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Operator Variational Inference
v1v2v3 (latest)

Operator Variational Inference

27 October 2016
Rajesh Ranganath
Jaan Altosaar
Dustin Tran
David M. Blei
ArXiv (abs)PDFHTML

Papers citing "Operator Variational Inference"

22 / 72 papers shown
Title
Adversarial Variational Bayes Methods for Tweedie Compound Poisson Mixed
  Models
Adversarial Variational Bayes Methods for Tweedie Compound Poisson Mixed Models
Yaodong Yang
Rui Luo
Yuanyuan Liu
26
0
0
16 Jun 2017
PixelGAN Autoencoders
PixelGAN Autoencoders
Alireza Makhzani
Brendan J. Frey
GAN
79
100
0
02 Jun 2017
Kernel Implicit Variational Inference
Kernel Implicit Variational Inference
Jiaxin Shi
Shengyang Sun
Jun Zhu
BDL
93
3
0
29 May 2017
Filtering Variational Objectives
Filtering Variational Objectives
Chris J. Maddison
Dieterich Lawson
George Tucker
N. Heess
Mohammad Norouzi
A. Mnih
Arnaud Doucet
Yee Whye Teh
FedML
260
210
0
25 May 2017
Causal Effect Inference with Deep Latent-Variable Models
Causal Effect Inference with Deep Latent-Variable Models
Christos Louizos
Uri Shalit
Joris Mooij
David Sontag
R. Zemel
Max Welling
CMLBDL
242
750
0
24 May 2017
Gradient Estimators for Implicit Models
Gradient Estimators for Implicit Models
Yingzhen Li
Richard Turner
157
108
0
19 May 2017
Frequentist Consistency of Variational Bayes
Frequentist Consistency of Variational Bayes
Yixin Wang
David M. Blei
BDL
153
208
0
09 May 2017
Importance Sampled Stochastic Optimization for Variational Inference
Importance Sampled Stochastic Optimization for Variational Inference
J. Sakaya
Arto Klami
BDL
48
7
0
19 Apr 2017
Learning Approximately Objective Priors
Learning Approximately Objective Priors
Eric T. Nalisnick
Padhraic Smyth
40
11
0
04 Apr 2017
Measuring Sample Quality with Kernels
Measuring Sample Quality with Kernels
Jackson Gorham
Lester W. Mackey
183
224
0
06 Mar 2017
Hierarchical Implicit Models and Likelihood-Free Variational Inference
Hierarchical Implicit Models and Likelihood-Free Variational Inference
Dustin Tran
Rajesh Ranganath
David M. Blei
VLMGAN
115
99
0
28 Feb 2017
Approximate Inference with Amortised MCMC
Approximate Inference with Amortised MCMC
Yingzhen Li
Richard Turner
Qiang Liu
BDL
96
62
0
27 Feb 2017
Variational Inference using Implicit Distributions
Variational Inference using Implicit Distributions
Ferenc Huszár
DRLGAN
175
135
0
27 Feb 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and
  Generative Adversarial Networks
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks
L. Mescheder
Sebastian Nowozin
Andreas Geiger
GANBDL
175
530
0
17 Jan 2017
Deep Probabilistic Programming
Deep Probabilistic Programming
Dustin Tran
Matthew D. Hoffman
Rif A. Saurous
E. Brevdo
Kevin Patrick Murphy
David M. Blei
BDL
142
193
0
13 Jan 2017
Adversarial Message Passing For Graphical Models
Adversarial Message Passing For Graphical Models
Theofanis Karaletsos
GAN
85
29
0
15 Dec 2016
Two Methods For Wild Variational Inference
Two Methods For Wild Variational Inference
Qiang Liu
Yihao Feng
BDL
138
19
0
30 Nov 2016
Measuring Sample Quality with Diffusions
Measuring Sample Quality with Diffusions
Jackson Gorham
Andrew B. Duncan
Sandra Jeanne Vollmer
Lester W. Mackey
151
117
0
21 Nov 2016
Variational Boosting: Iteratively Refining Posterior Approximations
Variational Boosting: Iteratively Refining Posterior Approximations
Andrew C. Miller
N. Foti
Ryan P. Adams
82
124
0
20 Nov 2016
Learning to Draw Samples: With Application to Amortized MLE for
  Generative Adversarial Learning
Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning
Dilin Wang
Qiang Liu
GANBDL
151
119
0
06 Nov 2016
Variational Inference via $χ$-Upper Bound Minimization
Variational Inference via χχχ-Upper Bound Minimization
Adji Bousso Dieng
Dustin Tran
Rajesh Ranganath
John Paisley
David M. Blei
BDL
144
35
0
01 Nov 2016
Truncated Variational Expectation Maximization
Truncated Variational Expectation Maximization
J. Lucke
57
12
0
10 Oct 2016
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