Yee Whye Teh

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	2013
i12		Geoffrey E. Hinton, Yee Whye Teh: Discovering Multiple Constraints that are Frequently Approximately Satisfied. CoRR abs/1301.2278 (2013)
i11		Max Welling, Yee Whye Teh: Belief Optimization for Binary Networks: A Stable Alternative to Loopy Belief Propagation. CoRR abs/1301.2317 (2013)
i10		Balaji Lakshminarayanan, Daniel M. Roy, Yee Whye Teh: Top-down particle filtering for Bayesian decision trees. CoRR abs/1303.0561 (2013)
	2012
c47		Andriy Mnih, Yee Whye Teh: A fast and simple algorithm for training neural probabilistic language models. ICML 2012
c46		Vinayak Rao, Yee Whye Teh: MCMC for continuous-time discrete-state systems. NIPS 2012: 710-718
c45		Bogdan Alexe, Nicolas Heess, Yee Whye Teh, Vittorio Ferrari: Searching for objects driven by context. NIPS 2012: 890-898
c44		Francois Caron, Yee Whye Teh: Bayesian nonparametric models for ranked data. NIPS 2012: 1529-1537
c43		Andriy Mnih, Yee Whye Teh: Learning Label Trees for Probabilistic Modelling of Implicit Feedback. NIPS 2012: 2825-2833
c42		Lloyd T. Elliott, Yee Whye Teh: Scalable imputation of genetic data with a discrete fragmentation-coagulation process. NIPS 2012: 2861-2869
i9		Vinayak Rao, Yee Whye Teh: Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks. CoRR abs/1202.3760 (2012)
i8		Charles Blundell, Yee Whye Teh, Katherine A. Heller: Bayesian Rose Trees. CoRR abs/1203.3468 (2012)
i7		Arthur U. Asuncion, Max Welling, Padhraic Smyth, Yee Whye Teh: On Smoothing and Inference for Topic Models. CoRR abs/1205.2662 (2012)
i6		Max Welling, Yee Whye Teh, Hilbert J. Kappen: Hybrid Variational/Gibbs Collapsed Inference in Topic Models. CoRR abs/1206.3297 (2012)
i5		Max Welling, Thomas P. Minka, Yee Whye Teh: Structured Region Graphs: Morphing EP into GBP. CoRR abs/1207.1426 (2012)
i4		Francois Caron, Yee Whye Teh: Bayesian nonparametric models for ranked data. CoRR abs/1211.4321 (2012)
i3		Francois Caron, Yee Whye Teh, Thomas Brendan Murphy: Bayesian nonparametric Plackett-Luce models for the analysis of clustered ranked data. CoRR abs/1211.5037 (2012)
	2011
j12		Frank Wood, Jan Gasthaus, Cédric Archambeau, Lancelot James, Yee Whye Teh: The sequence memoizer. Commun. ACM 54(2): 91-98 (2011)
j11		Ricardo Silva, Charles Blundell, Yee Whye Teh: Mixed Cumulative Distribution Networks. Journal of Machine Learning Research - Proceedings Track 15: 670-678 (2011)
c41		Max Welling, Yee Whye Teh: Bayesian Learning via Stochastic Gradient Langevin Dynamics. ICML 2011: 681-688
c40		Yee Whye Teh, Charles Blundell, Lloyd T. Elliott: Modelling Genetic Variations using Fragmentation-Coagulation Processes. NIPS 2011: 819-827
c39		Vinayak Rao, Yee Whye Teh: Gaussian process modulated renewal processes. NIPS 2011: 2474-2482
c38		Vinayak Rao, Yee Whye Teh: Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks. UAI 2011: 619-626
i2		Andriy Mnih, Yee Whye Teh: Learning Item Trees for Probabilistic Modelling of Implicit Feedback. CoRR abs/1109.5894 (2011)
	2010
j10		Yee Whye Teh, D. Mike Titterington: Preface. Journal of Machine Learning Research - Proceedings Track 9 (2010)
c37		Jan Gasthaus, Frank Wood, Yee Whye Teh: Lossless Compression Based on the Sequence Memoizer. DCC 2010: 337-345
c36		Jan Gasthaus, Yee Whye Teh: Improvements to the Sequence Memoizer. NIPS 2010: 685-693
c35		Charles Blundell, Yee Whye Teh, Katherine A. Heller: Bayesian Rose Trees. UAI 2010: 65-72
r2		Peter Orbanz, Yee Whye Teh: Bayesian Nonparametric Models. Encyclopedia of Machine Learning 2010: 81-89
r1		Yee Whye Teh: Dirichlet Process. Encyclopedia of Machine Learning 2010: 280-287
i1		Ricardo Silva, Charles Blundell, Yee Whye Teh: Mixed Cumulative Distribution Networks. CoRR abs/1008.5386 (2010)
	2009
j9		Finale Doshi, Kurt Miller, Jurgen Van Gael, Yee Whye Teh: Variational Inference for the Indian Buffet Process. Journal of Machine Learning Research - Proceedings Track 5: 137-144 (2009)
j8		Katherine A. Heller, Yee Whye Teh, Dilan Görür: Infinite Hierarchical Hidden Markov Models. Journal of Machine Learning Research - Proceedings Track 5: 224-231 (2009)
j7		Frank Wood, Yee Whye Teh: A Hierarchical Nonparametric Bayesian Approach to Statistical Language Model Domain Adaptation. Journal of Machine Learning Research - Proceedings Track 5: 607-614 (2009)
c34		Frank Wood, Cédric Archambeau, Jan Gasthaus, Lancelot James, Yee Whye Teh: A stochastic memoizer for sequence data. ICML 2009: 142
