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DBLP keys2010
180Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLCharles A. Sutton, Michael I. Jordan: Bayesian Inference in Queueing Networks CoRR abs/1001.3355: (2010)
179Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDavid M. Blei, Thomas L. Griffiths, Michael I. Jordan: The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies. J. ACM 57(2): (2010)
2009
178Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLZhihua Zhang, Guang Dai, Michael I. Jordan: A Flexible and Efficient Algorithm for Regularized Fisher Discriminant Analysis. ECML/PKDD (2) 2009: 632-647
177Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLArchana Ganapathi, Harumi A. Kuno, Umeshwar Dayal, Janet L. Wiener, Armando Fox, Michael I. Jordan, David A. Patterson: Predicting Multiple Metrics for Queries: Better Decisions Enabled by Machine Learning. ICDE 2009: 592-603
176Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLWei Xu, Ling Huang, Armando Fox, David Patterson, Michael I. Jordan: Online System Problem Detection by Mining Patterns of Console Logs. ICDM 2009: 588-597
175Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPercy Liang, Michael I. Jordan, Dan Klein: Learning from measurements in exponential families. ICML 2009: 81
174Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDonghui Yan, Ling Huang, Michael I. Jordan: Fast approximate spectral clustering. KDD 2009: 907-916
173Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael I. Jordan: Combinatorial stochastic processes and nonparametric Bayesian modeling. SODA 2009: 139
172Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLWei Xu, Ling Huang, Armando Fox, David A. Patterson, Michael I. Jordan: Detecting large-scale system problems by mining console logs. SOSP 2009: 117-132
171Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJunming Yin, Michael I. Jordan, Yun S. Song: Joint estimation of gene conversion rates and mean conversion tract lengths from population SNP data. Bioinformatics 25(12): (2009)
2008
170Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLChris H. Q. Ding, Tao Li, Michael I. Jordan: Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding. ICDM 2008: 183-192
169Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEmily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky: An HDP-HMM for systems with state persistence. ICML 2008: 312-319
168Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPercy Liang, Michael I. Jordan: An asymptotic analysis of generative, discriminative, and pseudolikelihood estimators. ICML 2008: 584-591
167Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLGuillaume Obozinski, Martin J. Wainwright, Michael I. Jordan: High-dimensional support union recovery in multivariate regression. NIPS 2008: 1217-1224
166Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLErik B. Sudderth, Michael I. Jordan: Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes. NIPS 2008: 1585-1592
165Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAlexandre Bouchard-Côté, Michael I. Jordan, Dan Klein: Efficient Inference in Phylogenetic InDel Trees. NIPS 2008: 177-184
164Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLZhihua Zhang, Michael I. Jordan, Dit-Yan Yeung: Posterior Consistency of the Silverman g-prior in Bayesian Model Choice. NIPS 2008: 1969-1976
163Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEmily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky: Nonparametric Bayesian Learning of Switching Linear Dynamical Systems. NIPS 2008: 457-464
162Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLLing Huang, Donghui Yan, Michael I. Jordan, Nina Taft: Spectral Clustering with Perturbed Data. NIPS 2008: 705-712
161Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSimon Lacoste-Julien, Fei Sha, Michael I. Jordan: DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification. NIPS 2008: 897-904
160Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSriram Sankararaman, Gad Kimmel, Eran Halperin, Michael I. Jordan: On the Inference of Ancestries in Admixed Populations. RECOMB 2008: 424-433
159Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLWei Xu, Ling Huang, Armando Fox, David A. Patterson, Michael I. Jordan: Mining Console Logs for Large-Scale System Problem Detection. SysML 2008
158Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLCharles A. Sutton, Michael I. Jordan: Probabilistic Inference in Queueing Networks. SysML 2008
157Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKurt T. Miller, Thomas L. Griffiths, Michael I. Jordan: The Phylogenetic Indian Buffet Process: A Non-Exchangeable Nonparametric Prior for Latent Features. UAI 2008: 403-410
156Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLXuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan: Estimating divergence functionals and the likelihood ratio by convex risk minimization CoRR abs/0809.0853: (2008)
155Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMartin J. Wainwright, Michael I. Jordan: Graphical Models, Exponential Families, and Variational Inference. Foundations and Trends in Machine Learning 1(1-2): 1-305 (2008)
154Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLXuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan: On Optimal Quantization Rules for Some Problems in Sequential Decentralized Detection. IEEE Transactions on Information Theory 54(7): 3285-3295 (2008)
2007
153Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael I. Jordan: Statistical Machine Learning and Computational Biology. BIBM 2007: 4
152Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJyri J. Kivinen, Erik B. Sudderth, Michael I. Jordan: Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes. ICCV 2007: 1-8
151Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTao Li, Chris H. Q. Ding, Michael I. Jordan: Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization. ICDM 2007: 577-582
150Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJyri J. Kivinen, Erik B. Sudderth, Michael I. Jordan: Image Denoising with Nonparametric Hidden Markov Trees. ICIP (3) 2007: 121-124
149Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPercy Liang, Michael I. Jordan, Benjamin Taskar: A permutation-augmented sampler for DP mixture models. ICML 2007: 545-552
148Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJens Nilsson, Fei Sha, Michael I. Jordan: Regression on manifolds using kernel dimension reduction. ICML 2007: 697-704
147Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLLing Huang, XuanLong Nguyen, Minos N. Garofalakis, Joseph M. Hellerstein, Michael I. Jordan, Anthony D. Joseph, Nina Taft: Communication-Efficient Online Detection of Network-Wide Anomalies. INFOCOM 2007: 134-142
146Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPercy Liang, Dan Klein, Michael I. Jordan: Agreement-Based Learning. NIPS 2007
145Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLXuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan: Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization. NIPS 2007
144Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLBen Blum, Michael I. Jordan, David Kim, Rhiju Das, Philip Bradley, David Baker: Feature Selection Methods for Improving Protein Structure Prediction with Rosetta. NIPS 2007
143Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEric P. Xing, Michael I. Jordan, Roded Sharan: Bayesian Haplotype Inference via the Dirichlet Process. Journal of Computational Biology 14(3): 267-284 (2007)
2006
142Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSimon Lacoste-Julien, Benjamin Taskar, Dan Klein, Michael I. Jordan: Word Alignment via Quadratic Assignment. HLT-NAACL 2006
141Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEric 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
140Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAlice X. Zheng, Michael I. Jordan, Ben Liblit, Mayur Naik, Alex Aiken: Statistical debugging: simultaneous identification of multiple bugs. ICML 2006: 1105-1112
139Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLBarbara E. Engelhardt, Michael I. Jordan, Steven E. Brenner: A graphical model for predicting protein molecular function. ICML 2006: 297-304
138Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLLing Huang, XuanLong Nguyen, Minos N. Garofalakis, Michael I. Jordan, Anthony D. Joseph, Nina Taft: In-Network PCA and Anomaly Detection. NIPS 2006: 617-624
137Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLZhihua Zhang, Michael I. Jordan: Bayesian Multicategory Support Vector Machines. UAI 2006
136Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDavid M. Blei, K. Franks, Michael I. Jordan, I. Saira Mian: Statistical modeling of biomedical corpora: mining the Caenorhabditis Genetic Center Bibliography for genes related to life span. BMC Bioinformatics 7: 250 (2006)
135Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLXuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan: On optimal quantization rules for some sequential decision problems CoRR abs/math/0608556: (2006)
134Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMartin J. Wainwright, Michael I. Jordan: Log-determinant relaxation for approximate inference in discrete Markov random fields. IEEE Transactions on Signal Processing 54(6-1): 2099-2109 (2006)
133Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLBenjamin Taskar, Simon Lacoste-Julien, Michael I. Jordan: Structured Prediction, Dual Extragradient and Bregman Projections. Journal of Machine Learning Research 7: 1627-1653 (2006)
132Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLFrancis R. Bach, Michael I. Jordan: Learning Spectral Clustering, With Application To Speech Separation. Journal of Machine Learning Research 7: 1963-2001 (2006)
131Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJon D. McAuliffe, David M. Blei, Michael I. Jordan: Nonparametric empirical Bayes for the Dirichlet process mixture model. Statistics and Computing 16(1): 5-14 (2006)
