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variational-bayes.org

Variational-Bayes Repository

Gatsby Computational Neuroscience Unit. Research interests: Machine Learning, Graphical Models, Bayesian Inference

http://www.variational-bayes.org/

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Variational-Bayes Repository | variational-bayes.org Reviews
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Gatsby Computational Neuroscience Unit. Research interests: Machine Learning, Graphical Models, Bayesian Inference
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Variational-Bayes Repository | variational-bayes.org Reviews

https://variational-bayes.org

Gatsby Computational Neuroscience Unit. Research interests: Machine Learning, Graphical Models, Bayesian Inference

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variational-bayes.org variational-bayes.org
1

Variational-Bayes Repository

http://www.variational-bayes.org/vbsoftware.html

VIBES (Variational Inference for BayESian Networks). Inference engine for performing variational inference in Bayesian networks. VIBES 2.0 is now available! Visit http:/ vibes.sourceforge.net. For installation instructions, a tutorial, example files and online help. Variational Bayesian Mixtures of Factor Analysers. Matthew J. Beal. Ghahramani, Z. and Beal, M.J. (2000). Variational Inference for Bayesian Mixtures of Factor Analysers. In Advances in Neural Information Processing Systems. Implements an app...

2

Variational-Bayes Repository

http://www.variational-bayes.org/vbpeople.html

Group, Microsoft Research. Institute for Adaptive and Neural Computation. Dept, Buffalo, New York. Group, Microsoft Research. Unit, London, UK. CS Sheffield University, UK. Inference group, Cambridge, UK. Carnegie Mellon, Pittsburg. Neural Computing Research Group. Aston University, UK. Laboratory, London, UK. Group, Oxford, UK. Institute for Adaptive and Neural Computation. Group, Microsoft Research. Intelligent Communication Laboratory, NTT, Japan. Cavendish Lab, Cambrige, UK.

3

Variational-Bayes Repository

http://www.variational-bayes.org/vbpapers.html

Denotes a recently submitted paper. Beal, M.J. Variational Algorithms for Approximate Bayesian Inference. Beal, M.J. and Ghahramani, Z. The Variational Bayesian EM Algorithm for Incomplete Data: with Application to Scoring Graphical Model Structures. Bayesian Statistics 7, Oxford University Press, 2003. Watanabe, S., Minami, Y., Nakamura, A. and Ueda, N. Application of Variational Bayesian Approach to Speech Recognition. Variational Message Passing and its Applications. Choudrey, R. and Roberts, S. Choud...

4

Variational-Bayes Repository

http://www.variational-bayes.org/index.html

Welcome to Variational-Bayes.org. This is a repository of papers, software, and links related to the use of variational methods for approximate Bayesian learning. NOTE: Although there are a variety of variational methods that can be used to approximate Bayesian integrals, in this repository we will focus on methods that provide bounds. On these integrals (e.g. by using Jensen's inequality). We would kindly ask you to keep us informed of new papers. We plan to include:. Simply follow the submit.

5

Variational-Bayes Repository

http://www.variational-bayes.org/vbsubmit.html

For the time being, you are asked simply to send an email with the relevant link and citation details to:. Mbeal [at] cse.buffalo.edu.

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Variational-Bayes Repository

Welcome to Variational-Bayes.org. This is a repository of papers, software, and links related to the use of variational methods for approximate Bayesian learning. NOTE: Although there are a variety of variational methods that can be used to approximate Bayesian integrals, in this repository we will focus on methods that provide bounds. On these integrals (e.g. by using Jensen's inequality). We would kindly ask you to keep us informed of new papers. We plan to include:. Simply follow the submit.

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