c33		Gholamreza Haffari, Yee Whye Teh: Hierarchical Dirichlet Trees for Information Retrieval. HLT-NAACL 2009: 173-181
c32		Vinayak Rao, Yee Whye Teh: Spatial Normalized Gamma Processes. NIPS 2009: 1554-1562
c31		Yee Whye Teh, Dilan Görür: Indian Buffet Processes with Power-law Behavior. NIPS 2009: 1838-1846
c30		Arthur U. Asuncion, Max Welling, Padhraic Smyth, Yee Whye Teh: On Smoothing and Inference for Topic Models. UAI 2009: 27-34
	2008
c29		Jurgen Van Gael, Yunus Saatci, Yee Whye Teh, Zoubin Ghahramani: Beam sampling for the infinite hidden Markov model. ICML 2008: 1088-1095
c28		Jan Gasthaus, Frank Wood, Dilan Görür, Yee Whye Teh: Dependent Dirichlet Process Spike Sorting. NIPS 2008: 497-504
c27		Dilan Görür, Yee Whye Teh: An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering. NIPS 2008: 521-528
c26		Gerald Quon, Yee Whye Teh, Esther T. 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
c25		Daniel M. Roy, Yee Whye Teh: The Mondrian Process. NIPS 2008: 1377-1384
c24		Jurgen Van Gael, Yee Whye Teh, Zoubin Ghahramani: The Infinite Factorial Hidden Markov Model. NIPS 2008: 1697-1704
c23		Max Welling, Yee Whye Teh, Bert Kappen: Hybrid Variational/Gibbs Collapsed Inference in Topic Models. UAI 2008: 587-594
	2007
j6		Yee Whye Teh, Dilan Görür, Zoubin Ghahramani: Stick-breaking Construction for the Indian Buffet Process. Journal of Machine Learning Research - Proceedings Track 2: 556-563 (2007)
c22		Junfu Cai, Wee Sun Lee, Yee Whye Teh: Improving Word Sense Disambiguation Using Topic Features. EMNLP-CoNLL 2007: 1015-1023
c21		Kenichi Kurihara, Max Welling, Yee Whye Teh: Collapsed Variational Dirichlet Process Mixture Models. IJCAI 2007: 2796-2801
c20		Hai Leong Chieu, Wee Sun Lee, Yee Whye Teh: Cooled and Relaxed Survey Propagation for MRFs. NIPS 2007
c19		Yee Whye Teh, Hal Daumé III, Daniel M. Roy: Bayesian Agglomerative Clustering with Coalescents. NIPS 2007
c18		Yee Whye Teh, Kenichi Kurihara, Max Welling: Collapsed Variational Inference for HDP. NIPS 2007
	2006
j5		Geoffrey E. Hinton, Simon Osindero, Max Welling, Yee Whye Teh: Unsupervised Discovery of Nonlinear Structure Using Contrastive Backpropagation. Cognitive Science 30(4): 725-731 (2006)
j4		Geoffrey E. Hinton, Simon Osindero, Yee Whye Teh: A Fast Learning Algorithm for Deep Belief Nets. Neural Computation 18(7): 1527-1554 (2006)
c17		Yee Whye Teh: A Hierarchical Bayesian Language Model Based On Pitman-Yor Processes. ACL 2006
c16		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
c15		Yee Whye Teh, David Newman, Max Welling: A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation. NIPS 2006: 1353-1360
	2005
c14		Max Welling, Thomas P. Minka, Yee Whye Teh: Structured Region Graphs: Morphing EP into GBP. UAI 2005: 609-614
	2004
j3		Max Welling, Yee Whye Teh: Linear Response Algorithms for Approximate Inference in Graphical Models. Neural Computation 16(1): 197-221 (2004)
c13		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
c12		Max Welling, Michal Rosen-Zvi, Yee Whye Teh: Approximate inference by Markov chains on union spaces. ICML 2004
c11		Jaety Edwards, Yee Whye Teh, David A. Forsyth, Roger Bock, Michael Maire, Grace Vesom: Making Latin Manuscripts Searchable using gHMMs. NIPS 2004
c10		Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, David M. Blei: Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes. NIPS 2004
	2003
j2		Max Welling, Yee Whye Teh: Approximate inference in Boltzmann machines. Artif. Intell. 143(1): 19-50 (2003)
j1		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)
c9		Max Welling, Yee Whye Teh: Linear Response for Approximate Inference. NIPS 2003
	2002
c8		Sham Kakade, Yee Whye Teh, Sam T. Roweis: An Alternate Objective Function for Markovian Fields. ICML 2002: 275-282
c7		Yee Whye Teh, Sam T. Roweis: Automatic Alignment of Local Representations. NIPS 2002: 841-848
	2001
c6		Yee Whye Teh, Max Welling: The Unified Propagation and Scaling Algorithm. NIPS 2001: 953-960
c5		Geoffrey E. Hinton, Yee Whye Teh: Discovering Multiple Constraints that are Frequently Approximately Satisfied. UAI 2001: 227-234
c4		Max Welling, Yee Whye Teh: Belief Optimization for Binary Networks: A Stable Alternative to Loopy Belief Propagation. UAI 2001: 554-561
	2000
c3		Yee Whye Teh, Geoffrey E. Hinton: Rate-coded Restricted Boltzmann Machines for Face Recognition. NIPS 2000: 908-914
	1999
c2		Geoffrey E. Hinton, Zoubin Ghahramani, Yee Whye Teh: Learning to Parse Images. NIPS 1999: 463-469
	1998
c1		Fahiem Bacchus, Yee Whye Teh: Making Forward Chaining Relevant. AIPS 1998: 54-61

