REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models

21 March 2017

Papers citing "REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models"

9 / 59 papers shown

Title
Neural Control Variates for Variance Reduction Ruosi Wan Mingjun Zhong Haoyi Xiong Zhanxing Zhu BDL DRL 9 18 0 01 Jun 2018
Fast Policy Learning through Imitation and Reinforcement Ching-An Cheng Xinyan Yan Nolan Wagener Byron Boots 16 83 0 26 May 2018
Variational Composite Autoencoders Jiangchao Yao Ivor Tsang Ya-Qin Zhang BDL DRL 16 0 0 12 Apr 2018
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations Arash Vahdat W. Macready Zhengbing Bian Amir Khoshaman Evgeny Andriyash 37 75 0 14 Feb 2018
MaskGAN: Better Text Generation via Filling in the______ W. Fedus Ian Goodfellow Andrew M. Dai 24 468 0 23 Jan 2018
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 36 300 0 31 Oct 2017
Boundary-Seeking Generative Adversarial Networks R. Devon Hjelm Athul Paul Jacob Tong Che Adam Trischler Kyunghyun Cho Yoshua Bengio GAN 20 170 0 27 Feb 2017
Automatic differentiation in machine learning: a survey A. G. Baydin Barak A. Pearlmutter Alexey Radul J. Siskind PINN AI4CE ODL 34 2,746 0 20 Feb 2015