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Gatsby Computational
Neuroscience Unit
University College London Yee Whye Teh Lecturer |
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Highlights
ICML/UAI/COLT 2008 Workshop on Nonparametric Bayes.
I am a co-organizer, along with Romain Thibaux, Zoubin Ghahramani, and Mike Jordan. Call for Participation!ICML/UAI/COLT 2008 Workshop on Prior Knowledge for Text and Language Processing.
I am a co-organizer, along with Marc Dymetman, Guillaume Bouchard, and Hal Daume III. Call for Participation!Easy BP - release 0.
Y.W. Teh. 2008. MATLAB and C code. Implements a MATLAB table class to make implementation of various message passing inference algorithms much simpler.
[readme] [tgz] [zip]Dirichlet Processes---MLSS 2007.
Y.W. Teh. Machine Learning Summer School 2007 Tutorial and Practical Course.
[slides.pdf] [all.tgz] [all.zip] [MLSS 2007] [Video Lectures]Bayesian Agglomerative Clustering with Coalescents.
Y.W. Teh, H. Daume III and D.M. Roy. NIPS 2007.
[bibtex] [pdf] [djvu] [NIPS 2007]Collapsed Variational Inference for HDP.
Y.W. Teh, K. Kurihara and M. Welling. NIPS 2007.
[bibtex] [pdf] [djvu] [NIPS 2007]Stick-breaking Construction for the Indian Buffet Process.
Y.W. Teh, D. Gorur and Z. Ghahramani. AISTATS 2007.
[bibtex] [pdf] [ps.gz] [djvu] [AISTATS 2007]Hierarchical Dirichlet Processes.
Y.W. Teh, M.I. Jordan, M.J. Beal and D.M. Blei. JASA 101(476):1566-1581, 2006.
[bibtex] [pdf] [ps.gz] [djvu] [JASA]A Fast Learning Algorithm For Deep Belief Networks.
G.E. Hinton, S. Osindero and Y.W. Teh. Neural Computation 18(7):1527-1554, 2006.
[bibtex] [pdf] [ps.gz] [djvu] [Neural Computation]A Hierarchical Bayesian Language Model based on Pitman-Yor Processes.
Y.W. Teh, Coling/ACL 2006.
[bibtex] [pdf] [ps.gz] [djvu] [Coling/ACL 2006]
Contact Information
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