Michael I. Jordan - Google Scholar Citations

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Martin WainwrightProfessor of EECS and Statistics, UC BerkeleyVerified email at berkeley.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Chief Scientist, UberVerified email at eng.cam.ac.uk
Francis BachInria - Ecole Normale SupérieureVerified email at inria.fr
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Robert JacobsProfessor of Brain and Cognitive Sciences, University of RochesterVerified email at bcs.rochester.edu
Gert LanckrietProfessor, UCSDVerified email at eng.ucsd.edu
Lawrence K SaulProfessor of Computer Science and Engineering, UC San DiegoVerified email at cs.ucsd.edu
David PattersonProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Eric XingProfessor of Machine Learning, Language Technology, Computer Science, Cargenie Mellon UniversityVerified email at cs.cmu.edu
John DuchiAssistant Professor of Statistics and Electrical Engineering, Stanford UniversityVerified email at stanford.edu
Erik B. SudderthAssociate Professor of Computer Science, UC IrvineVerified email at uci.edu
Yair WeissProfessor of Computer Science, Hebrew UniversityVerified email at mail.huji.ac.il
Jon McAuliffeProfessor (Adj.) of Statistics, University of California, BerkeleyVerified email at stat.berkeley.edu
Daniel WolpertProfessor of Neuroscience, Columbia UniversityVerified email at columbia.edu
Mingsheng Long (龙明盛)Associate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
XuanLong NguyenUniversity of MichiganVerified email at umich.edu
Ameet TalwalkarCMU and Determined AIVerified email at cmu.edu
Stuart RussellProfessor of Computer Science, University of California, BerkeleyVerified email at cs.berkeley.edu
Tamara BroderickAssociate Professor of EECS, Massachusetts Institute of TechnologyVerified email at csail.mit.edu

Michael I. Jordan

Professor of EECS and Professor of Statistics, University of California, Berkeley

Verified email at cs.berkeley.edu - Homepage

machine learning statistics computational biology artificial intelligence optimization


Title	Cited by	Year
Latent dirichlet allocation DM Blei, AY Ng, MI Jordan Journal of machine Learning research 3 (Jan), 993-1022, 2003	29823	2003
On spectral clustering: Analysis and an algorithm AY Ng, MI Jordan, Y Weiss Advances in neural information processing systems, 849-856, 2002	8057	2002
Adaptive mixtures of local experts. RA Jacobs, MI Jordan, SJ Nowlan, GE Hinton Neural computation 3 (1), 79-87, 1991	4117	1991
Sharing clusters among related groups: Hierarchical Dirichlet processes YW Teh, MI Jordan, MJ Beal, DM Blei Advances in neural information processing systems, 1385-1392, 2005	3947	2005
Graphical models, exponential families, and variational inference MJ Wainwright, MI Jordan Foundations and Trends® in Machine Learning 1 (1–2), 1-305, 2008	3463	2008
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37 (2), 183-233, 1999	3410	1999
Hierarchical mixtures of experts and the EM algorithm MI Jordan, RA Jacobs Neural computation 6 (2), 181-214, 1994	3366	1994
Distance metric learning with application to clustering with side-information EP Xing, MI Jordan, SJ Russell, AY Ng Advances in neural information processing systems, 521-528, 2003	3049	2003
An internal model for sensorimotor integration DM Wolpert, Z Ghahramani, MI Jordan Science 269 (5232), 1880-1882, 1995	3041	1995
Learning the kernel matrix with semidefinite programming GRG Lanckriet, N Cristianini, P Bartlett, LE Ghaoui, MI Jordan Journal of Machine learning research 5 (Jan), 27-72, 2004	2638	2004
Optimal feedback control as a theory of motor coordination E Todorov, MI Jordan Nature neuroscience 5 (11), 1226, 2002	2458	2002
An introduction to MCMC for machine learning C Andrieu, N De Freitas, A Doucet, MI Jordan Machine learning 50 (1-2), 5-43, 2003	2337	2003
On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes A Ng, MI Jordan Advances in Neural Information Processing Systems 14, 841, 2002	2291	2002
Kalman filtering with intermittent observations B Sinopoli, L Schenato, M Franceschetti, K Poolla, MI Jordan, SS Sastry IEEE transactions on Automatic Control 49 (9), 1453-1464, 2004	2278	2004
Learning in graphical models MI Jordan Springer Science & Business Media, 1998	2252	1998
Kernel independent component analysis FR Bach, MI Jordan Journal of machine learning research 3 (Jul), 1-48, 2002	1969	2002
Matching words and pictures K Barnard, P Duygulu, D Forsyth, N Freitas, DM Blei, MI Jordan Journal of machine learning research 3 (Feb), 1107-1135, 2003	1903	2003
Active learning with statistical models DA Cohn, Z Ghahramani, MI Jordan Journal of artificial intelligence research 4, 129-145, 1996	1897	1996
Loopy belief propagation for approximate inference: An empirical study KP Murphy, Y Weiss, MI Jordan Proceedings of the Fifteenth conference on Uncertainty in artificial …, 1999	1866	1999
Forward models: Supervised learning with a distal teacher MI Jordan, DE Rumelhart Cognitive science 16 (3), 307-354, 1992	1823	1992

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