Zoubin Ghahramani

	2009
99		Oliver Stegle, Katherine J. Denby, David L. Wild, Stuart McHattie, Andrew Meade, Zoubin Ghahramani, Karsten M. Borgwardt: Discovering Temporal Patterns of Differential Gene Expression in Microarray Time Series. GCB 2009: 133-142
98		Ryan Prescott Adams, Zoubin Ghahramani: Archipelago: nonparametric Bayesian semi-supervised learning. ICML 2009: 1
97		Finale Doshi-Velez, Zoubin Ghahramani: Accelerated sampling for the Indian Buffet Process. ICML 2009: 35
96		Oliver Stegle, Katherine J. Denby, David L. Wild, Zoubin Ghahramani, Karsten M. Borgwardt: A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series. RECOMB 2009: 201-216
95		Richard S. Savage, Katherine A. Heller, Yang Xu, Zoubin Ghahramani, William M. Truman, Murray Grant, Katherine J. Denby, David L. Wild: R/BHC: fast Bayesian hierarchical clustering for microarray data. BMC Bioinformatics 10: (2009)
94		Karsten M. Borgwardt, Zoubin Ghahramani: Bayesian two-sample tests CoRR abs/0906.4032: (2009)
93		Ricardo Silva, Katherine A. Heller, Zoubin Ghahramani, Edoardo M. Airoldi: Ranking Relations using Analogies in Biological and Information Networks CoRR abs/0912.5193: (2009)
92		Ramin Zabih, Zoubin Ghahramani, Jiri Matas: Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell. 31(6): 961-963 (2009)
91		Ramin Zabih, Jiri Matas, Zoubin Ghahramani: Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell. 31(8): 1345-1346 (2009)
90		Carl Edward Rasmussen, Bernard de la Cruz, Zoubin Ghahramani, David L. Wild: Modeling and Visualizing Uncertainty in Gene Expression Clusters Using Dirichlet Process Mixtures. IEEE/ACM Trans. Comput. Biology Bioinform. 6(4): 615-628 (2009)
	2008
89		Zoubin Ghahramani: Bayesian Methods for Artificial Intelligence and Machine Learning. ECAI 2008: 8
88		Christian Hübler, Hans-Peter Kriegel, Karsten M. Borgwardt, Zoubin Ghahramani: Metropolis Algorithms for Representative Subgraph Sampling. ICDM 2008: 283-292
87		Jurgen Van Gael, Yunus Saatci, Yee Whye Teh, Zoubin Ghahramani: Beam sampling for the infinite hidden Markov model. ICML 2008: 1088-1095
86		Katherine A. Heller, Sinead Williamson, Zoubin Ghahramani: Statistical models for partial membership. ICML 2008: 392-399
85		Shakir Mohamed, Katherine A. Heller, Zoubin Ghahramani: Bayesian Exponential Family PCA. NIPS 2008: 1089-1096
84		Jurgen Van Gael, Yee Whye Teh, Zoubin Ghahramani: The Infinite Factorial Hidden Markov Model. NIPS 2008: 1697-1704
83		Hyun-Chul Kim, Zoubin Ghahramani: Outlier Robust Gaussian Process Classification. SSPR/SPR 2008: 896-905
82		David J. Kriegman, David J. Fleet, Zoubin Ghahramani: Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell. 30(12): 2065-2066 (2008)
81		JaeMo Sung, Zoubin Ghahramani, Sung Yang Bang: Latent-Space Variational Bayes. IEEE Trans. Pattern Anal. Mach. Intell. 30(12): 2236-2242 (2008)
80		David J. Kriegman, David J. Fleet, Zoubin Ghahramani: Editorial-State of the Transactions. IEEE Trans. Pattern Anal. Mach. Intell. 30(2): 193-194 (2008)
79		David J. Kriegman, David J. Fleet, Zoubin Ghahramani: Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell. 30(4): 561 (2008)
78		David J. Kriegman, David J. Fleet, Zoubin Ghahramani: Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell. 30(9): 1505-1506 (2008)
77		Jian Zhang, Zoubin Ghahramani, Yiming Yang: Flexible latent variable models for multi-task learning. Machine Learning 73(3): 221-242 (2008)
