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2007.05455
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High-dimensional MCMC with a standard splitting scheme for the underdamped Langevin diffusion
10 July 2020
Pierre Monmarché
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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
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Underdamped Diffusion Bridges with Applications to Sampling
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Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics
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Mixing of the No-U-Turn Sampler and the Geometry of Gaussian Concentration
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Stefan Oberdörster
53
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09 Oct 2024
Kinetic Interacting Particle Langevin Monte Carlo
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O. Deniz Akyildiz
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Parallelized Midpoint Randomization for Langevin Monte Carlo
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A. Dalalyan
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Non-reversible lifts of reversible diffusion processes and relaxation times
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Francis Lörler
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07 Feb 2024
Mean-field underdamped Langevin dynamics and its spacetime discretization
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Ashia Wilson
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Contraction Rate Estimates of Stochastic Gradient Kinetic Langevin Integrators
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Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited
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Avetik G. Karagulyan
A. Dalalyan
67
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14 Jun 2023
Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms
Tim Tsz-Kit Lau
Han Liu
Thomas Pock
97
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25 May 2023
Solving Linear Inverse Problems using Higher-Order Annealed Langevin Diffusion
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A. Sabharwal
Santiago Segarra
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107
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Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling
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Tyler Farghly
Krishnakumar Balasubramanian
Murat A. Erdogdu
91
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01 Mar 2023
Contraction and Convergence Rates for Discretized Kinetic Langevin Dynamics
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Peter Whalley
133
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Faster high-accuracy log-concave sampling via algorithmic warm starts
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Sinho Chewi
112
36
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20 Feb 2023
Improved Discretization Analysis for Underdamped Langevin Monte Carlo
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Sinho Chewi
Mufan Li
Krishnakumar Balasubramanian
Murat A. Erdogdu
68
35
0
16 Feb 2023
Langevin Diffusion Variational Inference
Tomas Geffner
Justin Domke
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75
24
0
16 Aug 2022
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
James Vuckovic
65
2
0
11 Feb 2022
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
Martin Chak
N. Kantas
T. Lelièvre
G. Pavliotis
54
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0
30 Nov 2021
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
Achille Thin
Nikita Kotelevskii
Arnaud Doucet
Alain Durmus
Eric Moulines
Maxim Panov
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67
45
0
30 Jun 2021
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
J. Sanz-Serna
K. Zygalakis
71
23
0
26 Apr 2021
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
James Foster
Terry Lyons
Harald Oberhauser
93
16
0
10 Jan 2021
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
K. Mcgoff
S. Mukherjee
A. Nobel
79
10
0
24 Jan 2019
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