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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"

17 / 17 papers shown
Title
Operator-Level Quantum Acceleration of Non-Logconcave Sampling
Operator-Level Quantum Acceleration of Non-Logconcave Sampling
Jiaqi Leng
Zhiyan Ding
Zherui Chen
Lin Lin
54
0
0
08 May 2025
Mixing Time of the Proximal Sampler in Relative Fisher Information via Strong Data Processing Inequality
Andre Wibisono
38
1
0
08 Feb 2025
Convergence Analysis of the Wasserstein Proximal Algorithm beyond Geodesic Convexity
Shuailong Zhu
Xiaohui Chen
72
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
91
15
0
10 Apr 2023
A Simple Proof of the Mixing of Metropolis-Adjusted Langevin Algorithm
  under Smoothness and Isoperimetry
A Simple Proof of the Mixing of Metropolis-Adjusted Langevin Algorithm under Smoothness and Isoperimetry
Yuansi Chen
Khashayar Gatmiry
11
6
0
08 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
27
8
0
05 Apr 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
25
24
0
16 Oct 2022
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating
  Normalizing Constants
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants
Andrew M. Childs
Tongyang Li
Jin-Peng Liu
C. Wang
Ruizhe Zhang
20
16
0
12 Oct 2022
Fisher information lower bounds for sampling
Fisher information lower bounds for sampling
Sinho Chewi
P. Gerber
Holden Lee
Chen Lu
40
15
0
05 Oct 2022
Hamiltonian Monte Carlo for efficient Gaussian sampling: long and random
  steps
Hamiltonian Monte Carlo for efficient Gaussian sampling: long and random steps
Simon Apers
S. Gribling
Dániel Szilágyi
24
10
0
26 Sep 2022
Nesterov smoothing for sampling without smoothness
Nesterov smoothing for sampling without smoothness
JiaoJiao Fan
Bo Yuan
Jiaming Liang
Yongxin Chen
32
2
0
15 Aug 2022
Asymptotic bias of inexact Markov Chain Monte Carlo methods in high
  dimension
Asymptotic bias of inexact Markov Chain Monte Carlo methods in high dimension
Alain Durmus
A. Eberle
22
19
0
02 Aug 2021
The query complexity of sampling from strongly log-concave distributions
  in one dimension
The query complexity of sampling from strongly log-concave distributions in one dimension
Sinho Chewi
P. Gerber
Chen Lu
Thibaut Le Gouic
Philippe Rigollet
16
21
0
29 May 2021
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
23
10
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
83
41
0
22 Jul 2020
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
173
3,260
0
09 Jun 2012
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