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
John DuchiAssistant Professor of Statistics and Electrical Engineering, Stanford UniversityVerified email at stanford.edu
Eric XingProfessor of Machine Learning, Language Technology, Computer Science, Cargenie Mellon UniversityVerified email at cs.cmu.edu
Jon McAuliffeProfessor (Adj.) of Statistics, University of California, BerkeleyVerified email at stat.berkeley.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
Daniel WolpertProfessor of Neuroscience, Columbia UniversityVerified email at columbia.edu
Mingsheng LongAssociate 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
Tamara BroderickAssociate Professor of EECS, Massachusetts Institute of TechnologyVerified email at csail.mit.edu
Stuart RussellProfessor of Computer Science, University of California, BerkeleyVerified email at cs.berkeley.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	30640	2003
On spectral clustering: Analysis and an algorithm AY Ng, MI Jordan, Y Weiss Advances in neural information processing systems, 849-856, 2002	8265	2002
Adaptive mixtures of local experts RA Jacobs, MI Jordan, SJ Nowlan, GE Hinton Neural computation 3 (1), 79-87, 1991	4143	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	4008	2005
Graphical models, exponential families, and variational inference MJ Wainwright, MI Jordan Foundations and Trends® in Machine Learning 1 (1–2), 1-305, 2008	3536	2008
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37 (2), 183-233, 1999	3473	1999
Hierarchical mixtures of experts and the EM algorithm MI Jordan, RA Jacobs Neural computation 6 (2), 181-214, 1994	3392	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	3102	2003
An internal model for sensorimotor integration DM Wolpert, Z Ghahramani, MI Jordan Science 269 (5232), 1880-1882, 1995	3084	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	2667	2004
Optimal feedback control as a theory of motor coordination E Todorov, MI Jordan Nature neuroscience 5 (11), 1226-1235, 2002	2509	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	2405	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	2335	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	2311	2004
Learning in graphical models MI Jordan Springer Science & Business Media, 1998	2167	1998
Kernel independent component analysis FR Bach, MI Jordan Journal of machine learning research 3 (Jul), 1-48, 2002	1982	2002
Trust region policy optimization J Schulman, S Levine, P Abbeel, M Jordan, P Moritz International conference on machine learning, 1889-1897, 2015	1963	2015
Active learning with statistical models DA Cohn, Z Ghahramani, MI Jordan Journal of artificial intelligence research 4, 129-145, 1996	1934	1996
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	1912	2003
Loopy belief propagation for approximate inference: An empirical study K Murphy, Y Weiss, MI Jordan arXiv preprint arXiv:1301.6725, 2013	1899	2013

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