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1906.08530
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Bounding the error of discretized Langevin algorithms for non-strongly log-concave targets
20 June 2019
A. Dalalyan
Avetik G. Karagulyan
L. Riou-Durand
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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
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Sampling from the Mean-Field Stationary Distribution
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Matthew Shunshi Zhang
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Murat A. Erdogdu
Mufan Li
120
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12 Feb 2024
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
Lu Yu
Avetik G. Karagulyan
A. Dalalyan
67
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0
14 Jun 2023
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
Ye He
Tyler Farghly
Krishnakumar Balasubramanian
Murat A. Erdogdu
91
4
0
01 Mar 2023
Contraction and Convergence Rates for Discretized Kinetic Langevin Dynamics
Benedict Leimkuhler
Daniel Paulin
Peter Whalley
133
17
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21 Feb 2023
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
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
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
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
Lukang Sun
Avetik G. Karagulyan
Peter Richtárik
88
19
0
01 Jun 2022
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
L. Riou-Durand
Jure Vogrinc
90
15
0
26 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
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
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
J. Sanz-Serna
K. Zygalakis
71
23
0
26 Apr 2021
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
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
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
Pierre Monmarché
88
47
0
10 Jul 2020
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
Murat A. Erdogdu
Rasa Hosseinzadeh
88
77
0
27 May 2020
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
Anh Doan
Xin Dang
D. Nguyen
37
1
0
24 Feb 2020
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
Wenlong Mou
Nicolas Flammarion
Martin J. Wainwright
Peter L. Bartlett
68
68
0
25 Jul 2019
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