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Stochastic Variational Inference

Stochastic Variational Inference

29 June 2012
Matt Hoffman
David M. Blei
Chong-Jun Wang
John Paisley
    BDL
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Papers citing "Stochastic Variational Inference"

15 / 1,065 papers shown
Title
Streaming Variational Bayes
Streaming Variational Bayes
Tamara Broderick
N. Boyd
Andre Wibisono
Ashia Wilson
Michael I. Jordan
43
342
0
25 Jul 2013
Dynamic Infinite Mixed-Membership Stochastic Blockmodel
Dynamic Infinite Mixed-Membership Stochastic Blockmodel
Xuhui Fan
LongBing Cao
R. Xu
50
27
0
13 Jun 2013
Variational inference for sparse spectrum Gaussian process regression
Variational inference for sparse spectrum Gaussian process regression
Linda S. L. Tan
V. M. Ong
David J. Nott
Ajay Jasra
62
15
0
09 Jun 2013
Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process
  Mixture
Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture
Trevor Campbell
Miao Liu
Brian Kulis
Jonathan P. How
Lawrence Carin
28
61
0
28 May 2013
Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet
  Allocation
Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation
James R. Foulds
Levi Boyles
Christopher DuBois
Padhraic Smyth
Max Welling
BDL
26
143
0
10 May 2013
A Tensor Approach to Learning Mixed Membership Community Models
A Tensor Approach to Learning Mixed Membership Community Models
Anima Anandkumar
Rong Ge
Daniel J. Hsu
Sham Kakade
53
155
0
12 Feb 2013
A Nested HDP for Hierarchical Topic Models
A Nested HDP for Hierarchical Topic Models
John Paisley
Chong-Jun Wang
David M. Blei
Michael I. Jordan
26
9
0
16 Jan 2013
Automated Variational Inference in Probabilistic Programming
Automated Variational Inference in Probabilistic Programming
David Wingate
T. Weber
BDL
TPM
32
136
0
07 Jan 2013
Deep Gaussian Processes
Deep Gaussian Processes
Andreas C. Damianou
Neil D. Lawrence
GP
BDL
26
1,170
0
02 Nov 2012
Nested Hierarchical Dirichlet Processes
Nested Hierarchical Dirichlet Processes
John Paisley
Chong-Jun Wang
David M. Blei
Michael I. Jordan
BDL
31
233
0
25 Oct 2012
A Bayesian Nonparametric Approach to Image Super-resolution
A Bayesian Nonparametric Approach to Image Super-resolution
Gungor Polatkan
Mingyuan Zhou
Lawrence Carin
David M. Blei
Ingrid Daubechies
BDL
SupR
37
106
0
22 Sep 2012
Fixed-Form Variational Posterior Approximation through Stochastic Linear
  Regression
Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression
Tim Salimans
David A. Knowles
59
250
0
28 Jun 2012
Fast Variational Inference in the Conjugate Exponential Family
Fast Variational Inference in the Conjugate Exponential Family
J. Hensman
M. Rattray
Neil D. Lawrence
BDL
14
133
0
22 Jun 2012
Max-Margin Nonparametric Latent Feature Models for Link Prediction
Max-Margin Nonparametric Latent Feature Models for Link Prediction
Jun Zhu
57
89
0
18 Jun 2012
Variational Inference for Generalized Linear Mixed Models Using
  Partially Noncentered Parametrizations
Variational Inference for Generalized Linear Mixed Models Using Partially Noncentered Parametrizations
Linda S. L. Tan
David J. Nott
45
49
0
17 May 2012
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