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Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for
  Log-Concave Sampling

Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling

27 September 2021
Keru Wu
S. Schmidler
Yuansi Chen
ArXivPDFHTML

Papers citing "Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling"

8 / 8 papers shown
Title
Convergence Analysis of the Wasserstein Proximal Algorithm beyond Geodesic Convexity
Shuailong Zhu
Xiaohui Chen
65
0
0
28 Jan 2025
Score-Based Metropolis-Hastings Algorithms
Score-Based Metropolis-Hastings Algorithms
Ahmed Aloui
Ali Hasan
Juncheng Dong
Zihao Wu
Vahid Tarokh
DiffM
34
0
0
31 Dec 2024
When does Metropolized Hamiltonian Monte Carlo provably outperform
  Metropolis-adjusted Langevin algorithm?
When does Metropolized Hamiltonian Monte Carlo provably outperform Metropolis-adjusted Langevin algorithm?
Yuansi Chen
Khashayar Gatmiry
78
15
0
10 Apr 2023
Query lower bounds for log-concave sampling
Query lower bounds for log-concave sampling
Sinho Chewi
Jaume de Dios Pont
Jerry Li
Chen Lu
Shyam Narayanan
17
8
0
05 Apr 2023
Nesterov smoothing for sampling without smoothness
Nesterov smoothing for sampling without smoothness
JiaoJiao Fan
Bo Yuan
Jiaming Liang
Yongxin Chen
17
2
0
15 Aug 2022
Scalable Bayesian computation for crossed and nested hierarchical models
Scalable Bayesian computation for crossed and nested hierarchical models
O. Papaspiliopoulos
Timothée Stumpf-Fétizon
Giacomo Zanella
18
7
0
19 Mar 2021
Convergence of Langevin Monte Carlo in Chi-Squared and Renyi Divergence
Convergence of Langevin Monte Carlo in Chi-Squared and Renyi Divergence
Murat A. Erdogdu
Rasa Hosseinzadeh
Matthew Shunshi Zhang
73
41
0
22 Jul 2020
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
130
3,260
0
09 Jun 2012
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