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Backpropagation through the Void: Optimizing control variates for
  black-box gradient estimation

Backpropagation through the Void: Optimizing control variates for black-box gradient estimation

31 October 2017
Will Grathwohl
Dami Choi
Yuhuai Wu
Geoffrey Roeder
David Duvenaud
ArXivPDFHTML

Papers citing "Backpropagation through the Void: Optimizing control variates for black-box gradient estimation"

4 / 204 papers shown
Title
Action-depedent Control Variates for Policy Optimization via Stein's
  Identity
Action-depedent Control Variates for Policy Optimization via Stein's Identity
Hao Liu
Yihao Feng
Yi Mao
Dengyong Zhou
Jian-wei Peng
Qiang Liu
24
4
0
30 Oct 2017
Adversarial Variational Optimization of Non-Differentiable Simulators
Adversarial Variational Optimization of Non-Differentiable Simulators
Gilles Louppe
Joeri Hermans
Kyle Cranmer
GAN
41
66
0
22 Jul 2017
Automatic differentiation in machine learning: a survey
Automatic differentiation in machine learning: a survey
A. G. Baydin
Barak A. Pearlmutter
Alexey Radul
J. Siskind
PINN
AI4CE
ODL
66
2,750
0
20 Feb 2015
Variational Optimization
Variational Optimization
J. Staines
David Barber
DRL
65
53
0
18 Dec 2012
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