Yee Whye Teh : Teaching
Review Articles
Dirichlet Processes.
Y.W. Teh. Encyclopedia of Machine Learning, submitted.
[bibtex] [pdf] [djvu]Hierarchical Bayesian Nonparametric Models with Applications.
Y.W. Teh and M.I. Jordan. Bayesian Nonparametrics, to appear. Cambridge University Press.
[bibtex] [pdf] [djvu] [Cambridge University Press]
Courses
Probabilistic and Unsupervised Learning.
Y.W. Teh and M. Sahani. Gatsby Computational Neuroscience Unit.
[2007/2008] [2008/2009]Machine Learning II.
Y.W. Teh and M. Sahani. Gatsby Computational Neuroscience Unit.
[2007/2008] [2008/2009]
Short Courses
Adaptive Modelling of Complex Data: Clustering.
Y.W. Teh. UCL. 2009.
[lecture.pdf] [package.zip]Dirichlet Processes---MLSS 2007.
Y.W. Teh. Machine Learning Summer School 2007 Tutorial and Practical Course.
[slides.pdf] [package.tgz] [package.zip] [MLSS 2007] [Video Lectures]Bayesian Nonparametrics.
Y.W. Teh. 2009.
Tutorial covering Dirichlet processes, beta and Indian buffet processes, hierarchical Dirichlet processes and Pitman-Yor processes.
[Gatsby ML2 2009] [MSR Cambridge 2009] [MLSS 2009] [Toronto 2009]
[demonstrations]
Demonstrations
Bayesian Nonparametrics: DP Mixtures.
Y.W. Teh. 2009.
Documented MATLAB code demonstrating DP mixtures. Also includes demonstrations that are part of my introductory lectures on Bayesian nonparametrics.
[directory] [tgz] [zip]
[tutorial slides]