Coauthor Index

1	Bogdan Alexe	[c45]
2	Cédric Archambeau	[j12] [c34]
3	Arthur U. Asuncion	[i7] [c30]
4	Fahiem Bacchus	[c1]
5	Matthew J. Beal	[c10]
6	Alexander C. Berg	[c13]
7	Tamara L. Berg	[c13]
8	David M. Blei	[c10]
9	Charles Blundell	[i8] [j11] [c40] [c35] [i1]
10	Roger Bock	[c11]
11	Michael Brudno	[c26]
12	Junfu Cai	[c22]
13	Francois Caron	[c44] [i4] [i3]
14	Esther T. Chan	[c26]
15	Hai Leong Chieu	[c20]
16	Hal Daumé III	[c19]
17	Finale Doshi-Velez (Finale Doshi)	[j9]
18	Jaety Edwards	[c13] [c11]
19	Lloyd T. Elliott	[c42] [c40]
20	Vittorio Ferrari	[c45]
21	David A. Forsyth	[c13] [c11]
22	Jurgen Van Gael	[j9] [c29] [c24]
23	Jan Gasthaus	[j12] [c37] [c36] [c34] [c28]
24	Zoubin Ghahramani	[c29] [c24] [j6] [c2]
25	Dilan Görür	[j8] [c31] [c28] [c27] [j6]
26	Gholamreza Haffari	[c33]
27	Nicolas Heess (Nicolas M. O. Heess)	[c45]
28	Katherine A. Heller	[i8] [c35] [j8]
29	Geoffrey E. Hinton	[i12] [j5] [j4] [j1] [c5] [c3] [c2]
30	Timothy R. Hughes	[c26]
31	Lancelot James	[j12] [c34]
32	Michael I. Jordan	[c16] [c10]
33	Sham M. Kakade (Sham Kakade)	[c8]
34	Hilbert J. Kappen (Bert Kappen)	[i6] [c23]
35	Kenichi Kurihara	[c21] [c18]
36	Balaji Lakshminarayanan	[i10]
37	Erik G. Learned-Miller	[c13]
38	Wee Sun Lee	[c22] [c20]
39	Michael Maire	[c13] [c11]
40	Kurt Miller	[j9]
41	Thomas P. Minka (Tom Minka)	[i5] [c14]
42	Andriy Mnih	[c47] [c43] [i2]
43	Quaid Morris	[c26]
44	Thomas Brendan Murphy	[i3]
45	David Newman	[c15]
46	Peter Orbanz	[r2]
47	Simon Osindero	[j5] [j4] [j1]
48	Gerald Quon	[c26]
49	Vinayak Rao	[c46] [i9] [c39] [c38] [c32]
50	Michal Rosen-Zvi	[c12]
51	Sam T. Roweis	[c8] [c7]
52	Daniel M. Roy	[i10] [c25] [c19]
53	Yunus Saatci	[c29]
54	Ricardo Silva	[j11] [i1]
55	Padhraic Smyth	[i7] [c30]
56	Kyung-Ah Sohn	[c16]
57	D. M. Titterington (D. Mike Titterington)	[j10]
58	Grace Vesom	[c11]
59	Max Welling	[i11] [i7] [i6] [i5] [c41] [c30] [c23] [c21] [c18] [j5] [c15] [c14] [j3] [c12] [j2] [j1] [c9] [c6] [c4]
60	Ryan White	[c13]
61	Frank Wood	[j12] [c37] [j7] [c34] [c28]
62	Eric P. Xing	[c16]

Colors in the list of coauthors

Last update Fri May 24 16:17:25 2013 CET by the DBLP Team —

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