Michael I. Jordan

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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 Distinguished Researcher, GoogleAdresse 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
Yair WeissProfessor of Computer Science, Hebrew UniversityAdresse e-mail validée de mail.huji.ac.il
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UAdresse e-mail validée de cs.cmu.edu
Erik B. SudderthProfessor of Computer Science, UC IrvineAdresse e-mail validée de uci.edu
Benjamin RechtAssociate Professor of EECS, University of California, BerkeleyAdresse e-mail validée de eecs.berkeley.edu
Jon McAuliffeProfessor (Adj.) of Statistics, University of California, BerkeleyAdresse e-mail validée de stat.berkeley.edu
XuanLong NguyenUniversity of MichiganAdresse e-mail validée de umich.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
Ion StoicaProfessor of Computer Science, UC BerkeleyAdresse e-mail validée de cs.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 the Journal of machine Learning research 3, 993-1022, 2003	37128	2003
On spectral clustering: Analysis and an algorithm A Ng, M Jordan, Y Weiss Advances in neural information processing systems 14, 849-856, 2001	9559	2001
Adaptive mixtures of local experts RA Jacobs, MI Jordan, SJ Nowlan, GE Hinton Neural computation 3 (1), 79-87, 1991	4525	1991
Hierarchical dirichlet processes YW Teh, MI Jordan, MJ Beal, DM Blei Journal of the american statistical association 101 (476), 1566-1581, 2006	4512*	2006
Graphical models, exponential families, and variational inference MJ Wainwright, MI Jordan Now Publishers Inc, 2008	4210	2008
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37 (2), 183-233, 1999	4116	1999
Hierarchical mixtures of experts and the EM algorithm MI Jordan, RA Jacobs Neural computation 6 (2), 181-214, 1994	3640	1994
Distance metric learning with application to clustering with side-information EP Xing, AY Ng, MI Jordan, S Russell NIPS 15 (505–512), 12, 2002	3471	2002
An internal model for sensorimotor integration DM Wolpert, Z Ghahramani, MI Jordan Science 269 (5232), 1880-1882, 1995	3404	1995
Trust region policy optimization J Schulman, S Levine, P Abbeel, M Jordan, P Moritz International conference on machine learning, 1889-1897, 2015	3343	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	2864	2004
Optimal feedback control as a theory of motor coordination E Todorov, MI Jordan Nature neuroscience 5 (11), 1226-1235, 2002	2820	2002
An introduction to MCMC for machine learning C Andrieu, N De Freitas, A Doucet, MI Jordan Machine learning 50 (1), 5-43, 2003	2769	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	2753	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	2522	2004
Machine learning: Trends, perspectives, and prospects MI Jordan, TM Mitchell Science 349 (6245), 255-260, 2015	2501	2015
Learning transferable features with deep adaptation networks M Long, Y Cao, J Wang, M Jordan International conference on machine learning, 97-105, 2015	2212	2015
Learning in graphical models MI Jordan Springer Science & Business Media, 1998	2200	1998
Active learning with statistical models DA Cohn, Z Ghahramani, MI Jordan Journal of artificial intelligence research 4, 129-145, 1996	2188	1996
Kernel independent component analysis FR Bach, MI Jordan Journal of machine learning research 3 (Jul), 1-48, 2002	2186	2002

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