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Expectation Propagation in the large-data limit

Expectation Propagation in the large-data limit

27 March 2015
Guillaume P. Dehaene
Simon Barthelmé
ArXivPDFHTML

Papers citing "Expectation Propagation in the large-data limit"

7 / 7 papers shown
Title
Scalable expectation propagation for generalized linear models
Scalable expectation propagation for generalized linear models
Niccolò Anceschi
A. Fasano
Beatrice Franzolini
Giovanni Rebaudo
35
0
0
02 Jul 2024
Bayes-Newton Methods for Approximate Bayesian Inference with PSD
  Guarantees
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees
William J. Wilkinson
Simo Särkkä
Arno Solin
BDL
21
15
0
02 Nov 2021
Infinite-dimensional gradient-based descent for alpha-divergence
  minimisation
Infinite-dimensional gradient-based descent for alpha-divergence minimisation
Kamélia Daudel
Randal Douc
Franccois Portier
21
17
0
20 May 2020
The fff-Divergence Expectation Iteration Scheme
Kamélia Daudel
Randal Douc
Franccois Portier
François Roueff
19
1
0
26 Sep 2019
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
81
36
0
01 Nov 2016
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
21
137
0
10 Nov 2015
Stochastic Expectation Propagation
Stochastic Expectation Propagation
Yingzhen Li
Jose Miguel Hernandez-Lobato
Richard Turner
21
114
0
12 Jun 2015
1