	2007
76		Zoubin Ghahramani: Machine Learning, Proceedings of the Twenty-Fourth International Conference (ICML 2007), Corvalis, Oregon, USA, June 20-24, 2007 ACM 2007
75		David Knowles, Zoubin Ghahramani: Infinite Sparse Factor Analysis and Infinite Independent Components Analysis. ICA 2007: 381-388
74		Ricardo Silva, Wei Chu, Zoubin Ghahramani: Hidden Common Cause Relations in Relational Learning. NIPS 2007
	2006
73		Arik Azran, Zoubin Ghahramani: Spectral Methods for Automatic Multiscale Data Clustering. CVPR (1) 2006: 190-197
72		Katherine A. Heller, Zoubin Ghahramani: A Simple Bayesian Framework for Content-Based Image Retrieval. CVPR (2) 2006: 2110-2117
71		Arik Azran, Zoubin Ghahramani: A new approach to data driven clustering. ICML 2006: 57-64
70		Hyun-Chul Kim, Daijin Kim, Zoubin Ghahramani, Sung Yang Bang: Gender Classification with Bayesian Kernel Methods. IJCNN 2006: 3371-3376
69		Wei Chu, Vikas Sindhwani, Zoubin Ghahramani, S. Sathiya Keerthi: Relational Learning with Gaussian Processes. NIPS 2006: 289-296
68		Edward Meeds, Zoubin Ghahramani, Radford M. Neal, Sam T. Roweis: Modeling Dyadic Data with Binary Latent Factors. NIPS 2006: 977-984
67		Wei Chu, Zoubin Ghahramani, Roland Krause, David L. Wild: Identifying Protein Complexes in High-Throughput Protein Interaction Screens Using an Infinite Latent Feature Model. Pacific Symposium on Biocomputing 2006: 231-242
66		Frank Wood, Thomas L. Griffiths, Zoubin Ghahramani: A Non-Parametric Bayesian Method for Inferring Hidden Causes. UAI 2006
65		Ricardo Silva, Zoubin Ghahramani: Bayesian Inference for Gaussian Mixed Graph Models. UAI 2006
64		Iain Murray, Zoubin Ghahramani, David J. C. MacKay: MCMC for Doubly-intractable Distributions. UAI 2006
63		Edward Snelson, Zoubin Ghahramani: Variable Noise and Dimensionality Reduction for Sparse Gaussian processes. UAI 2006
62		Hyun-Chul Kim, Zoubin Ghahramani: Bayesian Gaussian Process Classification with the EM-EP Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 28(12): 1948-1959 (2006)
61		Wei Chu, Zoubin Ghahramani, Alexei A. Podtelezhnikov, David L. Wild: Bayesian Segmental Models with Multiple Sequence Alignment Profiles for Protein Secondary Structure and Contact Map Prediction. IEEE/ACM Trans. Comput. Biology Bioinform. 3(2): 98-113 (2006)
60		Hyun-Chul Kim, Daijin Kim, Zoubin Ghahramani, Sung Yang Bang: Appearance-based gender classification with Gaussian processes. Pattern Recognition Letters 27(6): 618-626 (2006)
	2005
59		JaeMo Sung, Sung Yang Bang, Seungjin Choi, Zoubin Ghahramani: U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models. ECML 2005: 377-388
58		Wei Chu, Zoubin Ghahramani: Preference learning with Gaussian processes. ICML 2005: 137-144
57		Katherine A. Heller, Zoubin Ghahramani: Bayesian hierarchical clustering. ICML 2005: 297-304
56		Edward Snelson, Zoubin Ghahramani: Compact approximations to Bayesian predictive distributions. ICML 2005: 840-847
55		Zoubin Ghahramani, Katherine A. Heller: Bayesian Sets. NIPS 2005
54		Tom Griffiths, Zoubin Ghahramani: Infinite latent feature models and the Indian buffet process. NIPS 2005
53		Jian Zhang, Zoubin Ghahramani, Yiming Yang: Learning Multiple Related Tasks using Latent Independent Component Analysis. NIPS 2005
52		Iain Murray, David J. C. MacKay, Zoubin Ghahramani, John Skilling: Nested sampling for Potts models. NIPS 2005
