Zoubin Ghahramani

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86EEZoubin Ghahramani: Bayesian Methods for Artificial Intelligence and Machine Learning. ECAI 2008: 8
85EEChristian Hübler, Hans-Peter Kriegel, Karsten M. Borgwardt, Zoubin Ghahramani: Metropolis Algorithms for Representative Subgraph Sampling. ICDM 2008: 283-292
84EEJurgen Van Gael, Yunus Saatci, Yee Whye Teh, Zoubin Ghahramani: Beam sampling for the infinite hidden Markov model. ICML 2008: 1088-1095
83EEKatherine A. Heller, Sinead Williamson, Zoubin Ghahramani: Statistical models for partial membership. ICML 2008: 392-399
82EEShakir Mohamed, Katherine A. Heller, Zoubin Ghahramani: Bayesian Exponential Family PCA. NIPS 2008: 1089-1096
81EEJurgen Van Gael, Yee Whye Teh, Zoubin Ghahramani: The Infinite Factorial Hidden Markov Model. NIPS 2008: 1697-1704
80EEHyun-Chul Kim, Zoubin Ghahramani: Outlier Robust Gaussian Process Classification. SSPR/SPR 2008: 896-905
79EEDavid J. Kriegman, David J. Fleet, Zoubin Ghahramani: Editorial-State of the Transactions. IEEE Trans. Pattern Anal. Mach. Intell. 30(2): 193-194 (2008)
78EEDavid J. Kriegman, David J. Fleet, Zoubin Ghahramani: Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell. 30(4): 561 (2008)
77EEJian Zhang, Zoubin Ghahramani, Yiming Yang: Flexible latent variable models for multi-task learning. Machine Learning 73(3): 221-242 (2008)
76 Zoubin Ghahramani: Machine Learning, Proceedings of the Twenty-Fourth International Conference (ICML 2007), Corvalis, Oregon, USA, June 20-24, 2007 ACM 2007
75EEDavid Knowles, Zoubin Ghahramani: Infinite Sparse Factor Analysis and Infinite Independent Components Analysis. ICA 2007: 381-388
74EERicardo Silva, Wei Chu, Zoubin Ghahramani: Hidden Common Cause Relations in Relational Learning. NIPS 2007
73EEArik Azran, Zoubin Ghahramani: Spectral Methods for Automatic Multiscale Data Clustering. CVPR (1) 2006: 190-197
72EEKatherine A. Heller, Zoubin Ghahramani: A Simple Bayesian Framework for Content-Based Image Retrieval. CVPR (2) 2006: 2110-2117
71EEArik Azran, Zoubin Ghahramani: A new approach to data driven clustering. ICML 2006: 57-64
70EEHyun-Chul Kim, Daijin Kim, Zoubin Ghahramani, Sung Yang Bang: Gender Classification with Bayesian Kernel Methods. IJCNN 2006: 3371-3376
69EEWei Chu, Vikas Sindhwani, Zoubin Ghahramani, S. Sathiya Keerthi: Relational Learning with Gaussian Processes. NIPS 2006: 289-296
68EEEdward Meeds, Zoubin Ghahramani, Radford M. Neal, Sam T. Roweis: Modeling Dyadic Data with Binary Latent Factors. NIPS 2006: 977-984
67EEWei 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
66EEFrank Wood, Thomas L. Griffiths, Zoubin Ghahramani: A Non-Parametric Bayesian Method for Inferring Hidden Causes. UAI 2006
65EERicardo Silva, Zoubin Ghahramani: Bayesian Inference for Gaussian Mixed Graph Models. UAI 2006
64EEIain Murray, Zoubin Ghahramani, David MacKay: MCMC for Doubly-intractable Distributions. UAI 2006
63EEEdward Snelson, Zoubin Ghahramani: Variable Noise and Dimensionality Reduction for Sparse Gaussian processes. UAI 2006
62EEHyun-Chul Kim, Zoubin Ghahramani: Bayesian Gaussian Process Classification with the EM-EP Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 28(12): 1948-1959 (2006)
61EEWei Chu, Zoubin Ghahramani, Alexei 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)
60EEHyun-Chul Kim, Daijin Kim, Zoubin Ghahramani, Sung Yang Bang: Appearance-based gender classification with Gaussian processes. Pattern Recognition Letters 27(6): 618-626 (2006)
59EEJaeMo Sung, Sung Yang Bang, Seungjin Choi, Zoubin Ghahramani: U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models. ECML 2005: 377-388
58EEWei Chu, Zoubin Ghahramani: Preference learning with Gaussian processes. ICML 2005: 137-144
57EEKatherine A. Heller, Zoubin Ghahramani: Bayesian hierarchical clustering. ICML 2005: 297-304
56EEEdward Snelson, Zoubin Ghahramani: Compact approximations to Bayesian predictive distributions. ICML 2005: 840-847
55EEZoubin Ghahramani, Katherine A. Heller: Bayesian Sets. NIPS 2005
54EETom Griffiths, Zoubin Ghahramani: Infinite latent feature models and the Indian buffet process. NIPS 2005
53EEJian Zhang, Zoubin Ghahramani, Yiming Yang: Learning Multiple Related Tasks using Latent Independent Component Analysis. NIPS 2005
