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Yee Whye Teh
(ALIAS: Yee-Whye Teh) [FOAF]  [Follow]

Position: LKY Postdoctoral Fellow
Affiliation: Department of Computer Science National University of Singapore
Address: Department of Computer Science National University of Singapore 3 Science Drive 2, Singapore 117543
Phone: +65 6516 2829
Fax: +65 6779 4580
Homepage: http://www.cs.berkeley.edu/~ywteh/
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Statistics: H-index: 18 (See all experts' h-index.)
total citation number: 1486
highest-cited paper: Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes (2004) at NIPS (Cited By 525)

Research Interest:

approximate inference, Collapsed Variational Bayesian Inference, Collapsed Variational Inference, Gibbs Collapsed Inference, Bayesian Agglomerative Clustering

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Publications: [Edit disambiguation Result]

2009(1)
[33]Frank Wood, Cedric Archambeau, Jan Gasthaus, Lancelot James, Yee Whye Teh. A stochastic memoizer for sequence data.  ICML'2009. pp.142~142    Cited By 9[Bibtex]
2008(7)
[32]Jurgen Van Gael, Yunus Saatci, Yee Whye Teh, Zoubin Ghahramani. Beam sampling for the infinite hidden Markov model.  ICML'2008. pp.1088~1095    Cited By 28[Bibtex]
[31]Daniel M. Roy, Yee Whye Teh. The Mondrian Process.  NIPS'2008. pp.1377~1384   [Bibtex]
[30]Dilan Gorur, Yee Whye Teh. An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering.  NIPS'2008. pp.521~528   [Bibtex]
[29]Jurgen Van Gael, Yee Whye Teh, Zoubin Ghahramani. The Infinite Factorial Hidden Markov Model.  NIPS'2008. pp.1697~1704    Cited By 12[Bibtex]
[28]Jan Gasthaus, Frank Wood, Dilan Gorur, Yee Whye Teh. Dependent Dirichlet Process Spike Sorting.  NIPS'2008. pp.497~504    Cited By 4[Bibtex]
[27]Gerald Quon, Yee Whye Teh, Esther Chan, Timothy R. Hughes, Michael Brudno, Quaid Morris. A mixture model for the evolution of gene expression in non-homogeneous datasets.  NIPS'2008. pp.1297~1304    Cited By 1[Bibtex]
[26]Max Welling, Yee Whye Teh, Bert Kappen. Hybrid Variational/Gibbs Collapsed Inference in Topic Models.  UAI'2008. pp.587~594    Cited By 2[Bibtex]
2007(4)
[25]Kenichi Kurihara, Max Welling, Yee Whye Teh. Collapsed Variational Dirichlet Process Mixture Models.  IJCAI'2007. pp.2796~2801    Cited By 33[Bibtex] [PDF]
[24]Yee Whye Teh, Hal Daume III, Daniel M. Roy. Bayesian Agglomerative Clustering with Coalescents.  NIPS'2007.    [Bibtex]
[23]Hai Leong Chieu, Wee Sun Lee, Yee Whye Teh. Cooled and Relaxed Survey Propagation for MRFs.  NIPS'2007.     Cited By 2[Bibtex]
[22]Yee Whye Teh, Kenichi Kurihara, Max Welling. Collapsed Variational Inference for HDP.  NIPS'2007.     Cited By 19[Bibtex]
2006(4)
[21]Yee Whye Teh. A Hierarchical Bayesian Language Model Based On Pitman-Yor Processes.  ACL'2006.     Cited By 64[Bibtex]
[20]Eric P. Xing, Kyung-Ah Sohn, Michael I. Jordan, Yee Whye Teh. Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture.  ICML'2006. pp.1049~1056    Cited By 17[Bibtex] [PDF]
[19]Yee Whye Teh, David Newman, Max Welling. A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation.  NIPS'2006. pp.1353~1360    Cited By 62[Bibtex]
[18]Geoffrey E. Hinton, Simon Osindero, Yee Whye Teh. A Fast Learning Algorithm for Deep Belief Nets. Neural Computation, 2006: 1527~1554    Cited By 301[Bibtex]
2005(1)
[17]Max Welling, Thomas P. Minka, Yee Whye Teh. Structured Region Graphs: Morphing EP into GBP.  UAI'2005. pp.609~614    Cited By 25[Bibtex]
2004(5)
[16]Tamara L. Berg, Alexander C. Berg, Jaety Edwards, Michael Maire, Ryan White, Yee Whye Teh, Erik G. Learned-Miller, David A. Forsyth. Names and Faces in the News.  CVPR (2)'2004. pp.848~854    Cited By 1[Bibtex]
[15]Max Welling, Michal Rosen-Zvi, Yee Whye Teh. Approximate inference by Markov chains on union spaces.  ICML'2004.    [Bibtex] [PDF]
[14]Jaety Edwards, Yee Whye Teh, David A. Forsyth, Roger Bock, Michael Maire, Grace Vesom. Making Latin Manuscripts Searchable using gHMMs.  NIPS'2004.     Cited By 22[Bibtex]
[13]Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, David M. Blei. Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes.  NIPS'2004.     Cited By 525[Bibtex] [PDF]
[12]Max Welling, Yee Whye Teh. Linear Response Algorithms for Approximate Inference in Graphical Models. Neural Computation, 2004: 197~221    Cited By 17[Bibtex]
2003(3)
[11]Max Welling, Yee Whye Teh. Linear Response for Approximate Inference.  NIPS'2003.     Cited By 3[Bibtex] [PDF]
[10]Max Welling, Yee Whye Teh. Approximate inference in Boltzmann machines. Artif. Intell., 2003: 19~50   [Bibtex]
[9]Yee Whye Teh, Max Welling, Simon Osindero, Geoffrey E. Hinton. Energy-Based Models for Sparse Overcomplete Representations. Journal of Machine Learning Research, 2003: 1235~1260    Cited By 54[Bibtex] [PDF]
2002(2)
[8]Sham Kakade, Yee Whye Teh, Sam T. Roweis. An Alternate Objective Function for Markovian Fields.  ICML'2002. pp.275~282    Cited By 45[Bibtex] [PDF]
[7]Yee Whye Teh, Sam T. Roweis. Automatic Alignment of Local Representations.  NIPS'2002. pp.841~848    Cited By 66[Bibtex] [PDF]
2001(3)
[6]Yee Whye Teh, Max Welling. The Unified Propagation and Scaling Algorithm.  NIPS'2001. pp.953~960    Cited By 48[Bibtex] [PDF]
[5]Max Welling, Yee Whye Teh. Belief Optimization for Binary Networks: A Stable Alternative to Loopy Belief Propagation.  UAI'2001. pp.554~561    Cited By 58[Bibtex]
[4]Geoffrey E. Hinton, Yee Whye Teh. Discovering Multiple Constraints that are Frequently Approximately Satisfied.  UAI'2001. pp.227~234    Cited By 20[Bibtex]
2000(1)
[3]Yee Whye Teh, Geoffrey E. Hinton. Rate-coded Restricted Boltzmann Machines for Face Recognition.  NIPS'2000. pp.908~914    Cited By 38[Bibtex] [PDF]
1999(1)
[2]Geoffrey E. Hinton, Zoubin Ghahramani, Yee Whye Teh. Learning to Parse Images.  NIPS'1999. pp.463~469    Cited By 26[Bibtex] [PDF]
1998(1)
[1]Fahiem Bacchus, Yee Whye Teh. Making Forward Chaining Relevant.  AIPS'1998. pp.54~61    Cited By 14[Bibtex]