51		Edward Snelson, Zoubin Ghahramani: Sparse Gaussian Processes using Pseudo-inputs. NIPS 2005
50		Wei Chu, Zoubin Ghahramani, Francesco Falciani, David L. Wild: Biomarker discovery in microarray gene expression data with Gaussian processes. Bioinformatics 21(16): 3385-3393 (2005)
49		Matthew J. Beal, Francesco Falciani, Zoubin Ghahramani, Claudia Rangel, David L. Wild: A Bayesian approach to reconstructing genetic regulatory networks with hidden factors. Bioinformatics 21(3): 349-356 (2005)
48		Wei Chu, Zoubin Ghahramani: Gaussian Processes for Ordinal Regression. Journal of Machine Learning Research 6: 1019-1041 (2005)
	2004
47		Wei Chu, Zoubin Ghahramani, David L. Wild: Protein secondary structure prediction using sigmoid belief networks to parameterize segmental semi-Markov models. ESANN 2004: 81-86
46		Wei Chu, Zoubin Ghahramani, David L. Wild: A graphical model for protein secondary structure prediction. ICML 2004
45		Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picard, Zoubin Ghahramani: Predictive automatic relevance determination by expectation propagation. ICML 2004
44		Jian Zhang, Zoubin Ghahramani, Yiming Yang: A Probabilistic Model for Online Document Clustering with Application to Novelty Detection. NIPS 2004
43		Xiaojin Zhu, Jaz S. Kandola, Zoubin Ghahramani, John D. Lafferty: Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning. NIPS 2004
42		Philip E. Bourne, C. K. J. Allerston, Werner G. Krebs, Wilfred W. Li, Ilya N. Shindyalov, Adam Godzik, Iddo Friedberg, Tong Liu, David L. Wild, Seungwoo Hwang, Zoubin Ghahramani, Li Chen, John D. Westbrook: The Status of Structural Genomics Defined Through the Analysis of Current Targets and Structures. Pacific Symposium on Biocomputing 2004: 375-386
41		Ananya Dubey, Seungwoo Hwang, Claudia Rangel, Carl Edward Rasmussen, Zoubin Ghahramani, David L. Wild: Clustering Protein Sequence and Structure Space with Infinite Gaussian Mixture Models. Pacific Symposium on Biocomputing 2004: 399-410
40		Iain Murray, Zoubin Ghahramani: Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms. UAI 2004: 392-399
39		Claudia Rangel, John Angus, Zoubin Ghahramani, Maria Lioumi, Elizabeth Sotheran, Alessia Gaiba, David L. Wild, Francesco Falciani: Modeling T-cell activation using gene expression profiling and state-space models. Bioinformatics 20(9): 1361-1372 (2004)
38		Sebastian Thrun, Yufeng Liu, Daphne Koller, Andrew Y. Ng, Zoubin Ghahramani, Hugh F. Durrant-Whyte: Simultaneous Localization and Mapping with Sparse Extended Information Filters. I. J. Robotic Res. 23(7-8): 693-716 (2004)
	2003
37		Zoubin Ghahramani: Unsupervised Learning. Advanced Lectures on Machine Learning 2003: 72-112
36		Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani: Optimization with EM and Expectation-Conjugate-Gradient. ICML 2003: 672-679
35		Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty: Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions. ICML 2003: 912-919
34		Edward Snelson, Carl Edward Rasmussen, Zoubin Ghahramani: Warped Gaussian Processes. NIPS 2003
33		Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani: On the Convergence of Bound Optimization Algorithms. UAI 2003: 509-516
	2002
32		Carl Edward Rasmussen, Zoubin Ghahramani: Bayesian Monte Carlo. NIPS 2002: 489-496
31		Rong Jin, Zoubin Ghahramani: Learning with Multiple Labels. NIPS 2002: 897-904
