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Adaptively Preconditioned Stochastic Gradient Langevin Dynamics
v1v2 (latest)

Adaptively Preconditioned Stochastic Gradient Langevin Dynamics

10 June 2019
C. A. Bhardwaj
    ODL
ArXiv (abs)PDFHTML

Papers citing "Adaptively Preconditioned Stochastic Gradient Langevin Dynamics"

15 / 15 papers shown
Title
On the Convergence of Adam and Beyond
On the Convergence of Adam and Beyond
Sashank J. Reddi
Satyen Kale
Surinder Kumar
106
2,505
0
19 Apr 2019
Adaptive Gradient Methods with Dynamic Bound of Learning Rate
Adaptive Gradient Methods with Dynamic Bound of Learning Rate
Liangchen Luo
Yuanhao Xiong
Yan Liu
Xu Sun
ODL
80
602
0
26 Feb 2019
Scalable Natural Gradient Langevin Dynamics in Practice
Scalable Natural Gradient Langevin Dynamics in Practice
Henri Palacci
H. Hess
BDL
22
8
0
07 Jun 2018
Natural Langevin Dynamics for Neural Networks
Natural Langevin Dynamics for Neural Networks
Gaétan Marceau-Caron
Yann Ollivier
BDL
68
30
0
04 Dec 2017
Natasha 2: Faster Non-Convex Optimization Than SGD
Natasha 2: Faster Non-Convex Optimization Than SGD
Zeyuan Allen-Zhu
ODL
79
246
0
29 Aug 2017
The Marginal Value of Adaptive Gradient Methods in Machine Learning
The Marginal Value of Adaptive Gradient Methods in Machine Learning
Ashia Wilson
Rebecca Roelofs
Mitchell Stern
Nathan Srebro
Benjamin Recht
ODL
71
1,032
0
23 May 2017
Stochastic Gradient Descent as Approximate Bayesian Inference
Stochastic Gradient Descent as Approximate Bayesian Inference
Stephan Mandt
Matthew D. Hoffman
David M. Blei
BDL
57
599
0
13 Apr 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
786
36,881
0
25 Aug 2016
Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural
  Networks
Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks
Chunyuan Li
Changyou Chen
David Carlson
Lawrence Carin
ODLBDL
91
327
0
23 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
Weight Uncertainty in Neural Networks
Weight Uncertainty in Neural Networks
Charles Blundell
Julien Cornebise
Koray Kavukcuoglu
Daan Wierstra
UQCVBDL
192
1,892
0
20 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
In Search of the Real Inductive Bias: On the Role of Implicit
  Regularization in Deep Learning
In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
AI4CE
99
662
0
20 Dec 2014
Stochastic Gradient Hamiltonian Monte Carlo
Stochastic Gradient Hamiltonian Monte Carlo
Tianqi Chen
E. Fox
Carlos Guestrin
BDL
109
913
0
17 Feb 2014
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring
S. Ahn
Anoop Korattikara Balan
Max Welling
77
306
0
27 Jun 2012
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