion

10 July 2020
Pierre Monmarché
ArXiv (abs)PDFHTML

Papers citing "High-dimensional MCMC with a standard splitting scheme for the underdamped Langevin diffusion"

29 / 29 papers shown
Title
A Langevin sampling algorithm inspired by the Adam optimizer
A Langevin sampling algorithm inspired by the Adam optimizer
Benedict Leimkuhler
René Lohmann
Peter Whalley
156
0
0
26 Apr 2025
Underdamped Diffusion Bridges with Applications to Sampling
Denis Blessing
Julius Berner
Lorenz Richter
Gerhard Neumann
DiffM
138
6
0
02 Mar 2025
Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics
Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics
Daniel Paulin
Peter Whalley
Neil K. Chada
Benedict Leimkuhler
BDL
108
4
0
14 Oct 2024
Mixing of the No-U-Turn Sampler and the Geometry of Gaussian
  Concentration
Mixing of the No-U-Turn Sampler and the Geometry of Gaussian Concentration
Nawaf Bou-Rabee
Stefan Oberdörster
53
1
0
09 Oct 2024
Kinetic Interacting Particle Langevin Monte Carlo
Kinetic Interacting Particle Langevin Monte Carlo
Paul Felix Valsecchi Oliva
O. Deniz Akyildiz
110
6
0
08 Jul 2024
Parallelized Midpoint Randomization for Langevin Monte Carlo
Parallelized Midpoint Randomization for Langevin Monte Carlo
Lu Yu
A. Dalalyan
75
7
0
22 Feb 2024
Non-reversible lifts of reversible diffusion processes and relaxation
  times
Non-reversible lifts of reversible diffusion processes and relaxation times
Andreas Eberle
Francis Lörler
52
9
0
07 Feb 2024
Mean-field underdamped Langevin dynamics and its spacetime
  discretization
Mean-field underdamped Langevin dynamics and its spacetime discretization
Qiang Fu
Ashia Wilson
80
4
0
26 Dec 2023
Contraction Rate Estimates of Stochastic Gradient Kinetic Langevin
  Integrators
Contraction Rate Estimates of Stochastic Gradient Kinetic Langevin Integrators
Benedict Leimkuhler
Daniel Paulin
Peter Whalley
68
6
0
14 Jun 2023
Langevin Monte Carlo for strongly log-concave distributions: Randomized
  midpoint revisited
Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited
Lu Yu
Avetik G. Karagulyan
A. Dalalyan
67
7
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
Thomas Pock
97
4
0
25 May 2023
Solving Linear Inverse Problems using Higher-Order Annealed Langevin
  Diffusion
Solving Linear Inverse Problems using Higher-Order Annealed Langevin Diffusion
Nicolas Zilberstein
A. Sabharwal
Santiago Segarra
DiffM
107
9
0
08 May 2023
Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed
  Sampling
Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling
Ye He
Tyler Farghly
Krishnakumar Balasubramanian
Murat A. Erdogdu
91
4
0
01 Mar 2023
Contraction and Convergence Rates for Discretized Kinetic Langevin
  Dynamics
Contraction and Convergence Rates for Discretized Kinetic Langevin Dynamics
Benedict Leimkuhler
Daniel Paulin
Peter Whalley
133
17
0
21 Feb 2023
Faster high-accuracy log-concave sampling via algorithmic warm starts
Faster high-accuracy log-concave sampling via algorithmic warm starts
Jason M. Altschuler
Sinho Chewi
112
36
0
20 Feb 2023
Improved Discretization Analysis for Underdamped Langevin Monte Carlo
Improved Discretization Analysis for Underdamped Langevin Monte Carlo
Matthew Shunshi Zhang
Sinho Chewi
Mufan Li
Krishnakumar Balasubramanian
Murat A. Erdogdu
68
35
0
16 Feb 2023
Langevin Diffusion Variational Inference
Langevin Diffusion Variational Inference
Tomas Geffner
Justin Domke
DiffM
75
24
0
16 Aug 2022
Metropolis Adjusted Langevin Trajectories: a robust alternative to
  Hamiltonian Monte Carlo
Metropolis Adjusted Langevin Trajectories: a robust alternative to Hamiltonian Monte Carlo
L. Riou-Durand
Jure Vogrinc
90
15
0
26 Feb 2022
Nonlinear MCMC for Bayesian Machine Learning
Nonlinear MCMC for Bayesian Machine Learning
James Vuckovic
65
2
0
11 Feb 2022
HMC and underdamped Langevin united in the unadjusted convex smooth case
HMC and underdamped Langevin united in the unadjusted convex smooth case
Nicolai Gouraud
Pierre Le Bris
Adrien Majka
Pierre Monmarché
82
12
0
02 Feb 2022
Optimal friction matrix for underdamped Langevin sampling
Optimal friction matrix for underdamped Langevin sampling
Martin Chak
N. Kantas
T. Lelièvre
G. Pavliotis
54
10
0
30 Nov 2021
Revisiting the Effects of Stochasticity for Hamiltonian Samplers
Revisiting the Effects of Stochasticity for Hamiltonian Samplers
Giulio Franzese
Dimitrios Milios
Maurizio Filippone
Pietro Michiardi
32
3
0
30 Jun 2021
Monte Carlo Variational Auto-Encoders
Monte Carlo Variational Auto-Encoders
Achille Thin
Nikita Kotelevskii
Arnaud Doucet
Alain Durmus
Eric Moulines
Maxim Panov
BDLDRL
67
45
0
30 Jun 2021
Mixing Time Guarantees for Unadjusted Hamiltonian Monte Carlo
Mixing Time Guarantees for Unadjusted Hamiltonian Monte Carlo
Nawaf Bou-Rabee
A. Eberle
110
31
0
03 May 2021
Wasserstein distance estimates for the distributions of numerical
  approximations to ergodic stochastic differential equations
Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations
J. Sanz-Serna
K. Zygalakis
71
23
0
26 Apr 2021
Truncated Log-concave Sampling with Reflective Hamiltonian Monte Carlo
Truncated Log-concave Sampling with Reflective Hamiltonian Monte Carlo
Apostolos Chalkis
Vissarion Fisikopoulos
Marios Papachristou
Elias P. Tsigaridas
73
8
0
25 Feb 2021
The shifted ODE method for underdamped Langevin MCMC
The shifted ODE method for underdamped Langevin MCMC
James Foster
Terry Lyons
Harald Oberhauser
93
16
0
10 Jan 2021
Complexity of zigzag sampling algorithm for strongly log-concave
  distributions
Complexity of zigzag sampling algorithm for strongly log-concave distributions
Jianfeng Lu
Lihan Wang
62
6
0
21 Dec 2020
Gibbs posterior convergence and the thermodynamic formalism
Gibbs posterior convergence and the thermodynamic formalism
K. Mcgoff
S. Mukherjee
A. Nobel
79
10
0
24 Jan 2019
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