Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2010.05263
Cited By
v1
v2 (latest)
Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev
11 October 2020
Tianlin Li
Qi Lei
Ioannis Panageas
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev"
30 / 30 papers shown
Title
Sampling and estimation on manifolds using the Langevin diffusion
Karthik Bharath
Alexander Lewis
Akash Sharma
M. Tretyakov
DiffM
124
5
0
22 Dec 2023
A mean-field analysis of two-player zero-sum games
Carles Domingo-Enrich
Samy Jelassi
A. Mensch
Grant M. Rotskoff
Joan Bruna
MLT
104
41
0
14 Feb 2020
Fast Convergence for Langevin Diffusion with Manifold Structure
Ankur Moitra
Andrej Risteski
49
7
0
13 Feb 2020
Wasserstein Control of Mirror Langevin Monte Carlo
Kelvin Shuangjian Zhang
Gabriel Peyré
M. Fadili
Marcelo Pereyra
54
66
0
11 Feb 2020
Proximal Langevin Algorithm: Rapid Convergence Under Isoperimetry
Andre Wibisono
130
49
0
04 Nov 2019
Langevin Monte Carlo without smoothness
Niladri S. Chatterji
Jelena Diakonikolas
Michael I. Jordan
Peter L. Bartlett
BDL
87
43
0
30 May 2019
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices
Santosh Vempala
Andre Wibisono
90
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
56
78
0
04 Feb 2019
Understanding MCMC Dynamics as Flows on the Wasserstein Space
Chang-Shu Liu
Jingwei Zhuo
Jun Zhu
76
22
0
01 Feb 2019
Non-asymptotic bounds for sampling algorithms without log-concavity
Mateusz B. Majka
Aleksandar Mijatović
Lukasz Szpruch
48
73
0
21 Aug 2018
Stochastic natural gradient descent draws posterior samples in function space
Samuel L. Smith
Daniel Duckworth
Semon Rezchikov
Quoc V. Le
Jascha Narain Sohl-Dickstein
BDL
45
6
0
25 Jun 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
52
166
0
04 May 2018
Mirrored Langevin Dynamics
Ya-Ping Hsieh
Ali Kavis
Paul Rolland
Volkan Cevher
76
85
0
27 Feb 2018
Analysis of Langevin Monte Carlo via convex optimization
Alain Durmus
Szymon Majewski
B. Miasojedow
64
222
0
26 Feb 2018
Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo
Oren Mangoubi
Nisheeth K. Vishnoi
125
53
0
24 Feb 2018
Langevin Monte Carlo and JKO splitting
Espen Bernton
60
80
0
23 Feb 2018
Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem
Andre Wibisono
98
183
0
22 Feb 2018
Log-concave sampling: Metropolis-Hastings algorithms are fast
Raaz Dwivedi
Yuansi Chen
Martin J. Wainwright
Bin Yu
66
255
0
08 Jan 2018
Convergence Rate of Riemannian Hamiltonian Monte Carlo and Faster Polytope Volume Computation
Y. Lee
Santosh Vempala
63
113
0
17 Oct 2017
Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo
Rong Ge
Holden Lee
Andrej Risteski
73
53
0
07 Oct 2017
User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient
A. Dalalyan
Avetik G. Karagulyan
75
297
0
29 Sep 2017
Convergence of Langevin MCMC in KL-divergence
Xiang Cheng
Peter L. Bartlett
58
194
0
25 May 2017
On the convergence of Hamiltonian Monte Carlo
Alain Durmus
Eric Moulines
E. Saksman
70
70
0
29 Apr 2017
Further and stronger analogy between sampling and optimization: Langevin Monte Carlo and gradient descent
A. Dalalyan
BDL
45
175
0
16 Apr 2017
Measuring Sample Quality with Kernels
Jackson Gorham
Lester W. Mackey
132
223
0
06 Mar 2017
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis
Maxim Raginsky
Alexander Rakhlin
Matus Telgarsky
73
521
0
13 Feb 2017
High-dimensional Bayesian inference via the Unadjusted Langevin Algorithm
Alain Durmus
Eric Moulines
93
356
0
05 May 2016
Non-asymptotic convergence analysis for the Unadjusted Langevin Algorithm
Alain Durmus
Eric Moulines
69
415
0
17 Jul 2015
Theoretical guarantees for approximate sampling from smooth and log-concave densities
A. Dalalyan
83
516
0
23 Dec 2014
Geodesic Monte Carlo on Embedded Manifolds
Simon Byrne
Mark Girolami
103
152
0
25 Jan 2013
1