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An Empirical Study of Stochastic Variational Algorithms for the Beta
  Bernoulli Process

An Empirical Study of Stochastic Variational Algorithms for the Beta Bernoulli Process

26 June 2015
Amar Shah
David A. Knowles
Zoubin Ghahramani
    BDL
ArXiv (abs)PDFHTML

Papers citing "An Empirical Study of Stochastic Variational Algorithms for the Beta Bernoulli Process"

13 / 13 papers shown
Title
Beta Process Non-negative Matrix Factorization with Stochastic
  Structured Mean-Field Variational Inference
Beta Process Non-negative Matrix Factorization with Stochastic Structured Mean-Field Variational Inference
Dawen Liang
Matthew D. Hoffman
29
11
0
07 Nov 2014
Structured Stochastic Variational Inference
Structured Stochastic Variational Inference
Matthew D. Hoffman
David M. Blei
BDL
89
87
0
16 Apr 2014
Black Box Variational Inference
Black Box Variational Inference
Rajesh Ranganath
S. Gerrish
David M. Blei
DRLBDL
150
1,167
0
31 Dec 2013
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
455
16,923
0
20 Dec 2013
Scaling the Indian Buffet Process via Submodular Maximization
Scaling the Indian Buffet Process via Submodular Maximization
Colorado Reed
Zoubin Ghahramani
71
32
0
11 Apr 2013
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
BDLSupR
68
108
0
22 Sep 2012
Stochastic Variational Inference
Stochastic Variational Inference
Matt Hoffman
David M. Blei
Chong-Jun Wang
John Paisley
BDL
262
2,627
0
29 Jun 2012
Fixed-Form Variational Posterior Approximation through Stochastic Linear
  Regression
Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression
Tim Salimans
David A. Knowles
120
251
0
28 Jun 2012
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring
S. Ahn
Anoop Korattikara Balan
Max Welling
77
306
0
27 Jun 2012
Sparse Stochastic Inference for Latent Dirichlet allocation
Sparse Stochastic Inference for Latent Dirichlet allocation
David M. Mimno
Matt Hoffman
David M. Blei
BDL
85
158
0
27 Jun 2012
Variational Bayesian Inference with Stochastic Search
Variational Bayesian Inference with Stochastic Search
John Paisley
David M. Blei
Michael I. Jordan
BDL
106
499
0
27 Jun 2012
Nonparametric Bayesian sparse factor models with application to gene
  expression modeling
Nonparametric Bayesian sparse factor models with application to gene expression modeling
David A. Knowles
Zoubin Ghahramani
81
155
0
29 Nov 2010
The Infinite Hierarchical Factor Regression Model
The Infinite Hierarchical Factor Regression Model
Piyush Rai
Hal Daumé
122
63
0
05 Aug 2009
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