Michael I. Jordan

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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
Mingsheng LongAssociate Professor, Tsinghua UniversityAdresse e-mail validée de tsinghua.edu.cn
David PattersonProfessor of Computer Science, UC BerkeleyAdresse e-mail validée de cs.berkeley.edu
Robert JacobsProfessor of Brain and Cognitive Sciences, University of RochesterAdresse e-mail validée de bcs.rochester.edu
Ion StoicaProfessor of Computer Science, UC BerkeleyAdresse e-mail validée de cs.berkeley.edu
Gert LanckrietProfessor, UCSDAdresse e-mail validée de eng.ucsd.edu
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford UniversityAdresse e-mail validée de stanford.edu
Lawrence K SaulSenior Research Scientist, Center for Computational Mathematics, Flatiron InstituteAdresse e-mail validée de flatironinstitute.org
Philipp MoritzGraduate Student, UC BerkeleyAdresse e-mail validée de berkeley.edu
Benjamin RechtProfessor of EECS, University of California, BerkeleyAdresse e-mail validée de eecs.berkeley.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UAdresse e-mail validée de cs.cmu.edu
XuanLong NguyenUniversity of MichiganAdresse e-mail validée de umich.edu
Tamara BroderickAssociate Professor of EECS, Massachusetts Institute of TechnologyAdresse e-mail validée de mit.edu
Erik B. SudderthProfessor of Computer Science, UC IrvineAdresse e-mail validée de uci.edu
Pieter AbbeelUC Berkeley | Covariant.AIAdresse e-mail validée de cs.berkeley.edu
Ameet TalwalkarCMUAdresse e-mail validée de cmu.edu
Yair WeissProfessor of Computer Science, Hebrew UniversityAdresse e-mail validée de mail.huji.ac.il

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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	50599	2003
On spectral clustering: Analysis and an algorithm A Ng, M Jordan, Y Weiss Advances in neural information processing systems 14, 2001	12081	2001
Machine learning: Trends, perspectives, and prospects MI Jordan, TM Mitchell Science 349 (6245), 255-260, 2015	7305	2015
Trust region policy optimization J Schulman, S Levine, P Abbeel, M Jordan, P Moritz International conference on machine learning, 1889-1897, 2015	7218	2015
Adaptive mixtures of local experts RA Jacobs, MI Jordan, SJ Nowlan, GE Hinton Neural computation 3 (1), 79-87, 1991	5597	1991
Graphical models, exponential families, and variational inference MJ Wainwright, MI Jordan Foundations and Trends® in Machine Learning 1 (1–2), 1-305, 2008	5249	2008
Sharing clusters among related groups: Hierarchical Dirichlet processes Y Teh, M Jordan, M Beal, D Blei Advances in neural information processing systems 17, 2004	5245	2004
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37, 183-233, 1999	5170	1999
Learning transferable features with deep adaptation networks M Long, Y Cao, J Wang, M Jordan International conference on machine learning, 97-105, 2015	5151	2015
Hierarchical mixtures of experts and the EM algorithm MI Jordan, RA Jacobs Neural computation 6 (2), 181-214, 1994	4140	1994
An internal model for sensorimotor integration DM Wolpert, Z Ghahramani, MI Jordan Science 269 (5232), 1880-1882, 1995	4084	1995
Distance metric learning with application to clustering with side-information E Xing, M Jordan, SJ Russell, A Ng Advances in neural information processing systems 15, 2002	3937	2002
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	3488	2002
An introduction to MCMC for machine learning C Andrieu, N De Freitas, A Doucet, MI Jordan Machine learning 50, 5-43, 2003	3425	2003
Optimal feedback control as a theory of motor coordination E Todorov, MI Jordan Nature neuroscience 5 (11), 1226-1235, 2002	3412	2002
High-dimensional continuous control using generalized advantage estimation J Schulman, P Moritz, S Levine, M Jordan, P Abbeel arXiv preprint arXiv:1506.02438, 2015	3073	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	3073	2004
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	2893	2004
Kernel independent component analysis FR Bach, MI Jordan Journal of machine learning research 3 (Jul), 1-48, 2002	2479	2002
Deep transfer learning with joint adaptation networks M Long, H Zhu, J Wang, MI Jordan International conference on machine learning, 2208-2217, 2017	2459	2017

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