Yee Whye Teh

2008
23	EE	Jurgen Van Gael, Yunus Saatci, Yee Whye Teh, Zoubin Ghahramani: Beam sampling for the infinite hidden Markov model. ICML 2008: 1088-1095
2007
22	EE	Kenichi Kurihara, Max Welling, Yee Whye Teh: Collapsed Variational Dirichlet Process Mixture Models. IJCAI 2007: 2796-2801
2006
21	EE	Yee Whye Teh: A Hierarchical Bayesian Language Model Based On Pitman-Yor Processes. ACL 2006
20	EE	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: 1049-1056
19	EE	Yee Whye Teh, David Newman, Max Welling: A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation. NIPS 2006: 1353-1360
18	EE	Geoffrey E. Hinton, Simon Osindero, Yee Whye Teh: A Fast Learning Algorithm for Deep Belief Nets. Neural Computation 18(7): 1527-1554 (2006)
2005
17	EE	Max Welling, Thomas P. Minka, Yee Whye Teh: Structured Region Graphs: Morphing EP into GBP. UAI 2005: 609-614
2004
16	EE	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: 848-854
15	EE	Max Welling, Michal Rosen-Zvi, Yee Whye Teh: Approximate inference by Markov chains on union spaces. ICML 2004
14	EE	Jaety Edwards, Yee Whye Teh, David A. Forsyth, Roger Bock, Michael Maire, Grace Vesom: Making Latin Manuscripts Searchable using gHMMs. NIPS 2004
13	EE	Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, David M. Blei: Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes. NIPS 2004
12	EE	Max Welling, Yee Whye Teh: Linear Response Algorithms for Approximate Inference in Graphical Models. Neural Computation 16(1): 197-221 (2004)
2003
11	EE	Max Welling, Yee Whye Teh: Linear Response for Approximate Inference. NIPS 2003
10	EE	Max Welling, Yee Whye Teh: Approximate inference in Boltzmann machines. Artif. Intell. 143(1): 19-50 (2003)
9	EE	Yee Whye Teh, Max Welling, Simon Osindero, Geoffrey E. Hinton: Energy-Based Models for Sparse Overcomplete Representations. Journal of Machine Learning Research 4: 1235-1260 (2003)
2002
8		Sham Kakade, Yee Whye Teh, Sam T. Roweis: An Alternate Objective Function for Markovian Fields. ICML 2002: 275-282
7	EE	Yee Whye Teh, Sam T. Roweis: Automatic Alignment of Local Representations. NIPS 2002: 841-848
2001
6	EE	Yee Whye Teh, Max Welling: The Unified Propagation and Scaling Algorithm. NIPS 2001: 953-960
5	EE	Geoffrey E. Hinton, Yee Whye Teh: Discovering Multiple Constraints that are Frequently Approximately Satisfied. UAI 2001: 227-234
4	EE	Max Welling, Yee Whye Teh: Belief Optimization for Binary Networks: A Stable Alternative to Loopy Belief Propagation. UAI 2001: 554-561
2000
3		Yee Whye Teh, Geoffrey E. Hinton: Rate-coded Restricted Boltzmann Machines for Face Recognition. NIPS 2000: 908-914
1999
2	EE	Geoffrey E. Hinton, Zoubin Ghahramani, Yee Whye Teh: Learning to Parse Images. NIPS 1999: 463-469
1998
1		Fahiem Bacchus, Yee Whye Teh: Making Forward Chaining Relevant. AIPS 1998: 54-61

Coauthor Index

1	Fahiem Bacchus	[1]
2	Matthew J. Beal	[13]
3	Alexander C. Berg	[16]
4	Tamara L. Berg	[16]
5	David M. Blei	[13]
6	Roger Bock	[14]
7	Jaety Edwards	[14] [16]
8	David A. Forsyth	[14] [16]
9	Jurgen Van Gael	[23]
10	Zoubin Ghahramani	[2] [23]
11	Geoffrey E. Hinton	[2] [3] [5] [9] [18]
12	Michael I. Jordan	[13] [20]
13	Sham M. Kakade (Sham Kakade)	[8]
14	Kenichi Kurihara	[22]
15	Erik G. Learned-Miller	[16]
16	Michael Maire	[14] [16]
17	Thomas P. Minka	[17]
18	David Newman	[19]
19	Simon Osindero	[9] [18]
20	Michal Rosen-Zvi	[15]
21	Sam T. Roweis	[7] [8]
22	Yunus Saatci	[23]
23	Kyung-Ah Sohn	[20]
24	Grace Vesom	[14]
25	Max Welling	[4] [6] [9] [10] [11] [12] [15] [17] [19] [22]
26	Ryan White	[16]
27	Eric P. Xing	[20]

Colors in the list of coauthors