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Bounding the error of discretized Langevin algorithms for non-strongly
  log-concave targets
v1v2v3 (latest)

Bounding the error of discretized Langevin algorithms for non-strongly log-concave targets

20 June 2019
A. Dalalyan
Avetik G. Karagulyan
L. Riou-Durand
ArXiv (abs)PDFHTML

Papers citing "Bounding the error of discretized Langevin algorithms for non-strongly log-concave targets"

28 / 28 papers shown
Title
Constrained Sampling with Primal-Dual Langevin Monte Carlo
Constrained Sampling with Primal-Dual Langevin Monte Carlo
Luiz F. O. Chamon
Mohammad Reza Karimi
Anna Korba
89
3
0
08 Jan 2025
Sampling from the Mean-Field Stationary Distribution
Sampling from the Mean-Field Stationary Distribution
Yunbum Kook
Matthew Shunshi Zhang
Sinho Chewi
Murat A. Erdogdu
Mufan Li
120
7
0
12 Feb 2024
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
Yiheng Jiang
Sinho Chewi
Aram-Alexandre Pooladian
189
10
0
05 Dec 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
ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional
  Compression
ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression
Avetik G. Karagulyan
Peter Richtárik
FedML
64
6
0
08 Mar 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
Stochastic Langevin Monte Carlo for (weakly) log-concave posterior
  distributions
Stochastic Langevin Monte Carlo for (weakly) log-concave posterior distributions
Marelys Crespo Navas
S. Gadat
X. Gendre
78
0
0
08 Jan 2023
Resolving the Mixing Time of the Langevin Algorithm to its Stationary
  Distribution for Log-Concave Sampling
Resolving the Mixing Time of the Langevin Algorithm to its Stationary Distribution for Log-Concave Sampling
Jason M. Altschuler
Kunal Talwar
103
25
0
16 Oct 2022
Sampling is as easy as learning the score: theory for diffusion models
  with minimal data assumptions
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
Sitan Chen
Sinho Chewi
Jungshian Li
Yuanzhi Li
Adil Salim
Anru R. Zhang
DiffM
227
278
0
22 Sep 2022
Convergence of Stein Variational Gradient Descent under a Weaker
  Smoothness Condition
Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition
Lukang Sun
Avetik G. Karagulyan
Peter Richtárik
88
19
0
01 Jun 2022
A Proximal Algorithm for Sampling
A Proximal Algorithm for Sampling
Jiaming Liang
Yongxin Chen
102
18
0
28 Feb 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
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
Heavy-tailed Sampling via Transformed Unadjusted Langevin Algorithm
Heavy-tailed Sampling via Transformed Unadjusted Langevin Algorithm
Ye He
Krishnakumar Balasubramanian
Murat A. Erdogdu
83
5
0
20 Jan 2022
Geometrically adapted Langevin dynamics for Markov chain Monte Carlo
  simulations
Geometrically adapted Langevin dynamics for Markov chain Monte Carlo simulations
Mariya Mamajiwala
D. Roy
S. Guillas
27
0
0
20 Jan 2022
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
Unadjusted Langevin algorithm for non-convex weakly smooth potentials
Unadjusted Langevin algorithm for non-convex weakly smooth potentials
D. Nguyen
Xin Dang
Yixin Chen
78
14
0
16 Jan 2021
Optimal dimension dependence of the Metropolis-Adjusted Langevin
  Algorithm
Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm
Sinho Chewi
Chen Lu
Kwangjun Ahn
Xiang Cheng
Thibaut Le Gouic
Philippe Rigollet
105
66
0
23 Dec 2020
On the cost of Bayesian posterior mean strategy for log-concave models
On the cost of Bayesian posterior mean strategy for log-concave models
S. Gadat
Fabien Panloup
Clément Pellegrini
57
7
0
08 Oct 2020
High-dimensional MCMC with a standard splitting scheme for the
  underdamped Langevin diffusion
High-dimensional MCMC with a standard splitting scheme for the underdamped Langevin diffusion
Pierre Monmarché
88
47
0
10 Jul 2020
Penalized Langevin dynamics with vanishing penalty for smooth and
  log-concave targets
Penalized Langevin dynamics with vanishing penalty for smooth and log-concave targets
Avetik G. Karagulyan
A. Dalalyan
50
8
0
24 Jun 2020
On the Convergence of Langevin Monte Carlo: The Interplay between Tail
  Growth and Smoothness
On the Convergence of Langevin Monte Carlo: The Interplay between Tail Growth and Smoothness
Murat A. Erdogdu
Rasa Hosseinzadeh
88
77
0
27 May 2020
Exponential ergodicity of mirror-Langevin diffusions
Exponential ergodicity of mirror-Langevin diffusions
Sinho Chewi
Thibaut Le Gouic
Chen Lu
Tyler Maunu
Philippe Rigollet
Austin J. Stromme
82
51
0
19 May 2020
Black-box sampling for weakly smooth Langevin Monte Carlo using
  p-generalized Gaussian smoothing
Black-box sampling for weakly smooth Langevin Monte Carlo using p-generalized Gaussian smoothing
Anh Doan
Xin Dang
D. Nguyen
37
1
0
24 Feb 2020
Wasserstein Control of Mirror Langevin Monte Carlo
Wasserstein Control of Mirror Langevin Monte Carlo
Kelvin Shuangjian Zhang
Gabriel Peyré
M. Fadili
Marcelo Pereyra
71
66
0
11 Feb 2020
Improved Bounds for Discretization of Langevin Diffusions: Near-Optimal
  Rates without Convexity
Improved Bounds for Discretization of Langevin Diffusions: Near-Optimal Rates without Convexity
Wenlong Mou
Nicolas Flammarion
Martin J. Wainwright
Peter L. Bartlett
68
68
0
25 Jul 2019
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