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Convergence of Langevin MCMC in KL-divergence
v1v2 (latest)

Convergence of Langevin MCMC in KL-divergence

25 May 2017
Xiang Cheng
Peter L. Bartlett
ArXiv (abs)PDFHTML

Papers citing "Convergence of Langevin MCMC in KL-divergence"

23 / 73 papers shown
Title
On stochastic gradient Langevin dynamics with dependent data streams:
  the fully non-convex case
On stochastic gradient Langevin dynamics with dependent data streams: the fully non-convex case
N. H. Chau
'. Moulines
Miklós Rásonyi
Sotirios Sabanis
Ying Zhang
97
41
0
30 May 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
Efficient MCMC Sampling with Dimension-Free Convergence Rate using
  ADMM-type Splitting
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting
Maxime Vono
Daniel Paulin
Arnaud Doucet
134
37
0
23 May 2019
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry
  Suffices
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices
Santosh Vempala
Andre Wibisono
152
269
0
20 Mar 2019
Is There an Analog of Nesterov Acceleration for MCMC?
Is There an Analog of Nesterov Acceleration for MCMC?
Yian Ma
Niladri Chatterji
Xiang Cheng
Nicolas Flammarion
Peter L. Bartlett
Michael I. Jordan
BDL
85
78
0
04 Feb 2019
Understanding MCMC Dynamics as Flows on the Wasserstein Space
Understanding MCMC Dynamics as Flows on the Wasserstein Space
Chang-Shu Liu
Jingwei Zhuo
Jun Zhu
106
22
0
01 Feb 2019
Simulated Tempering Langevin Monte Carlo II: An Improved Proof using
  Soft Markov Chain Decomposition
Simulated Tempering Langevin Monte Carlo II: An Improved Proof using Soft Markov Chain Decomposition
Rong Ge
Holden Lee
Andrej Risteski
189
29
0
29 Nov 2018
Sampling Can Be Faster Than Optimization
Sampling Can Be Faster Than Optimization
Yian Ma
Yuansi Chen
Chi Jin
Nicolas Flammarion
Michael I. Jordan
72
186
0
20 Nov 2018
Non-asymptotic bounds for sampling algorithms without log-concavity
Non-asymptotic bounds for sampling algorithms without log-concavity
Mateusz B. Majka
Aleksandar Mijatović
Lukasz Szpruch
79
75
0
21 Aug 2018
On sampling from a log-concave density using kinetic Langevin diffusions
On sampling from a log-concave density using kinetic Langevin diffusions
A. Dalalyan
L. Riou-Durand
120
158
0
24 Jul 2018
Sharp convergence rates for Langevin dynamics in the nonconvex setting
Sharp convergence rates for Langevin dynamics in the nonconvex setting
Xiang Cheng
Niladri S. Chatterji
Yasin Abbasi-Yadkori
Peter L. Bartlett
Michael I. Jordan
82
167
0
04 May 2018
Mirrored Langevin Dynamics
Mirrored Langevin Dynamics
Ya-Ping Hsieh
Ali Kavis
Paul Rolland
Volkan Cevher
102
85
0
27 Feb 2018
Analysis of Langevin Monte Carlo via convex optimization
Analysis of Langevin Monte Carlo via convex optimization
Alain Durmus
Szymon Majewski
B. Miasojedow
108
222
0
26 Feb 2018
Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo
Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo
Oren Mangoubi
Nisheeth K. Vishnoi
155
53
0
24 Feb 2018
Langevin Monte Carlo and JKO splitting
Langevin Monte Carlo and JKO splitting
Espen Bernton
88
80
0
23 Feb 2018
Sampling as optimization in the space of measures: The Langevin dynamics
  as a composite optimization problem
Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem
Andre Wibisono
123
183
0
22 Feb 2018
On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo
On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo
Niladri S. Chatterji
Nicolas Flammarion
Yian Ma
Peter L. Bartlett
Michael I. Jordan
86
87
0
15 Feb 2018
Stochastic Variance-Reduced Hamilton Monte Carlo Methods
Stochastic Variance-Reduced Hamilton Monte Carlo Methods
Difan Zou
Pan Xu
Quanquan Gu
BDL
74
31
0
13 Feb 2018
Log-concave sampling: Metropolis-Hastings algorithms are fast
Log-concave sampling: Metropolis-Hastings algorithms are fast
Raaz Dwivedi
Yuansi Chen
Martin J. Wainwright
Bin Yu
108
255
0
08 Jan 2018
User-friendly guarantees for the Langevin Monte Carlo with inaccurate
  gradient
User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient
A. Dalalyan
Avetik G. Karagulyan
120
297
0
29 Sep 2017
Acceleration and Averaging in Stochastic Mirror Descent Dynamics
Acceleration and Averaging in Stochastic Mirror Descent Dynamics
Walid Krichene
Peter L. Bartlett
46
10
0
19 Jul 2017
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical
  Viewpoints
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints
Wenlong Mou
Liwei Wang
Xiyu Zhai
Kai Zheng
MLT
64
159
0
19 Jul 2017
Underdamped Langevin MCMC: A non-asymptotic analysis
Underdamped Langevin MCMC: A non-asymptotic analysis
Xiang Cheng
Niladri S. Chatterji
Peter L. Bartlett
Michael I. Jordan
146
302
0
12 Jul 2017
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