Michael I. Jordan

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David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerifierad e-postadress på columbia.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerifierad e-postadress på eng.cam.ac.uk
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerifierad e-postadress på cs.berkeley.edu
Francis BachInria - Ecole Normale SupérieureVerifierad e-postadress på inria.fr
Mingsheng LongAssociate Professor, Tsinghua UniversityVerifierad e-postadress på tsinghua.edu.cn
David PattersonProfessor of Computer Science, UC BerkeleyVerifierad e-postadress på cs.berkeley.edu
Robert JacobsProfessor of Brain and Cognitive Sciences, University of RochesterVerifierad e-postadress på bcs.rochester.edu
Ion StoicaProfessor of Computer Science, UC BerkeleyVerifierad e-postadress på cs.berkeley.edu
Gert LanckrietProfessor, UCSDVerifierad e-postadress på eng.ucsd.edu
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford UniversityVerifierad e-postadress på stanford.edu
Lawrence K SaulSenior Research Scientist, Center for Computational Mathematics, Flatiron InstituteVerifierad e-postadress på flatironinstitute.org
Philipp MoritzGraduate Student, UC BerkeleyVerifierad e-postadress på berkeley.edu
Benjamin RechtProfessor of EECS, University of California, BerkeleyVerifierad e-postadress på eecs.berkeley.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerifierad e-postadress på cs.cmu.edu
XuanLong NguyenUniversity of MichiganVerifierad e-postadress på umich.edu
Tamara BroderickAssociate Professor of EECS, Massachusetts Institute of TechnologyVerifierad e-postadress på mit.edu
Erik B. SudderthProfessor of Computer Science, UC IrvineVerifierad e-postadress på uci.edu
Pieter AbbeelUC Berkeley | Covariant.AIVerifierad e-postadress på cs.berkeley.edu
Ameet TalwalkarCMUVerifierad e-postadress på cmu.edu
Yair WeissProfessor of Computer Science, Hebrew UniversityVerifierad e-postadress på mail.huji.ac.il

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Michael I. Jordan

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

Verifierad e-postadress på cs.berkeley.edu - Startsida

machine learning computer science statistics artificial intelligence optimization


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Latent dirichlet allocation DM Blei, AY Ng, MI Jordan Journal of machine Learning research 3 (Jan), 993-1022, 2003	50598	2003
On spectral clustering: Analysis and an algorithm A Ng, M Jordan, Y Weiss Advances in neural information processing systems 14, 2001	12080	2001
Machine learning: Trends, perspectives, and prospects MI Jordan, TM Mitchell Science 349 (6245), 255-260, 2015	7281	2015
Trust region policy optimization J Schulman, S Levine, P Abbeel, M Jordan, P Moritz International conference on machine learning, 1889-1897, 2015	7210	2015
Adaptive mixtures of local experts RA Jacobs, MI Jordan, SJ Nowlan, GE Hinton Neural computation 3 (1), 79-87, 1991	5599	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	5167	1999
Learning transferable features with deep adaptation networks M Long, Y Cao, J Wang, M Jordan International conference on machine learning, 97-105, 2015	5145	2015
Hierarchical mixtures of experts and the EM algorithm MI Jordan, RA Jacobs Neural computation 6 (2), 181-214, 1994	4141	1994
An internal model for sensorimotor integration DM Wolpert, Z Ghahramani, MI Jordan Science 269 (5232), 1880-1882, 1995	4077	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	3938	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	3489	2002
An introduction to MCMC for machine learning C Andrieu, N De Freitas, A Doucet, MI Jordan Machine learning 50, 5-43, 2003	3426	2003
Optimal feedback control as a theory of motor coordination E Todorov, MI Jordan Nature neuroscience 5 (11), 1226-1235, 2002	3411	2002
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	3071	2004
High-dimensional continuous control using generalized advantage estimation J Schulman, P Moritz, S Levine, M Jordan, P Abbeel arXiv preprint arXiv:1506.02438, 2015	3070	2015
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	2891	2004
Kernel independent component analysis FR Bach, MI Jordan Journal of machine learning research 3 (Jul), 1-48, 2002	2478	2002
Deep transfer learning with joint adaptation networks M Long, H Zhu, J Wang, MI Jordan International conference on machine learning, 2208-2217, 2017	2454	2017

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