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Convergence of Langevin MCMC in KL-divergence
25 May 2017
Xiang Cheng
Peter L. Bartlett
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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
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
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
Maxime Vono
Daniel Paulin
Arnaud Doucet
134
37
0
23 May 2019
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices
Santosh Vempala
Andre Wibisono
150
269
0
20 Mar 2019
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
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
Rong Ge
Holden Lee
Andrej Risteski
189
29
0
29 Nov 2018
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
Mateusz B. Majka
Aleksandar Mijatović
Lukasz Szpruch
79
75
0
21 Aug 2018
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
Xiang Cheng
Niladri S. Chatterji
Yasin Abbasi-Yadkori
Peter L. Bartlett
Michael I. Jordan
82
167
0
04 May 2018
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
Alain Durmus
Szymon Majewski
B. Miasojedow
108
222
0
26 Feb 2018
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
Espen Bernton
88
80
0
23 Feb 2018
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
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
Difan Zou
Pan Xu
Quanquan Gu
BDL
74
31
0
13 Feb 2018
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
A. Dalalyan
Avetik G. Karagulyan
117
297
0
29 Sep 2017
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
Wenlong Mou
Liwei Wang
Xiyu Zhai
Kai Zheng
MLT
64
159
0
19 Jul 2017
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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