New Tricks for Estimating Gradients of Expectations

31 January 2019

Papers citing "New Tricks for Estimating Gradients of Expectations"

7 / 7 papers shown

Title
Variance reduction properties of the reparameterization trick Ming Xu M. Quiroz Robert Kohn Scott A. Sisson AAML 66 67 0 27 Sep 2018
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 146 270 0 13 Jun 2018
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 58 84 0 22 May 2017
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference Geoffrey Roeder Yuhuai Wu David Duvenaud BDL 104 201 0 27 Mar 2017
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 183 2,530 0 02 Nov 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 258 4,787 0 04 Jan 2016