Michael I. Jordan

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	Toutes	Depuis 2015
Citations	192781	98530
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Coauteurs

Martin WainwrightProfessor of EECS and Statistics, UC BerkeleyAdresse e-mail validée de berkeley.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityAdresse e-mail validée de columbia.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Chief Scientist, UberAdresse e-mail validée de eng.cam.ac.uk
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyAdresse e-mail validée de cs.berkeley.edu
Francis BachInria - Ecole Normale SupérieureAdresse e-mail validée de inria.fr
Robert JacobsProfessor of Brain and Cognitive Sciences, University of RochesterAdresse e-mail validée de bcs.rochester.edu
Gert LanckrietProfessor, UCSDAdresse e-mail validée de eng.ucsd.edu
David PattersonProfessor of Computer Science, UC BerkeleyAdresse e-mail validée de cs.berkeley.edu
Lawrence K SaulProfessor of Computer Science and Engineering, UC San DiegoAdresse e-mail validée de cs.ucsd.edu
Mingsheng LongAssociate Professor, Tsinghua UniversityAdresse e-mail validée de tsinghua.edu.cn
John DuchiAssistant Professor of Statistics and Electrical Engineering, Stanford UniversityAdresse e-mail validée de stanford.edu
Eric XingProfessor of Machine Learning, Language Technology, Computer Science, Cargenie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Erik B. SudderthProfessor of Computer Science, UC IrvineAdresse e-mail validée de uci.edu
Jon McAuliffeProfessor (Adj.) of Statistics, University of California, BerkeleyAdresse e-mail validée de stat.berkeley.edu
Yair WeissProfessor of Computer Science, Hebrew UniversityAdresse e-mail validée de mail.huji.ac.il
XuanLong NguyenUniversity of MichiganAdresse e-mail validée de umich.edu
Daniel WolpertProfessor of Neuroscience, Columbia UniversityAdresse e-mail validée de columbia.edu
Ameet TalwalkarCMU and Determined AIAdresse e-mail validée de cmu.edu
Tamara BroderickAssociate Professor of EECS, Massachusetts Institute of TechnologyAdresse e-mail validée de csail.mit.edu
Benjamin RechtAssociate Professor of EECS, University of California, BerkeleyAdresse e-mail validée de eecs.berkeley.edu

Michael I. Jordan

Professor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley

Adresse e-mail validée de cs.berkeley.edu - Page d'accueil

machine learning computer science statistics artificial intelligence optimization


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Latent dirichlet allocation DM Blei, AY Ng, MI Jordan Journal of machine Learning research 3 (Jan), 993-1022, 2003	34316	2003
On spectral clustering: Analysis and an algorithm AY Ng, MI Jordan, Y Weiss Advances in neural information processing systems, 849-856, 2002	8935	2002
Adaptive mixtures of local experts RA Jacobs, MI Jordan, SJ Nowlan, GE Hinton Neural computation 3 (1), 79-87, 1991	4353	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	4323	2005
Graphical models, exponential families, and variational inference MJ Wainwright, MI Jordan Now Publishers Inc, 2008	3906	2008
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37 (2), 183-233, 1999	3828	1999
Hierarchical mixtures of experts and the EM algorithm MI Jordan, RA Jacobs Neural computation 6 (2), 181-214, 1994	3535	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	3284	2003
An internal model for sensorimotor integration DM Wolpert, Z Ghahramani, MI Jordan Science 269 (5232), 1880-1882, 1995	3284	1995
Trust region policy optimization J Schulman, S Levine, P Abbeel, M Jordan, P Moritz International conference on machine learning, 1889-1897, 2015	2777	2015
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	2757	2004
Optimal feedback control as a theory of motor coordination E Todorov, MI Jordan Nature neuroscience 5 (11), 1226-1235, 2002	2709	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	2627	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	2604	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	2434	2004
Learning in graphical models MI Jordan Springer Science & Business Media, 1998	2304	1998
Kernel independent component analysis FR Bach, MI Jordan Journal of machine learning research 3 (Jul), 1-48, 2002	2092	2002
Machine learning: Trends, perspectives, and prospects MI Jordan, TM Mitchell Science 349 (6245), 255-260, 2015	2077	2015
Active learning with statistical models DA Cohn, Z Ghahramani, MI Jordan Journal of artificial intelligence research 4, 129-145, 1996	2069	1996
Loopy belief propagation for approximate inference: An empirical study K Murphy, Y Weiss, MI Jordan arXiv preprint arXiv:1301.6725, 2013	1990	2013

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