Yee Whye Teh

	2009
33		Frank Wood, Cédric Archambeau, Jan Gasthaus, Lancelot James, Yee Whye Teh: A stochastic memoizer for sequence data. ICML 2009: 142
	2008
32		Jurgen Van Gael, Yunus Saatci, Yee Whye Teh, Zoubin Ghahramani: Beam sampling for the infinite hidden Markov model. ICML 2008: 1088-1095
31		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: 1297-1304
30		Daniel M. Roy, Yee Whye Teh: The Mondrian Process. NIPS 2008: 1377-1384
29		Jurgen Van Gael, Yee Whye Teh, Zoubin Ghahramani: The Infinite Factorial Hidden Markov Model. NIPS 2008: 1697-1704
28		Jan Gasthaus, Frank Wood, Dilan Görür, Yee Whye Teh: Dependent Dirichlet Process Spike Sorting. NIPS 2008: 497-504
27		Dilan Görür, Yee Whye Teh: An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering. NIPS 2008: 521-528
26		Max Welling, Yee Whye Teh, Bert Kappen: Hybrid Variational/Gibbs Collapsed Inference in Topic Models. UAI 2008: 587-594
	2007
25		Kenichi Kurihara, Max Welling, Yee Whye Teh: Collapsed Variational Dirichlet Process Mixture Models. IJCAI 2007: 2796-2801
24		Yee Whye Teh, Hal Daumé III, Daniel M. Roy: Bayesian Agglomerative Clustering with Coalescents. NIPS 2007
23		Yee Whye Teh, Kenichi Kurihara, Max Welling: Collapsed Variational Inference for HDP. NIPS 2007
22		Hai Leong Chieu, Wee Sun Lee, Yee Whye Teh: Cooled and Relaxed Survey Propagation for MRFs. NIPS 2007
	2006
21		Yee Whye Teh: A Hierarchical Bayesian Language Model Based On Pitman-Yor Processes. ACL 2006
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: 1049-1056
19		Yee Whye Teh, David Newman, Max Welling: A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation. NIPS 2006: 1353-1360
18		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		Max Welling, Thomas P. Minka, Yee Whye Teh: Structured Region Graphs: Morphing EP into GBP. UAI 2005: 609-614
	2004
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: 848-854
15		Max Welling, Michal Rosen-Zvi, Yee Whye Teh: Approximate inference by Markov chains on union spaces. ICML 2004
14		Jaety Edwards, Yee Whye Teh, David A. Forsyth, Roger Bock, Michael Maire, Grace Vesom: Making Latin Manuscripts Searchable using gHMMs. NIPS 2004
13		Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, David M. Blei: Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes. NIPS 2004
12		Max Welling, Yee Whye Teh: Linear Response Algorithms for Approximate Inference in Graphical Models. Neural Computation 16(1): 197-221 (2004)
	2003
11		Max Welling, Yee Whye Teh: Linear Response for Approximate Inference. NIPS 2003
10		Max Welling, Yee Whye Teh: Approximate inference in Boltzmann machines. Artif. Intell. 143(1): 19-50 (2003)
9		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		Yee Whye Teh, Sam T. Roweis: Automatic Alignment of Local Representations. NIPS 2002: 841-848
	2001
6		Yee Whye Teh, Max Welling: The Unified Propagation and Scaling Algorithm. NIPS 2001: 953-960
5		Geoffrey E. Hinton, Yee Whye Teh: Discovering Multiple Constraints that are Frequently Approximately Satisfied. UAI 2001: 227-234
4		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		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	Cédric Archambeau	[33]
2	Fahiem Bacchus	[1]
3	Matthew J. Beal	[13]
4	Alexander C. Berg	[16]
5	Tamara L. Berg	[16]
6	David M. Blei	[13]
7	Roger Bock	[14]
8	Michael Brudno	[31]
9	Esther Chan	[31]
10	Hai Leong Chieu	[22]
11	Hal Daumé III	[24]
12	Jaety Edwards	[14] [16]
13	David A. Forsyth	[14] [16]
14	Jurgen Van Gael	[29] [32]
15	Jan Gasthaus	[28] [33]
16	Zoubin Ghahramani	[2] [29] [32]
17	Dilan Görür	[27] [28]
18	Geoffrey E. Hinton	[2] [3] [5] [9] [18]
19	Timothy R. Hughes	[31]
20	Lancelot James	[33]
21	Michael I. Jordan	[13] [20]
22	Sham M. Kakade (Sham Kakade)	[8]
23	Bert Kappen	[26]
24	Kenichi Kurihara	[23] [25]
25	Erik G. Learned-Miller	[16]
26	Wee Sun Lee	[22]
27	Michael Maire	[14] [16]
28	Thomas P. Minka (Tom Minka)	[17]
29	Quaid Morris	[31]
30	David Newman	[19]
31	Simon Osindero	[9] [18]
32	Gerald Quon	[31]
33	Michal Rosen-Zvi	[15]
34	Sam T. Roweis	[7] [8]
35	Daniel M. Roy	[24] [30]
36	Yunus Saatci	[32]
37	Kyung-Ah Sohn	[20]
38	Grace Vesom	[14]
39	Max Welling	[4] [6] [9] [10] [11] [12] [15] [17] [19] [23] [25] [26]
40	Ryan White	[16]
41	Frank Wood	[28] [33]
42	Eric P. Xing	[20]

Colors in the list of coauthors