Variational inference for Monte Carlo objectives

22 February 2016

A. Mnih

Danilo Jimenez Rezende

DRL

BDL

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Papers citing "Variational inference for Monte Carlo objectives"

33 / 183 papers shown

Title
Fast Decoding in Sequence Models using Discrete Latent Variables Łukasz Kaiser Aurko Roy Ashish Vaswani Niki Parmar Samy Bengio Jakob Uszkoreit Noam M. Shazeer 11 230 0 09 Mar 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 10 1,327 0 16 Feb 2018
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations Arash Vahdat W. Macready Zhengbing Bian Amir Khoshaman Evgeny Andriyash 37 75 0 14 Feb 2018
Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation Dane S. Corneil W. Gerstner Johanni Brea OffRL 8 62 0 12 Feb 2018
Using probabilistic programs as proposals Marco F. Cusumano-Towner Vikash K. Mansinghka BDL 16 11 0 11 Jan 2018
Truncated Variational Sampling for "Black Box" Optimization of Generative Models Jörg Lücke Zhenwen Dai Georgios Exarchakis DRL 14 7 0 21 Dec 2017
Learning Sparse Neural Networks through $L_0$ Regularization Christos Louizos Max Welling Diederik P. Kingma 31 1,128 0 04 Dec 2017
Asymmetric Variational Autoencoders Guoqing Zheng Yiming Yang J. Carbonell BDL 17 2 0 20 Nov 2017
Neural Variational Inference and Learning in Undirected Graphical Models Volodymyr Kuleshov Stefano Ermon BDL 21 34 0 07 Nov 2017
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders Artur Speiser Jinyao Yan Evan Archer Lars Buesing Srinivas C. Turaga Jakob H. Macke BDL 19 47 0 06 Nov 2017
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 23 4,811 0 02 Nov 2017
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation Will Grathwohl Dami Choi Yuhuai Wu Geoffrey Roeder D. Duvenaud 36 300 0 31 Oct 2017
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization Hyeonwoo Noh Tackgeun You Jonghwan Mun Bohyung Han NoLa 23 197 0 14 Oct 2017
Variational Memory Addressing in Generative Models J. Bornschein A. Mnih Daniel Zoran Danilo Jimenez Rezende BDL 28 63 0 21 Sep 2017
ZhuSuan: A Library for Bayesian Deep Learning Jiaxin Shi Jianfei Chen Jun Zhu Shengyang Sun Yucen Luo Yihong Gu Yuhao Zhou UQCV BDL 35 43 0 18 Sep 2017
An online sequence-to-sequence model for noisy speech recognition Chung-Cheng Chiu Dieterich Lawson Yuping Luo George Tucker Kevin Swersky Ilya Sutskever Navdeep Jaitly 11 7 0 16 Jun 2017
Filtering Variational Objectives Chris J. Maddison Dieterich Lawson George Tucker N. Heess Mohammad Norouzi A. Mnih Arnaud Doucet Yee Whye Teh FedML 22 210 0 25 May 2017
Proximity Variational Inference Jaan Altosaar Rajesh Ranganath David M. Blei BDL 6 21 0 24 May 2017
Stochastic Sequential Neural Networks with Structured Inference Hao Liu Haoli Bai Lirong He Zenglin Xu BDL 15 3 0 24 May 2017
Reducing Reparameterization Gradient Variance Andrew C. Miller N. Foti Alexander DÁmour Ryan P. Adams 22 84 0 22 May 2017
Learning Hard Alignments with Variational Inference Dieterich Lawson Chung-Cheng Chiu George Tucker Colin Raffel Kevin Swersky Navdeep Jaitly DRL 15 29 0 16 May 2017
Discrete Sequential Prediction of Continuous Actions for Deep RL Luke Metz Julian Ibarz Navdeep Jaitly James Davidson BDL OffRL 20 116 0 14 May 2017
VAE Learning via Stein Variational Gradient Descent Yunchen Pu Zhe Gan Ricardo Henao Chunyuan Li Shaobo Han Lawrence Carin DRL 18 6 0 18 Apr 2017
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models George Tucker A. Mnih Chris J. Maddison John Lawson Jascha Narain Sohl-Dickstein BDL 19 282 0 21 Mar 2017
Particle Value Functions Chris J. Maddison Dieterich Lawson George Tucker N. Heess Arnaud Doucet A. Mnih Yee Whye Teh 12 15 0 16 Mar 2017
Boundary-Seeking Generative Adversarial Networks R. Devon Hjelm Athul Paul Jacob Tong Che Adam Trischler Kyunghyun Cho Yoshua Bengio GAN 18 170 0 27 Feb 2017
Adaptive Feature Abstraction for Translating Video to Text Yunchen Pu Martin Renqiang Min Zhe Gan Lawrence Carin 39 14 0 23 Nov 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 84 5,283 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 18 2,504 0 02 Nov 2016
Deep Amortized Inference for Probabilistic Programs Daniel E. Ritchie Paul Horsfall Noah D. Goodman TPM 13 81 0 18 Oct 2016
Discrete Variational Autoencoders J. Rolfe BDL DRL 32 254 0 07 Sep 2016
Unsupervised Learning of 3D Structure from Images Danilo Jimenez Rezende S. M. Ali Eslami S. Mohamed Peter W. Battaglia Max Jaderberg N. Heess 3DV SSL DRL 17 395 0 03 Jul 2016
Patterns of Scalable Bayesian Inference E. Angelino Matthew J. Johnson Ryan P. Adams 22 87 0 16 Feb 2016