2005
130Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPeter Bodík, Greg Friedman, Lukas Biewald, Helen Levine, George Candea, Kayur Patel, Gilman Tolle, Jonathan Hui, Armando Fox, Michael I. Jordan, David A. Patterson: Combining Visualization and Statistical Analysis to Improve Operator Confidence and Efficiency for Failure Detection and Localization. ICAC 2005: 89-100
129Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLFrancis R. Bach, Michael I. Jordan: Predictive low-rank decomposition for kernel methods. ICML 2005: 33-40
128Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLXuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan: Divergences, surrogate loss functions and experimental design. NIPS 2005
127Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPatrick Flaherty, Michael I. Jordan, Adam P. Arkin: Robust design of biological experiments. NIPS 2005
126Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLBenjamin Taskar, Simon Lacoste-Julien, Michael I. Jordan: Structured Prediction via the Extragradient Method. NIPS 2005
125Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLBen Liblit, Mayur Naik, Alice X. Zheng, Alexander Aiken, Michael I. Jordan: Scalable statistical bug isolation. PLDI 2005: 15-26
124Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichal Rosen-Zvi, Michael I. Jordan, Alan L. Yuille: The DLR Hierarchy of Approximate Inference. UAI 2005: 493-500
123Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPatrick Flaherty, Guri Giaever, Jochen Kumm, Michael I. Jordan, Adam P. Arkin: A latent variable model for chemogenomic profiling. Bioinformatics 21(15): 3286-3293 (2005)
122Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLXuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan: On divergences, surrogate loss functions, and decentralized detection CoRR abs/math/0510521: (2005)
121Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLXuanLong Nguyen, Michael I. Jordan, Bruno Sinopoli: A kernel-based learning approach to ad hoc sensor network localization. TOSN 1(1): 134-152 (2005)
2004
120Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLNeil D. Lawrence, John C. Platt, Michael I. Jordan: Extensions of the Informative Vector Machine. Deterministic and Statistical Methods in Machine Learning 2004: 56-87
119Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMike Y. Chen, Alice X. Zheng, Jim Lloyd, Michael I. Jordan, Eric A. Brewer: Failure Diagnosis Using Decision Trees. ICAC 2004: 36-43
118Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEric P. Xing, Roded Sharan, Michael I. Jordan: Bayesian haplo-type inference via the dirichlet process. ICML 2004
117Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLXuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan: Decentralized detection and classification using kernel methods. ICML 2004
116Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLFrancis R. Bach, Gert R. G. Lanckriet, Michael I. Jordan: Multiple kernel learning, conic duality, and the SMO algorithm. ICML 2004
115Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDavid M. Blei, Michael I. Jordan: Variational methods for the Dirichlet process. ICML 2004
114Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAlexandre d'Aspremont, Laurent El Ghaoui, Michael I. Jordan, Gert R. G. Lanckriet: A Direct Formulation for Sparse PCA Using Semidefinite Programming. NIPS 2004
113Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLFrancis R. Bach, Michael I. Jordan: Blind One-microphone Speech Separation: A Spectral Learning Approach. NIPS 2004
112Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLFrancis R. Bach, Romain Thibaux, Michael I. Jordan: Computing regularization paths for learning multiple kernels. NIPS 2004
111Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLNeil D. Lawrence, Michael I. Jordan: Semi-supervised Learning via Gaussian Processes. NIPS 2004
110Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLYee Whye Teh, Michael I. Jordan, Matthew J. Beal, David M. Blei: Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes. NIPS 2004
109Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLGert R. G. Lanckriet, Minghua Deng, Nello Cristianini, Michael I. Jordan, William Stafford Noble: Kernel-Based Data Fusion and Its Application to Protein Function Prediction in Yeast. Pacific Symposium on Biocomputing 2004: 300-311
108Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEric P. Xing, Michael I. Jordan: Graph Partition Strategies for Generalized Mean Field Inference. UAI 2004: 602-610
107Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJon D. McAuliffe, Lior Pachter, Michael I. Jordan: Multiple-sequence functional annotation and the generalized hidden Markov phylogeny. Bioinformatics 20(12): 1850-1860 (2004)
106Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLGert R. G. Lanckriet, Tijl De Bie, Nello Cristianini, Michael I. Jordan, William Stafford Noble: A statistical framework for genomic data fusion. Bioinformatics 20(16): 2626-2635 (2004)
105Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAlexandre d'Aspremont, Laurent El Ghaoui, Michael I. Jordan, Gert R. G. Lanckriet: A direct formulation for sparse PCA using semidefinite programming CoRR cs.CE/0406021: (2004)
104Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEric P. Xing, Wei Wu, Michael I. Jordan, Richard M. Karp: Logos: a Modular Bayesian Model for de Novo Motif Detection. J. Bioinformatics and Computational Biology 2(1): 127-154 (2004)
103Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLChiranjib Bhattacharyya, L. R. Grate, Michael I. Jordan, Laurent El Ghaoui, I. Saira Mian: Robust Sparse Hyperplane Classifiers: Application to Uncertain Molecular Profiling Data. Journal of Computational Biology 11(6): 1073-1089 (2004)
102Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLGert R. G. Lanckriet, Nello Cristianini, Peter L. Bartlett, Laurent El Ghaoui, Michael I. Jordan: Learning the Kernel Matrix with Semidefinite Programming. Journal of Machine Learning Research 5: 27-72 (2004)
101Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKenji Fukumizu, Francis R. Bach, Michael I. Jordan: Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces. Journal of Machine Learning Research 5: 73-99 (2004)
2003
100Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEric P. Xing, Wei Wu, Michael I. Jordan, Richard M. Karp: LOGOS: a modular Bayesian model for de novo motif detection. CSB 2003: 266-276
99Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLFernando De Bernardinis, Michael I. Jordan, Alberto L. Sangiovanni-Vincentelli: Support vector machines for analog circuit performance representation. DAC 2003: 964-969
98Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAndrew Y. Ng, H. Jin Kim, Michael I. Jordan, Shankar Sastry: Autonomous Helicopter Flight via Reinforcement Learning. NIPS 2003
97Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDavid M. Blei, Thomas L. Griffiths, Michael I. Jordan, Joshua B. Tenenbaum: Hierarchical Topic Models and the Nested Chinese Restaurant Process. NIPS 2003
96Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKenji Fukumizu, Francis R. Bach, Michael I. Jordan: Kernel Dimensionality Reduction for Supervised Learning. NIPS 2003
95Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPeter L. Bartlett, Michael I. Jordan, Jon D. McAuliffe: Large Margin Classifiers: Convex Loss, Low Noise, and Convergence Rates. NIPS 2003
94Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLFrancis R. Bach, Michael I. Jordan: Learning Spectral Clustering. NIPS 2003
93Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLXuanLong Nguyen, Michael I. Jordan: On the Concentration of Expectation and Approximate Inference in Layered Networks. NIPS 2003
92Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMartin J. Wainwright, Michael I. Jordan: Semidefinite Relaxations for Approximate Inference on Graphs with Cycles. NIPS 2003
91Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAlice X. Zheng, Michael I. Jordan, Ben Liblit, Alexander Aiken: Statistical Debugging of Sampled Programs. NIPS 2003
90Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLBen Liblit, Alexander Aiken, Alice X. Zheng, Michael I. Jordan: Bug isolation via remote program sampling. PLDI 2003: 141-154
89Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDavid M. Blei, Michael I. Jordan: Modeling annotated data. SIGIR 2003: 127-134
88no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEric P. Xing, Michael I. Jordan, Stuart J. Russell: A generalized mean field algorithm for variational inference in exponential families. UAI 2003: 583-591
87Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKobus Barnard, Pinar Duygulu, David A. Forsyth, Nando de Freitas, David M. Blei, Michael I. Jordan: Matching Words and Pictures. Journal of Machine Learning Research 3: 1107-1135 (2003)
86Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDavid M. Blei, Andrew Y. Ng, Michael I. Jordan: Latent Dirichlet Allocation. Journal of Machine Learning Research 3: 993-1022 (2003)
85Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLFrancis R. Bach, Michael I. Jordan: Beyond Independent Components: Trees and Clusters. Journal of Machine Learning Research 4: 1205-1233 (2003)
84no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLChristophe Andrieu, Nando de Freitas, Arnaud Doucet, Michael I. Jordan: An Introduction to MCMC for Machine Learning. Machine Learning 50(1-2): 5-43 (2003)
83Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLChiranjib Bhattacharyya, L. R. Grate, A. Rizki, D. Radisky, F. J. Molina, Michael I. Jordan, Mina J. Bissell, I. Saira Mian: Simultaneous classification and relevant feature identification in high-dimensional spaces: application to molecular profiling data. Signal Processing 83(4): 729-743 (2003)
2002
