Reparameterization Gradients through Acceptance-Rejection Sampling
Algorithms

Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms

18 October 2016

Francisco J. R. Ruiz

Scott W. Linderman

Papers citing "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms"

11 / 61 papers shown

Title
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling Hao Zhang Bo Chen D. Guo Mingyuan Zhou BDL 19 115 0 04 Mar 2018
Quadrature Compound: An approximating family of distributions Joshua V. Dillon I. Langmore TPM 16 2 0 09 Jan 2018
TensorFlow Distributions Joshua V. Dillon I. Langmore Dustin Tran E. Brevdo Srinivas Vasudevan David A. Moore Brian Patton Alexander A. Alemi Matt Hoffman Rif A. Saurous GP 46 346 0 28 Nov 2017
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 38 684 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 56 300 0 31 Oct 2017
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference Scott W. Linderman Gonzalo E. Mena H. Cooper Liam Paninski John P. Cunningham 26 50 0 26 Oct 2017
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training Murat Kocaoglu Christopher Snyder A. Dimakis S. Vishwanath GAN OOD 27 250 0 06 Sep 2017
Variational Sequential Monte Carlo C. A. Naesseth Scott W. Linderman Rajesh Ranganath David M. Blei BDL 30 214 0 31 May 2017
Importance Sampled Stochastic Optimization for Variational Inference J. Sakaya Arto Klami BDL 22 7 0 19 Apr 2017
Adversarial Message Passing For Graphical Models Theofanis Karaletsos GAN 27 29 0 15 Dec 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 24 2,508 0 02 Nov 2016