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A Generalized Mean Field Algorithm for Variational Inference in
  Exponential Families

A Generalized Mean Field Algorithm for Variational Inference in Exponential Families

19 October 2012
Eric P. Xing
Michael I. Jordan
Stuart J. Russell
ArXivPDFHTML

Papers citing "A Generalized Mean Field Algorithm for Variational Inference in Exponential Families"

12 / 12 papers shown
Title
The computational asymptotics of Gaussian variational inference and the
  Laplace approximation
The computational asymptotics of Gaussian variational inference and the Laplace approximation
Zuheng Xu
Trevor Campbell
19
7
0
13 Apr 2021
Dialogue State Induction Using Neural Latent Variable Models
Dialogue State Induction Using Neural Latent Variable Models
Qingkai Min
Libo Qin
Zhiyang Teng
Xiao Liu
Yue Zhang
14
23
0
13 Aug 2020
Copula Variational Bayes inference via information geometry
Copula Variational Bayes inference via information geometry
Viet-Hung Tran
20
6
0
29 Mar 2018
Graph Partition Neural Networks for Semi-Supervised Classification
Graph Partition Neural Networks for Semi-Supervised Classification
Renjie Liao
Marc Brockschmidt
Daniel Tarlow
Alexander L. Gaunt
R. Urtasun
R. Zemel
GNN
22
76
0
16 Mar 2018
Reified Context Models
Reified Context Models
Jacob Steinhardt
Percy Liang
18
4
0
24 Feb 2015
Variational Inference in Nonconjugate Models
Variational Inference in Nonconjugate Models
Chong-Jun Wang
David M. Blei
BDL
49
227
0
19 Sep 2012
Stochastic Variational Inference
Stochastic Variational Inference
Matt Hoffman
David M. Blei
Chong-Jun Wang
John Paisley
BDL
53
2,599
0
29 Jun 2012
A Variational Approach for Approximating Bayesian Networks by Edge
  Deletion
A Variational Approach for Approximating Bayesian Networks by Edge Deletion
Arthur Choi
Adnan Darwiche
48
31
0
27 Jun 2012
Co-evolution of Selection and Influence in Social Networks
Co-evolution of Selection and Influence in Social Networks
Yoon-Sik Cho
Greg Ver Steeg
Aram Galstyan
70
29
0
14 Jun 2011
Statistical and Computational Tradeoffs in Stochastic Composite
  Likelihood
Statistical and Computational Tradeoffs in Stochastic Composite Likelihood
Joshua V. Dillon
Guy Lebanon
81
17
0
02 Mar 2010
A state-space mixed membership blockmodel for dynamic network tomography
A state-space mixed membership blockmodel for dynamic network tomography
Eric P. Xing
Wenjie Fu
Le Song
99
239
0
31 Dec 2008
Mixed membership stochastic blockmodels
Mixed membership stochastic blockmodels
E. Airoldi
David M. Blei
S. Fienberg
Eric P. Xing
69
2,103
0
30 May 2007
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