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Neural Variational Inference and Learning in Belief Networks

Neural Variational Inference and Learning in Belief Networks

31 January 2014
A. Mnih
Karol Gregor
    BDL
ArXivPDFHTML

Papers citing "Neural Variational Inference and Learning in Belief Networks"

14 / 14 papers shown
Title
Learning Hard Alignments with Variational Inference
Learning Hard Alignments with Variational Inference
Dieterich Lawson
Chung-Cheng Chiu
George Tucker
Colin Raffel
Kevin Swersky
Navdeep Jaitly
DRL
35
29
0
16 May 2017
Learning Multimodal Transition Dynamics for Model-Based Reinforcement
  Learning
Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning
Thomas M. Moerland
Joost Broekens
Catholijn M. Jonker
OffRL
67
31
0
01 May 2017
Improved Variational Autoencoders for Text Modeling using Dilated
  Convolutions
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions
Zichao Yang
Zhiting Hu
Ruslan Salakhutdinov
Taylor Berg-Kirkpatrick
77
389
0
27 Feb 2017
Deep Amortized Inference for Probabilistic Programs
Deep Amortized Inference for Probabilistic Programs
Daniel E. Ritchie
Paul Horsfall
Noah D. Goodman
TPM
65
82
0
18 Oct 2016
Structured Inference Networks for Nonlinear State Space Models
Structured Inference Networks for Nonlinear State Space Models
Rahul G. Krishnan
Uri Shalit
David Sontag
BDL
75
454
0
30 Sep 2016
A Theory of Generative ConvNet
A Theory of Generative ConvNet
Jianwen Xie
Yang Lu
Song-Chun Zhu
Ying Nian Wu
DiffM
GAN
76
320
0
10 Feb 2016
Distributed Bayesian Learning with Stochastic Natural-gradient
  Expectation Propagation and the Posterior Server
Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server
Leonard Hasenclever
Stefan Webb
Thibaut Lienart
Sebastian J. Vollmer
Balaji Lakshminarayanan
Charles Blundell
Yee Whye Teh
BDL
83
70
0
31 Dec 2015
Stochastic Backpropagation and Approximate Inference in Deep Generative
  Models
Stochastic Backpropagation and Approximate Inference in Deep Generative Models
Danilo Jimenez Rezende
S. Mohamed
Daan Wierstra
BDL
58
139
0
16 Jan 2014
Black Box Variational Inference
Black Box Variational Inference
Rajesh Ranganath
S. Gerrish
David M. Blei
DRL
BDL
72
1,157
0
31 Dec 2013
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
367
16,962
0
20 Dec 2013
Deep AutoRegressive Networks
Deep AutoRegressive Networks
Karol Gregor
Ivo Danihelka
A. Mnih
Charles Blundell
Daan Wierstra
AI4TS
BDL
66
281
0
31 Oct 2013
The Optimal Reward Baseline for Gradient-Based Reinforcement Learning
The Optimal Reward Baseline for Gradient-Based Reinforcement Learning
Lex Weaver
Nigel Tao
99
246
0
10 Jan 2013
Variational Bayesian Inference with Stochastic Search
Variational Bayesian Inference with Stochastic Search
John Paisley
David M. Blei
Michael I. Jordan
BDL
90
496
0
27 Jun 2012
Fast Inference in Sparse Coding Algorithms with Applications to Object
  Recognition
Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition
Koray Kavukcuoglu
MarcÁurelio Ranzato
Yann LeCun
86
248
0
18 Oct 2010
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