Approximation Based Variance Reduction for Reparameterization Gradients

29 July 2020

Papers citing "Approximation Based Variance Reduction for Reparameterization Gradients"

11 / 11 papers shown

Title
Amortized variance reduction for doubly stochastic objectives Ayman Boustati Sattar Vakili J. Hensman S. T. John 57 5 0 09 Mar 2020
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 155 690 0 15 Nov 2017
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation Will Grathwohl Dami Choi Yuhuai Wu Geoffrey Roeder David Duvenaud 92 300 0 31 Oct 2017
Reducing Reparameterization Gradient Variance Andrew C. Miller N. Foti Alexander DÁmour Ryan P. Adams 55 84 0 22 May 2017
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference Geoffrey Roeder Yuhuai Wu David Duvenaud BDL 82 201 0 27 Mar 2017
Improving Variational Auto-Encoders using Householder Flow Jakub M. Tomczak Max Welling BDL DRL 65 175 0 29 Nov 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 279 5,360 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 155 2,529 0 02 Nov 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 232 4,778 0 04 Jan 2016
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 108 1,165 0 31 Dec 2013
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 414 16,944 0 20 Dec 2013