82no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLGert R. G. Lanckriet, Nello Cristianini, Peter L. Bartlett, Laurent El Ghaoui, Michael I. Jordan: Learning the Kernel Matrix with Semi-Definite Programming. ICML 2002: 323-330
81Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLFrancis R. Bach, Michael I. Jordan: Learning Graphical Models with Mercer Kernels. NIPS 2002: 1009-1016
80Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEric P. Xing, Michael I. Jordan, Richard M. Karp, Stuart J. Russell: A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences. NIPS 2002: 1489-1496
79Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEmanuel Todorov, Michael I. Jordan: A Minimal Intervention Principle for Coordinated Movement. NIPS 2002: 27-34
78Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEric P. Xing, Andrew Y. Ng, Michael I. Jordan, Stuart J. Russell: Distance Metric Learning with Application to Clustering with Side-Information. NIPS 2002: 505-512
77Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLGert R. G. Lanckriet, Laurent El Ghaoui, Michael I. Jordan: Robust Novelty Detection with Single-Class MPM. NIPS 2002: 905-912
76no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLFrancis R. Bach, Michael I. Jordan: Tree-dependent Component Analysis. UAI 2002: 36-44
75no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSekhar Tatikonda, Michael I. Jordan: Loopy Belief Propogation and Gibbs Measures. UAI 2002: 493-500
74Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLL. R. Grate, Chiranjib Bhattacharyya, Michael I. Jordan, I. Saira Mian: Simultaneous Relevant Feature Identification and Classification in High-Dimensional Spaces. WABI 2002: 1-9
73Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLFrancis R. Bach, Michael I. Jordan: Kernel Independent Component Analysis. Journal of Machine Learning Research 3: 1-48 (2002)
72Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLGert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya, Michael I. Jordan: A Robust Minimax Approach to Classification. Journal of Machine Learning Research 3: 555-582 (2002)
71Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael I. Jordan, Terrence J. Sejnowski: Graphical Models: Foundations of Neural Computation. Pattern Anal. Appl. 5(4): 401-402 (2002)
2001
70no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAndrew Y. Ng, Michael I. Jordan: Convergence rates of the Voting Gibbs classifier, with application to Bayesian feature selection. ICML 2001: 377-384
69no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLEric P. Xing, Michael I. Jordan, Richard M. Karp: Feature selection for high-dimensional genomic microarray data. ICML 2001: 601-608
68no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAndrew Y. Ng, Alice X. Zheng, Michael I. Jordan: Link Analysis, Eigenvectors and Stability. IJCAI 2001: 903-910
67Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLFrancis R. Bach, Michael I. Jordan: Thin Junction Trees. NIPS 2001: 569-576
66Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDavid M. Blei, Andrew Y. Ng, Michael I. Jordan: Latent Dirichlet Allocation. NIPS 2001: 601-608
65Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLGert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya, Michael I. Jordan: Minimax Probability Machine. NIPS 2001: 801-807
64Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAndrew Y. Ng, Michael I. Jordan: On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes. NIPS 2001: 841-848
63Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAndrew Y. Ng, Michael I. Jordan, Yair Weiss: On Spectral Clustering: Analysis and an algorithm. NIPS 2001: 849-856
62no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAlice X. Zheng, Andrew Y. Ng, Michael I. Jordan: Stable Algorithms for Link Analysis. SIGIR 2001: 258-266
61Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAmol Deshpande, Minos N. Garofalakis, Michael I. Jordan: Efficient Stepwise Selection in Decomposable Models. UAI 2001: 128-135
60no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJinwen Ma, Lei Xu, Michael I. Jordan: Asymptotic Convergence Rate of the EM Algorithm for Gaussian Mixtures. Neural Computation 12(12): 2881-2907 (2001)
2000
59Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAndrew Y. Ng, Michael I. Jordan: PEGASUS: A policy search method for large MDPs and POMDPs. UAI 2000: 406-415
58Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMarina Meila, Michael I. Jordan: Learning with Mixtures of Trees. Journal of Machine Learning Research 1: 1-48 (2000)
57no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLLawrence K. Saul, Michael I. Jordan: Attractor Dynamics in Feedforward Neural Networks. Neural Computation 12(6): 1313-1335 (2000)
1999
56Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLAndrew Y. Ng, Michael I. Jordan: Approximate Inference A lgorithms for Two-Layer Bayesian Networks. NIPS 1999: 533-539
55Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLKevin P. Murphy, Yair Weiss, Michael I. Jordan: Loopy Belief Propagation for Approximate Inference: An Empirical Study. UAI 1999: 467-475
54Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTommi Jaakkola, Michael I. Jordan: Variational Probabilistic Inference and the QMR-DT Network. J. Artif. Intell. Res. (JAIR) 10: 291-322 (1999)
53no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLLawrence K. Saul, Michael I. Jordan: Mixed Memory Markov Models: Decomposing Complex Stochastic Processes as Mixtures of Simpler Ones. Machine Learning 37(1): 75-87 (1999)
52no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael I. Jordan, Zoubin Ghahramani, Tommi Jaakkola, Lawrence K. Saul: An Introduction to Variational Methods for Graphical Models. Machine Learning 37(2): 183-233 (1999)
1998
51no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael I. Jordan, Michael J. Kearns, Sara A. Solla: Advances in Neural Information Processing Systems 10, [NIPS Conference, Denver, Colorado, USA, 1997] The MIT Press 1998
50Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLThomas Hofmann, Jan Puzicha, Michael I. Jordan: Learning from Dyadic Data. NIPS 1998: 466-472
49Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLNeil D. Lawrence, Christopher M. Bishop, Michael I. Jordan: Mixture Representations for Inference and Learning in Boltzmann Machines. UAI 1998: 320-327
1997
48no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael Mozer, Michael I. Jordan, Thomas Petsche: Advances in Neural Information Processing Systems 9, NIPS, Denver, CO, USA, December 2-5, 1996 MIT Press 1997
47no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLJohn F. Houde, Michael I. Jordan: Adaptation in Speech Motor Control. NIPS 1997
46no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLChristopher M. Bishop, Neil D. Lawrence, Tommi Jaakkola, Michael I. Jordan: Approximating Posterior Distributions in Belief Networks Using Mixtures. NIPS 1997
45no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMarina Meila, Michael I. Jordan: Estimating Dependency Structure as a Hidden Variable. NIPS 1997
44no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael I. Jordan, Christopher M. Bishop: Neural Networks. The Computer Science and Engineering Handbook 1997: 536-556
43no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLZoubin Ghahramani, Michael I. Jordan: Factorial Hidden Markov Models. Machine Learning 29(2-3): 245-273 (1997)
42Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPadhraic Smyth, David Heckerman, Michael I. Jordan: Probabilistic Independence Networks for Hidden Markov Probability Models. Neural Computation 9(2): 227-269 (1997)
1996
41Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLLawrence K. Saul, Michael I. Jordan: A Variational Principle for Model-based Morphing. NIPS 1996: 267-273
40Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTommi Jaakkola, Michael I. Jordan: Recursive Algorithms for Approximating Probabilities in Graphical Models. NIPS 1996: 487-493
39Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael I. Jordan, Zoubin Ghahramani, Lawrence K. Saul: Hidden Markov Decision Trees. NIPS 1996: 501-507
38Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMarina Meila, Michael I. Jordan: Triangulation by Continuous Embedding. NIPS 1996: 557-563
37Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTommi Jaakkola, Michael I. Jordan: Computing upper and lower bounds on likelihoods in intractable networks. UAI 1996: 340-348
36no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael I. Jordan, Christopher M. Bishop: Neural Networks. ACM Comput. Surv. 28(1): 73-75 (1996)
35Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLLawrence K. Saul, Tommi Jaakkola, Michael I. Jordan: Mean Field Theory for Sigmoid Belief Networks CoRR cs.AI/9603102: (1996)
34Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDavid A. Cohn, Zoubin Ghahramani, Michael I. Jordan: Active Learning with Statistical Models CoRR cs.AI/9603104: (1996)
33no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDavid A. Cohn, Zoubin Ghahramani, Michael I. Jordan: Active Learning with Statistical Models. J. Artif. Intell. Res. (JAIR) 4: 129-145 (1996)
32no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLLawrence K. Saul, Tommi Jaakkola, Michael I. Jordan: Mean Field Theory for Sigmoid Belief Networks. J. Artif. Intell. Res. (JAIR) 4: 61-76 (1996)
1995
31Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMarina Meila, Michael I. Jordan: Learning Fine Motion by Markov Mixtures of Experts. NIPS 1995: 1003-1009
30Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLPhilip N. Sabes, Michael I. Jordan: Reinforcement Learning by Probability Matching. NIPS 1995: 1080-1086
29Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLZoubin Ghahramani, Michael I. Jordan: Factorial Hidden Markov Models. NIPS 1995: 472-478
28Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLLawrence K. Saul, Michael I. Jordan: Exploiting Tractable Substructures in Intractable Networks. NIPS 1995: 486-492
27Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTommi Jaakkola, Lawrence K. Saul, Michael I. Jordan: Fast Learning by Bounding Likelihoods in Sigmoid Type Belief Networks. NIPS 1995: 528-534
26Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael I. Jordan, Lei Xu: Convergence results for the EM approach to mixtures of experts architectures. Neural Networks 8(9): 1409-1431 (1995)
1994
25Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael I. Jordan: A Statistical Approach to Decision Tree Modeling. COLT 1994: 13-20
24no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSatinder P. Singh, Tommi Jaakkola, Michael I. Jordan: Learning Without State-Estimation in Partially Observable Markovian Decision Processes. ICML 1994: 284-292
23no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael I. Jordan: A Statistical Approach to Decision Tree Modeling. ICML 1994: 363-370
22Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLZoubin Ghahramani, Daniel M. Wolpert, Michael I. Jordan: Computational Structure of coordinate transformations: A generalization study. NIPS 1994: 1125-1132
21Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTommi Jaakkola, Satinder P. Singh, Michael I. Jordan: Reinforcement Learning Algorithm for Partially Observable Markov Decision Problems. NIPS 1994: 345-352
20Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSatinder P. Singh, Tommi Jaakkola, Michael I. Jordan: Reinforcement Learning with Soft State Aggregation. NIPS 1994: 361-368
19Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDaniel M. Wolpert, Zoubin Ghahramani, Michael I. Jordan: Forward dynamic models in human motor control: Psychophysical evidence. NIPS 1994: 43-50
18Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLLawrence K. Saul, Michael I. Jordan: Boltzmann Chains and Hidden Markov Models. NIPS 1994: 435-442
17Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLLei Xu, Michael I. Jordan, Geoffrey E. Hinton: An Alternative Model for Mixtures of Experts. NIPS 1994: 633-640
16Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDavid A. Cohn, Zoubin Ghahramani, Michael I. Jordan: Active Learning with Statistical Models. NIPS 1994: 705-712
15Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael I. Jordan, Robert A. Jacobs: Hierarchical Mixtures of Experts and the EM Algorithm. Neural Computation 6(2): 181-214 (1994)
14Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLLawrence K. Saul, Michael I. Jordan: Learning in Boltzmann Trees. Neural Computation 6(6): 1174-1184 (1994)
13Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTommi Jaakkola, Michael I. Jordan, Satinder P. Singh: On the Convergence of Stochastic Iterative Dynamic Programming Algorithms. Neural Computation 6(6): 1185-1201 (1994)
1993
12no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael I. Jordan, Robert A. Jacobs: Supervised Learning and Divide-and-Conquer: A Statistical Approach. ICML 1993: 159-166
11no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRobert A. Jacobs, Michael I. Jordan, Andrew G. Barto: Task Decompostiion Through Competition in a Modular Connectionist Architecture: The What and Where Vision Tasks. Machine Learning: From Theory to Applications 1993: 175-202
10Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLZoubin Ghahramani, Michael I. Jordan: Supervised learning from incomplete data via an EM approach. NIPS 1993: 120-127
9Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLTommi Jaakkola, Michael I. Jordan, Satinder P. Singh: Convergence of Stochastic Iterative Dynamic Programming Algorithms. NIPS 1993: 703-710
1992
8Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDaphne Bavelier, Michael I. Jordan: A Dynamical Model of Priming and Repetition Blindness. NIPS 1992: 879-886
7no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael I. Jordan, David E. Rumelhart: Forward Models: Supervised Learning with a Distal Teacher. Cognitive Science 16(3): 307-354 (1992)
1991
6no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael I. Jordan, David E. Rumelhart: Internal World Models and Supervised Learning. ML 1991: 70-74
5Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMakoto Hirayama, Eric Vatikiotis-Bateson, Mitsuo Kawato, Michael I. Jordan: Forward Dynamics Modeling of Speech Motor Control Using Physiological Data. NIPS 1991: 191-198
4Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael I. Jordan, Robert A. Jacobs: Hierarchies of Adaptive Experts. NIPS 1991: 985-992
3no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRobert A. Jacobs, Michael I. Jordan, Andrew G. Barto: Task Decomposition Through Competition in a Modular Connectionist Architecture: The What and Where Vision Tasks. Cognitive Science 15(2): 219-250 (1991)
1990
2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLRobert A. Jacobs, Michael I. Jordan: A Competitive Modular Connectionist Architecture. NIPS 1990: 767-773
1989
1Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMichael I. Jordan, Robert A. Jacobs: Learning to Control an Unstable System with Forward Modeling. NIPS 1989: 324-331

Coauthor Index

1Alexander Aiken (Alex Aiken) [90] [91] [125] [140]
2Christophe Andrieu [84]
3Adam P. Arkin [123] [127]
4Francis R. Bach (Francis Bach) [67] [73] [76] [81] [85] [94] [96] [101] [112] [113] [116] [129] [132]
5David Baker [144]
6Kobus Barnard [87]
7Peter L. Bartlett [82] [95] [102]
8Andrew G. Barto [3] [11]
9Daphne Bavelier [8]
10Matthew J. Beal [110]
11Fernando De Bernardinis [99]
12Chiranjib Bhattacharyya (Chiru Bhattacharyya) [65] [72] [74] [83] [103]
13Tijl De Bie [106]
14Lukas Biewald [130]
15Christopher M. Bishop [36] [44] [46] [49]
16Mina J. Bissell [83]
17David M. Blei [66] [86] [87] [89] [97] [110] [115] [131] [136] [179]
18Ben Blum [144]
19Peter Bodík [130]
20Alexandre Bouchard-Côté [165]
21Philip Bradley [144]
22Steven E. Brenner [139]
23Eric A. Brewer [119]
24George Candea [130]
25Mike Y. Chen [119]
26David A. Cohn [16] [33] [34]
27Nello Cristianini [82] [102] [106] [109]
28Guang Dai [178]
29Rhiju Das [144]
30Umeshwar Dayal [177]
31Minghua Deng [109]
32Amol Deshpande [61]
33Chris H. Q. Ding (Hong Q. Ding) [151] [170]
34Arnaud Doucet [84]
35Pinar Duygulu [87]
36Barbara E. Engelhardt [139]
37Patrick Flaherty [123] [127]
38David A. Forsyth [87]
39Armando Fox [130] [159] [172] [176] [177]
40Emily B. Fox [163] [169]
41K. Franks [136]
42Nando de Freitas [84] [87]
43Greg Friedman [130]
44Kenji Fukumizu [96] [101]
45Archana Ganapathi [177]
46Minos N. Garofalakis [61] [138] [147]
47Zoubin Ghahramani [10] [16] [19] [22] [29] [33] [34] [39] [43] [52]
48Laurent El Ghaoui [65] [72] [77] [82] [102] [103] [105] [114]
49Guri Giaever [123]
50L. R. Grate [74] [83] [103]
51Thomas L. Griffiths [97] [157] [179]
52Eran Halperin [160]
53David Heckerman [42]
54Joseph M. Hellerstein [147]
55Geoffrey E. Hinton [17]
56Makoto Hirayama [5]
57Thomas Hofmann [50]
58John F. Houde [47]
59Ling Huang [138] [147] [159] [162] [172] [174] [176]
60Jonathan Hui [130]
61Tommi Jaakkola [9] [13] [20] [21] [24] [27] [32] [35] [37] [40] [46] [52] [54]
62Robert A. Jacobs [1] [2] [3] [4] [11] [12] [15]
63Anthony D. Joseph [138] [147]
64Richard M. Karp [69] [80] [100] [104]
65Mitsuo Kawato [5]
66Michael J. Kearns [51]
67David Kim [144]
68H. Jin Kim [98]
69Gad Kimmel [160]
70Jyri J. Kivinen [150] [152]
71Dan Klein [142] [146] [165] [175]
72Jochen Kumm [123]
73Harumi A. Kuno [177]
74Simon Lacoste-Julien [126] [133] [142] [161]
75Gert R. G. Lanckriet [65] [72] [77] [82] [102] [105] [106] [109] [114] [116]
76Neil D. Lawrence [46] [49] [111] [120]
77Helen Levine [130]
78Tao Li [151] [170]
79Percy Liang [146] [149] [168] [175]
80Ben Liblit [90] [91] [125] [140]
81Jim Lloyd [119]
82Jinwen Ma [60]
83Jon D. McAuliffe [95] [107] [131]
84Marina Meila [31] [38] [45] [58]
85I. Saira Mian [74] [83] [103] [136]
86Kurt T. Miller [157]
87F. J. Molina [83]
88Michael C. Mozer (Michael Mozer) [48]
89Kevin P. Murphy [55]
90Mayur Naik [125] [140]
91Andrew Y. Ng [56] [59] [62] [63] [64] [66] [68] [70] [78] [86] [98]
92XuanLong Nguyen [93] [117] [121] [122] [128] [135] [138] [145] [147] [154] [156]
93Jens Nilsson [148]
94William Stafford Noble [106] [109]
95Guillaume Obozinski [167]
96Lior Pachter [107]
97Kayur Patel [130]
98David Patterson [176]
99David A. Patterson [130] [159] [172] [177]
100Thomas Petsche [48]
101John C. Platt [120]
102Jan Puzicha [50]
103D. Radisky [83]
104A. Rizki [83]
105Michal Rosen-Zvi [124]
106David E. Rumelhart [6] [7]
107Stuart J. Russell [78] [80] [88]
108Philip N. Sabes [30]
109Alberto L. Sangiovanni-Vincentelli [99]
110Sriram Sankararaman [160]
111Shankar Sastry (Shankar S. Sastry) [98]
112Lawrence K. Saul [14] [18] [27] [28] [32] [35] [39] [41] [52] [53] [57]
113Terrence J. Sejnowski [71]
114Fei Sha [148] [161]
115Roded Sharan [118] [143]
116Satinder P. Singh [9] [13] [20] [21] [24]
117Bruno Sinopoli [121]
118Padhraic Smyth [42]
119Kyung-Ah Sohn [141]
120Sara A. Solla [51]
121Yun S. Song [171]
122Erik B. Sudderth [150] [152] [163] [166] [169]
123Charles A. Sutton [158] [180]
124Nina Taft (Nina Taft Plotkin) [138] [147] [162]
125Benjamin Taskar (Ben Taskar) [126] [133] [142] [149]
126Sekhar Tatikonda [75]
127Yee Whye Teh [110] [141]
128Joshua B. Tenenbaum [97]
129Romain Thibaux [112]
130Emanuel Todorov [79]
131Gilman Tolle [130]
132Eric Vatikiotis-Bateson [5]
133Martin J. Wainwright [92] [117] [122] [128] [134] [135] [145] [154] [155] [156] [167]
134Yair Weiss [55] [63]
135Janet L. Wiener [177]
136Alan S. Willsky [163] [169]
137Daniel M. Wolpert [19] [22]
138Wei Wu [100] [104]
139Eric P. Xing [69] [78] [80] [88] [100] [104] [108] [118] [141] [143]
140Lei Xu [17] [26] [60]
141Wei Xu [159] [172] [176]
142Donghui Yan [162] [174]
143Dit-Yan Yeung [164]
144Junming Yin [171]
145Alan L. Yuille [124]
146Zhihua Zhang [137] [164] [178]
147Alice X. Zheng [62] [68] [90] [91] [119] [125] [140]
148Alexandre d'Aspremont [105] [114]

Colors in the list of coauthors

Copyright © Fri Mar 12 12:56:28 2010 by Michael Ley (ley@uni-trier.de)