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1704.04752
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Further and stronger analogy between sampling and optimization: Langevin Monte Carlo and gradient descent
16 April 2017
A. Dalalyan
BDL
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Papers citing
"Further and stronger analogy between sampling and optimization: Langevin Monte Carlo and gradient descent"
20 / 70 papers shown
Title
Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization
T. H. Nguyen
Umut Simsekli
G. Richard
80
28
0
22 Jan 2019
On stochastic gradient Langevin dynamics with dependent data streams in the logconcave case
M. Barkhagen
N. H. Chau
'. Moulines
Miklós Rásonyi
S. Sabanis
Ying Zhang
92
38
0
06 Dec 2018
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
The promises and pitfalls of Stochastic Gradient Langevin Dynamics
N. Brosse
Alain Durmus
Eric Moulines
88
78
0
25 Nov 2018
Global Non-convex Optimization with Discretized Diffusions
Murat A. Erdogdu
Lester W. Mackey
Ohad Shamir
103
105
0
29 Oct 2018
On sampling from a log-concave density using kinetic Langevin diffusions
A. Dalalyan
L. Riou-Durand
120
158
0
24 Jul 2018
Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC
Tolga Birdal
Umut Simsekli
M. Eken
Slobodan Ilic
92
38
0
31 May 2018
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
331
2,172
0
01 Mar 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
Statistical Inference for the Population Landscape via Moment Adjusted Stochastic Gradients
Tengyuan Liang
Weijie Su
72
21
0
20 Dec 2017
Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo
Rong Ge
Holden Lee
Andrej Risteski
96
53
0
07 Oct 2017
User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient
A. Dalalyan
Avetik G. Karagulyan
120
297
0
29 Sep 2017
Unbiased Hamiltonian Monte Carlo with couplings
J. Heng
Pierre E. Jacob
100
64
0
01 Sep 2017
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization
Pan Xu
Jinghui Chen
Difan Zou
Quanquan Gu
90
205
0
20 Jul 2017
Informed Sub-Sampling MCMC: Approximate Bayesian Inference for Large Datasets
Florian Maire
Nial Friel
Pierre Alquier
82
14
0
26 Jun 2017
High-dimensional Bayesian inference via the Unadjusted Langevin Algorithm
Alain Durmus
Eric Moulines
173
358
0
05 May 2016
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