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Stochastic Expectation Propagation
v1v2 (latest)

Stochastic Expectation Propagation

12 June 2015
Yingzhen Li
Jose Miguel Hernandez-Lobato
Richard Turner
ArXiv (abs)PDFHTML

Papers citing "Stochastic Expectation Propagation"

9 / 59 papers shown
Title
Rényi Divergence Variational Inference
Rényi Divergence Variational Inference
Yingzhen Li
Richard Turner
BDL
155
263
0
06 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
183
70
0
31 Dec 2015
Training Deep Gaussian Processes using Stochastic Expectation
  Propagation and Probabilistic Backpropagation
Training Deep Gaussian Processes using Stochastic Expectation Propagation and Probabilistic Backpropagation
T. Bui
José Miguel Hernández-Lobato
Yingzhen Li
Daniel Hernández-Lobato
Richard Turner
BDLGP
69
8
0
11 Nov 2015
Stochastic Expectation Propagation for Large Scale Gaussian Process
  Classification
Stochastic Expectation Propagation for Large Scale Gaussian Process Classification
Daniel Hernández-Lobato
José Miguel Hernández-Lobato
Yingzhen Li
T. Bui
Richard Turner
BDL
36
0
0
10 Nov 2015
Black-box $α$-divergence Minimization
Black-box ααα-divergence Minimization
José Miguel Hernández-Lobato
Yingzhen Li
Mark Rowland
Daniel Hernández-Lobato
T. Bui
Richard Turner
136
139
0
10 Nov 2015
Bayesian inference for spatio-temporal spike-and-slab priors
Bayesian inference for spatio-temporal spike-and-slab priors
Michael Riis Andersen
Aki Vehtari
Ole Winther
Lars Kai Hansen
117
33
0
15 Sep 2015
Scalable Gaussian Process Classification via Expectation Propagation
Scalable Gaussian Process Classification via Expectation Propagation
Daniel Hernández-Lobato
José Miguel Hernández-Lobato
87
52
0
16 Jul 2015
Expectation Propagation in the large-data limit
Expectation Propagation in the large-data limit
Guillaume P. Dehaene
Simon Barthelmé
95
44
0
27 Mar 2015
Expectation propagation as a way of life: A framework for Bayesian
  inference on partitioned data
Expectation propagation as a way of life: A framework for Bayesian inference on partitioned data
Aki Vehtari
Andrew Gelman
Tuomas Sivula
Pasi Jylänki
Dustin Tran
Swupnil Sahai
Paul Blomstedt
John P. Cunningham
D. Schiminovich
Christian P. Robert
137
25
0
16 Dec 2014
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