30		A. Raval, Zoubin Ghahramani, David L. Wild: A Bayesian network model for protein fold and remote homologue recognition. Bioinformatics 18(6): 788-801 (2002)
29		Naonori Ueda, Zoubin Ghahramani: Bayesian model search for mixture models based on optimizing variational bounds. Neural Networks 15(10): 1223-1241 (2002)
	2001
28		Thomas G. Dietterich, Suzanna Becker, Zoubin Ghahramani: Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, NIPS 2001, December 3-8, 2001, Vancouver, British Columbia, Canada] MIT Press 2001
27		Matthew J. Beal, Zoubin Ghahramani, Carl Edward Rasmussen: The Infinite Hidden Markov Model. NIPS 2001: 577-584
26		Carl Edward Rasmussen, Zoubin Ghahramani: Infinite Mixtures of Gaussian Process Experts. NIPS 2001: 881-888
25		Zoubin Ghahramani: An Introduction to Hidden Markov Models and Bayesian Networks. IJPRAI 15(1): 9-42 (2001)
	2000
24		Nicholas J. Adams, Amos J. Storkey, Christopher K. I. Williams, Zoubin Ghahramani: MFDTs: Mean Field Dynamic Trees. ICPR 2000: 3151-3154
23		Carl Edward Rasmussen, Zoubin Ghahramani: Occam's Razor. NIPS 2000: 294-300
22		Zoubin Ghahramani, Matthew J. Beal: Propagation Algorithms for Variational Bayesian Learning. NIPS 2000: 507-513
21		Zoubin Ghahramani, Geoffrey E. Hinton: Variational Learning for Switching State-Space Models. Neural Computation 12(4): 831-864 (2000)
20		Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton: SMEM Algorithm for Mixture Models. Neural Computation 12(9): 2109-2128 (2000)
19		Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton: Split and Merge EM Algorithm for Improving Gaussian Mixture Density Estimates. VLSI Signal Processing 26(1-2): 133-140 (2000)
	1999
18		Zoubin Ghahramani, Matthew J. Beal: Variational Inference for Bayesian Mixtures of Factor Analysers. NIPS 1999: 449-455
17		Geoffrey E. Hinton, Zoubin Ghahramani, Yee Whye Teh: Learning to Parse Images. NIPS 1999: 463-469
16		Michael I. Jordan, Zoubin Ghahramani, Tommi Jaakkola, Lawrence K. Saul: An Introduction to Variational Methods for Graphical Models. Machine Learning 37(2): 183-233 (1999)
15		Sam T. Roweis, Zoubin Ghahramani: A Unifying Review of Linear Gaussian Models. Neural Computation 11(2): 305-345 (1999)
	1998
14		Zoubin Ghahramani, Sam T. Roweis: Learning Nonlinear Dynamical Systems Using an EM Algorithm. NIPS 1998: 431-437
13		Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton: SMEM Algorithm for Mixture Models. NIPS 1998: 599-605
	1997
12		Zoubin Ghahramani, Geoffrey E. Hinton: Hierarchical Non-linear Factor Analysis and Topographic Maps. NIPS 1997
11		Zoubin Ghahramani: Learning Dynamic Bayesian Networks. Summer School on Neural Networks 1997: 168-197
10		Zoubin Ghahramani, Michael I. Jordan: Factorial Hidden Markov Models. Machine Learning 29(2-3): 245-273 (1997)
	1996
9		Michael I. Jordan, Zoubin Ghahramani, Lawrence K. Saul: Hidden Markov Decision Trees. NIPS 1996: 501-507
8		David A. Cohn, Zoubin Ghahramani, Michael I. Jordan: Active Learning with Statistical Models CoRR cs.AI/9603104: (1996)
7		David A. Cohn, Zoubin Ghahramani, Michael I. Jordan: Active Learning with Statistical Models. J. Artif. Intell. Res. (JAIR) 4: 129-145 (1996)
	1995
6		Zoubin Ghahramani, Michael I. Jordan: Factorial Hidden Markov Models. NIPS 1995: 472-478
	1994
5		Zoubin Ghahramani, Daniel M. Wolpert, Michael I. Jordan: Computational Structure of coordinate transformations: A generalization study. NIPS 1994: 1125-1132
