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Metric-Free Natural Gradient for Joint-Training of Boltzmann Machines
v1v2 (latest)

Metric-Free Natural Gradient for Joint-Training of Boltzmann Machines

International Conference on Learning Representations (ICLR), 2013
16 January 2013
Guillaume Desjardins
Razvan Pascanu
Aaron Courville
Yoshua Bengio
ArXiv (abs)PDFHTML

Papers citing "Metric-Free Natural Gradient for Joint-Training of Boltzmann Machines"

9 / 9 papers shown
Natural Reweighted Wake-Sleep
Natural Reweighted Wake-Sleep
Csongor-Huba Várady
Riccardo Volpi
Luigi Malagò
Nihat Ay
BDL
486
0
0
15 Aug 2020
Efficient Learning of Restricted Boltzmann Machines Using Covariance
  Estimates
Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates
V. Upadhya
P. Sastry
308
2
0
25 Oct 2018
True Asymptotic Natural Gradient Optimization
True Asymptotic Natural Gradient Optimization
Yann Ollivier
ODL
165
14
0
22 Dec 2017
Learning RBM with a DC programming Approach
Learning RBM with a DC programming Approach
V. Upadhya
Upadhya Sastry
111
6
0
21 Sep 2017
Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
939
6,009
0
23 Nov 2015
Variational Optimization of Annealing Schedules
Variational Optimization of Annealing Schedules
Taichi Kiwaki
209
5
0
18 Feb 2015
How to Center Binary Deep Boltzmann Machines
How to Center Binary Deep Boltzmann Machines
Jan Melchior
Asja Fischer
Laurenz Wiskott
OOD
166
3
0
06 Nov 2013
Understanding Boltzmann Machine and Deep Learning via A Confident
  Information First Principle
Understanding Boltzmann Machine and Deep Learning via A Confident Information First Principle
Xiaozhao Zhao
Yuexian Hou
Qian Yu
D. Song
Wenjie Li
416
1
0
16 Feb 2013
Revisiting Natural Gradient for Deep Networks
Revisiting Natural Gradient for Deep NetworksInternational Conference on Learning Representations (ICLR), 2013
Razvan Pascanu
Yoshua Bengio
ODL
1.6K
424
0
16 Jan 2013
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