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Noisy Natural Gradient as Variational Inference
v1v2 (latest)

Noisy Natural Gradient as Variational Inference

6 December 2017
Guodong Zhang
Shengyang Sun
David Duvenaud
Roger C. Grosse
    ODL
ArXiv (abs)PDFHTML

Papers citing "Noisy Natural Gradient as Variational Inference"

4 / 104 papers shown
Title
Stochastic natural gradient descent draws posterior samples in function
  space
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
85
6
0
25 Jun 2018
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Mohammad Emtiyaz Khan
Didrik Nielsen
Voot Tangkaratt
Wu Lin
Y. Gal
Akash Srivastava
ODL
194
271
0
13 Jun 2018
q-Neurons: Neuron Activations based on Stochastic Jackson's Derivative
  Operators
q-Neurons: Neuron Activations based on Stochastic Jackson's Derivative Operators
Frank Nielsen
Ke Sun
15
1
0
01 Jun 2018
Understanding Short-Horizon Bias in Stochastic Meta-Optimization
Understanding Short-Horizon Bias in Stochastic Meta-Optimization
Yuhuai Wu
Mengye Ren
Renjie Liao
Roger C. Grosse
109
138
0
06 Mar 2018
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