Professor Yee Whye Teh

Professor of Statistical Machine Learning

University Lecturer in Statistics
Fellow of  University College

+44 (0)1865 285388 (Direct)

Biographical sketch

Prior to joining Oxford, I was a Lecturer then Reader of Computational Statistics and Machine Learning at the Gatsby Neuroscience Unit, UCL from 2007 to 2012.  I obtained my PhD in Computer Science at the University of Toronto in 2003.  This was followed by two years as a postdoctoral fellow at University of California, Berkeley, then as Lee Kuan Yew Postdoctoral Fellow at the National University of Singapore.

Research
I am interested in developing Bayesian statistical methods to address large and complex problems in science and engineering. Current application domains include unsupervised learning, computational linguistics and statistical genetics. I am particularly interested in Bayesian nonparametric modelling and efficient computational approaches to inference and learning in probabilistic models. 

Selected publications
Modelling Genetic Variations using Fragmentation-Coagulation Processes.  Y. W. Teh, C. Blundell and L. T. Elliott. Advances in Neural Information Processing Systems (NIPS) 2011.  http://www.stats.ox.ac.uk/~teh/research/npbayes/TehBluEll2011a.pdf

Hierarchical Bayesian Nonparametric Models with Applications. Y.W. Teh and M.I. Jordan. Bayesian Nonparametrics, 2010. Cambridge University Press.  http://www.stats.ox.ac.uk/~teh/research/npbayes/TehJor2010a.pdf

The Sequence Memoizer.  F. Wood, C. Archambeau, J. Gasthaus, L. F. James and Y.W. Teh. Communications of the ACM, 54(2):91-98, Feb 2011.  http://cacm.acm.org/magazines/2011/2/104391-the-sequence-memoizer/abstract

Hierarchical Dirichlet Processes. Y.W. Teh, M.I. Jordan, M.J. Beal and D.M. Blei. Journal of the American Statistical Association 101(476):1566-1581, 2006.  http://amstat.tandfonline.com/doi/abs/10.1198/016214506000000302

A Fast Learning Algorithm For Deep Belief Networks. G.E. Hinton, S. Osindero and Y.W. Teh. Neural Computation 18(7):1527-1554, 2006. http://www.mitpressjournals.org/doi/abs/10.1162/neco.2006.18.7.1527

A Hierarchical Bayesian Language Model based on Pitman-Yor Processes. Y.W. Teh. Proceedings of the Conference on Computational Linguistics and Annual Meeting of the Association for Computational Linguistics, 2006.  http://www.stats.ox.ac.uk/~teh/research/compling/acl2006.pdf

List of publications

Personal homepage