52EEIain Murray, David MacKay, Zoubin Ghahramani, John Skilling: Nested sampling for Potts models. NIPS 2005
51EEEdward Snelson, Zoubin Ghahramani: Sparse Gaussian Processes using Pseudo-inputs. NIPS 2005
50EEWei Chu, Zoubin Ghahramani, Francesco Falciani, David L. Wild: Biomarker discovery in microarray gene expression data with Gaussian processes. Bioinformatics 21(16): 3385-3393 (2005)
49EEMatthew 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)
48EEWei Chu, Zoubin Ghahramani: Gaussian Processes for Ordinal Regression. Journal of Machine Learning Research 6: 1019-1041 (2005)
47EEWei Chu, Zoubin Ghahramani, David L. Wild: Protein secondary structure prediction using sigmoid belief networks to parameterize segmental semi-Markov models. ESANN 2004: 81-86
46EEWei Chu, Zoubin Ghahramani, David L. Wild: A graphical model for protein secondary structure prediction. ICML 2004
45EEYuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picard, Zoubin Ghahramani: Predictive automatic relevance determination by expectation propagation. ICML 2004
44EEJian Zhang, Zoubin Ghahramani, Yiming Yang: A Probabilistic Model for Online Document Clustering with Application to Novelty Detection. NIPS 2004
43EEXiaojin Zhu, Jaz S. Kandola, Zoubin Ghahramani, John D. Lafferty: Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning. NIPS 2004
42EEPhilip 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
41EEAnanya 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
40EEIain Murray, Zoubin Ghahramani: Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms. UAI 2004: 392-399
39EEClaudia 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)
38EESebastian 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)
37EEZoubin 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
34EEEdward 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
32EECarl Edward Rasmussen, Zoubin Ghahramani: Bayesian Monte Carlo. NIPS 2002: 489-496
31EERong 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)
29EENaonori Ueda, Zoubin Ghahramani: Bayesian model search for mixture models based on optimizing variational bounds. Neural Networks 15(10): 1223-1241 (2002)
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
27EEMatthew J. Beal, Zoubin Ghahramani, Carl Edward Rasmussen: The Infinite Hidden Markov Model. NIPS 2001: 577-584
26EECarl 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)
24EENicholas 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)
19EENaonori 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)
18EEZoubin Ghahramani, Matthew J. Beal: Variational Inference for Bayesian Mixtures of Factor Analysers. NIPS 1999: 449-455
17EEGeoffrey 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)
14EEZoubin Ghahramani, Sam T. Roweis: Learning Nonlinear Dynamical Systems Using an EM Algorithm. NIPS 1998: 431-437
13EENaonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton: SMEM Algorithm for Mixture Models. NIPS 1998: 599-605
12 Zoubin Ghahramani, Geoffrey E. Hinton: Hierarchical Non-linear Factor Analysis and Topographic Maps. NIPS 1997
11EEZoubin 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)
9EEMichael I. Jordan, Zoubin Ghahramani, Lawrence K. Saul: Hidden Markov Decision Trees. NIPS 1996: 501-507
8EEDavid 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)
6EEZoubin Ghahramani, Michael I. Jordan: Factorial Hidden Markov Models. NIPS 1995: 472-478
5EEZoubin Ghahramani, Daniel M. Wolpert, Michael I. Jordan: Computational Structure of coordinate transformations: A generalization study. NIPS 1994: 1125-1132
4EEDaniel M. Wolpert, Zoubin Ghahramani, Michael I. Jordan: Forward dynamic models in human motor control: Psychophysical evidence. NIPS 1994: 43-50
3EEZoubin Ghahramani: Factorial Learning and the EM Algorithm. NIPS 1994: 617-624
2EEDavid A. Cohn, Zoubin Ghahramani, Michael I. Jordan: Active Learning with Statistical Models. NIPS 1994: 705-712
1EEZoubin Ghahramani, Michael I. Jordan: Supervised learning from incomplete data via an EM approach. NIPS 1993: 120-127

Coauthor Index

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

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)