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Further and stronger analogy between sampling and optimization: Langevin
  Monte Carlo and gradient descent
v1v2 (latest)

Further and stronger analogy between sampling and optimization: Langevin Monte Carlo and gradient descent

16 April 2017
A. Dalalyan
    BDL
ArXiv (abs)PDFHTML

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
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
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
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
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
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
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
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
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
331
2,169
0
01 Mar 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
Statistical Inference for the Population Landscape via Moment Adjusted
  Stochastic Gradients
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
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
User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient
A. Dalalyan
Avetik G. Karagulyan
117
297
0
29 Sep 2017
Unbiased Hamiltonian Monte Carlo with couplings
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
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
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
High-dimensional Bayesian inference via the Unadjusted Langevin Algorithm
Alain Durmus
Eric Moulines
173
358
0
05 May 2016
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