Research : Selected Papers

• Modelling Genetic Variations using Fragmentation-Coagulation Processes.
  Y. W. Teh, C. Blundell and L. T. Elliott. NIPS 2011.
  [bibtex] [pdf] [slides] [NIPS 2011]

• Hierarchical Bayesian Nonparametric Models with Applications.
  Y.W. Teh and M.I. Jordan. Bayesian Nonparametrics, 2010. Cambridge University Press.
  [bibtex] [pdf] [djvu] [Cambridge University Press]

• The Sequence Memoizer.
  F. Wood, C. Archambeau, J. Gasthaus, L. F. James and Y.W. Teh. CACM, 54(2):91-98, Feb 2011.
  [bibtex] [pdf] [djvu] [CACM]

• The Mondrian Process.
  D.M. Roy and Y.W. Teh. NIPS 2008.
  [bibtex] [pdf] [djvu] [NIPS 2008]

• An Efficient Sequential Monte-Carlo Algorithm for Coalescent Clustering.
  D. Gorur and Y.W. Teh. NIPS 2008.
  [bibtex] [pdf] [djvu] [NIPS 2008]

• Hierarchical Dirichlet Processes.
  Y.W. Teh, M.I. Jordan, M.J. Beal and D.M. Blei. JASA 101(476):1566-1581, 2006.
  [bibtex] [pdf] [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] [djvu] [Neural Computation]

• A Hierarchical Bayesian Language Model based on Pitman-Yor Processes.
  Y.W. Teh. Coling/ACL 2006.
  [bibtex] [pdf] [djvu] [Coling/ACL 2006]

• Automatic Alignment of Local Representations.
  Y.W. Teh and S. Roweis. NIPS 2002.
  [bibtex] [pdf] [djvu] [NIPS 2002]