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Nonconvex sampling with the Metropolis-adjusted Langevin algorithm
v1v2 (latest)

Nonconvex sampling with the Metropolis-adjusted Langevin algorithm

22 February 2019
Oren Mangoubi
Nisheeth K. Vishnoi
ArXiv (abs)PDFHTML

Papers citing "Nonconvex sampling with the Metropolis-adjusted Langevin algorithm"

12 / 12 papers shown
Title
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
59
6
0
08 Mar 2023
Bregman Proximal Langevin Monte Carlo via Bregman--Moreau Envelopes
Bregman Proximal Langevin Monte Carlo via Bregman--Moreau Envelopes
Tim Tsz-Kit Lau
Han Liu
122
7
0
10 Jul 2022
Testing distributional assumptions of learning algorithms
Testing distributional assumptions of learning algorithms
R. Rubinfeld
Arsen Vasilyan
OOD
36
19
0
14 Apr 2022
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
Keru Wu
S. Schmidler
Yuansi Chen
127
54
0
27 Sep 2021
Learning General Halfspaces with General Massart Noise under the
  Gaussian Distribution
Learning General Halfspaces with General Massart Noise under the Gaussian Distribution
Ilias Diakonikolas
D. Kane
Vasilis Kontonis
Christos Tzamos
Nikos Zarifis
65
26
0
19 Aug 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
91
66
0
23 Dec 2020
Faster Convergence of Stochastic Gradient Langevin Dynamics for
  Non-Log-Concave Sampling
Faster Convergence of Stochastic Gradient Langevin Dynamics for Non-Log-Concave Sampling
Difan Zou
Pan Xu
Quanquan Gu
101
36
0
19 Oct 2020
Learning Halfspaces with Massart Noise Under Structured Distributions
Learning Halfspaces with Massart Noise Under Structured Distributions
Ilias Diakonikolas
Vasilis Kontonis
Christos Tzamos
Nikos Zarifis
72
61
0
13 Feb 2020
Proximal Langevin Algorithm: Rapid Convergence Under Isoperimetry
Proximal Langevin Algorithm: Rapid Convergence Under Isoperimetry
Andre Wibisono
135
49
0
04 Nov 2019
Bounding the error of discretized Langevin algorithms for non-strongly
  log-concave targets
Bounding the error of discretized Langevin algorithms for non-strongly log-concave targets
A. Dalalyan
Avetik G. Karagulyan
L. Riou-Durand
94
38
0
20 Jun 2019
Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of
  multi-step gradients
Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients
Yuansi Chen
Raaz Dwivedi
Martin J. Wainwright
Bin Yu
55
102
0
29 May 2019
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry
  Suffices
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices
Santosh Vempala
Andre Wibisono
119
269
0
20 Mar 2019
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