4		Daniel M. Wolpert, Zoubin Ghahramani, Michael I. Jordan: Forward dynamic models in human motor control: Psychophysical evidence. NIPS 1994: 43-50
3		Zoubin Ghahramani: Factorial Learning and the EM Algorithm. NIPS 1994: 617-624
2		David A. Cohn, Zoubin Ghahramani, Michael I. Jordan: Active Learning with Statistical Models. NIPS 1994: 705-712
	1993
1		Zoubin Ghahramani, Michael I. Jordan: Supervised learning from incomplete data via an EM approach. NIPS 1993: 120-127

Coauthor Index

1	Nicholas J. Adams	[24]
2	Ryan Prescott Adams	[98]
3	Edoardo Airoldi (Edoardo M. Airoldi)	[93]
4	C. K. J. Allerston	[42]
5	John Angus	[39]
6	Arik Azran	[71] [73]
7	Sung Yang Bang	[59] [60] [70] [81]
8	Matthew J. Beal	[18] [22] [27] [49]
9	Suzanna Becker	[28]
10	Karsten M. Borgwardt	[88] [94] [96] [99]
11	Philip E. Bourne	[42]
12	Li Chen	[42]
13	Seungjin Choi	[59]
14	Wei Chu	[46] [47] [48] [50] [58] [61] [67] [69] [74]
15	David A. Cohn	[2] [7] [8]
16	Bernard de la Cruz	[90]
17	Katherine J. Denby	[95] [96] [99]
18	Thomas G. Dietterich	[28]
19	Finale Doshi-Velez	[97]
20	Ananya Dubey	[41]
21	Hugh F. Durrant-Whyte	[38]
22	Francesco Falciani	[39] [49] [50]
23	David J. Fleet	[78] [79] [80] [82]
24	Iddo Friedberg	[42]
25	Jurgen Van Gael	[84] [87]
26	Alessia Gaiba	[39]
27	Adam Godzik	[42]
28	Murray Grant	[95]
29	Thomas L. Griffiths	[66]
30	Tom Griffiths	[54]
31	Katherine A. Heller	[55] [57] [72] [85] [86] [93] [95]
32	Geoffrey E. Hinton	[12] [13] [17] [19] [20] [21]
33	Christian Hübler	[88]
34	Seungwoo Hwang	[41] [42]
35	Tommi Jaakkola	[16]
36	Rong Jin	[31]
37	Michael I. Jordan	[1] [2] [4] [5] [6] [7] [8] [9] [10] [16]
38	Jaz S. Kandola	[43]
39	S. Sathiya Keerthi	[69]
40	Daijin Kim	[60] [70]
41	Hyun-Chul Kim	[60] [62] [70] [83]
42	David Knowles	[75]
43	Daphne Koller	[38]
44	Roland Krause	[67]
45	Werner G. Krebs	[42]
46	Hans-Peter Kriegel	[88]
47	David J. Kriegman	[78] [79] [80] [82]
48	John D. Lafferty	[35] [43]
49	Wilfred W. Li	[42]
50	Maria Lioumi	[39]
51	Tong Liu	[42]
52	Yufeng Liu	[38]
53	David J. C. MacKay	[52] [64]
54	Jiri Matas	[91] [92]
55	Stuart McHattie	[99]
56	Andrew Meade	[99]
57	Edward Meeds	[68]
58	Thomas P. Minka (Tom Minka)	[45]
59	Shakir Mohamed	[85]
60	Iain Murray	[40] [52] [64]
61	Ryohei Nakano	[13] [19] [20]
62	Radford M. Neal	[68]
63	Andrew Y. Ng	[38]
64	Rosalind W. Picard	[45]
65	Alexei A. Podtelezhnikov	[61]
66	Yuan (Alan) Qi	[45]
67	Claudia Rangel	[39] [41] [49]
68	Carl Edward Rasmussen	[23] [26] [27] [32] [34] [41] [90]
69	A. Raval	[30]
70	Sam T. Roweis	[14] [15] [33] [36] [68]
71	Yunus Saatci	[87]
72	Ruslan Salakhutdinov	[33] [36]
73	Lawrence K. Saul	[9] [16]
74	Richard S. Savage	[95]
75	Ilya N. Shindyalov	[42]
76	Ricardo Silva	[65] [74] [93]
77	Vikas Sindhwani	[69]
78	John Skilling	[52]
79	Edward Snelson	[34] [51] [56] [63]
80	Elizabeth Sotheran	[39]
81	Oliver Stegle	[96] [99]
82	Amos J. Storkey	[24]
83	JaeMo Sung	[59] [81]
84	Yee Whye Teh	[17] [84] [87]
85	Sebastian Thrun	[38]
86	William M. Truman	[95]
87	Naonori Ueda	[13] [19] [20] [29]
88	John D. Westbrook	[42]
89	David L. Wild	[30] [39] [41] [42] [46] [47] [49] [50] [61] [67] [90] [95] [96] [99]
90	Christopher K. I. Williams	[24]
91	Sinead Williamson	[86]
92	Daniel M. Wolpert	[4] [5]
93	Frank Wood	[66]
94	Yang Xu	[95]
95	Yiming Yang	[44] [53] [77]
96	Ramin Zabih	[91] [92]
97	Jian Zhang	[44] [53] [77]
98	Xiaojin Zhu	[35] [43]

Colors in the list of coauthors