Michael I. Jordan

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Martin WainwrightProfessor of EECS and Statistics, UC BerkeleyVerifierad e-postadress på berkeley.edu
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
Gert LanckrietProfessor, UCSDVerifierad e-postadress på eng.ucsd.edu
Ion StoicaProfessor of Computer Science, UC BerkeleyVerifierad e-postadress på cs.berkeley.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 RechtAssociate Professor 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
Erik B. SudderthProfessor of Computer Science, UC IrvineVerifierad e-postadress på uci.edu
Tamara BroderickAssociate Professor of EECS, Massachusetts Institute of TechnologyVerifierad e-postadress på mit.edu
Ameet TalwalkarCMUVerifierad e-postadress på cmu.edu
Pieter AbbeelUC Berkeley | Covariant.AIVerifierad e-postadress på cs.berkeley.edu

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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	46405	2003
On spectral clustering: Analysis and an algorithm A Ng, M Jordan, Y Weiss Advances in neural information processing systems 14, 2001	11388	2001
Trust region policy optimization J Schulman, S Levine, P Abbeel, M Jordan, P Moritz International conference on machine learning, 1889-1897, 2015	6138	2015
Machine learning: Trends, perspectives, and prospects MI Jordan, TM Mitchell Science 349 (6245), 255-260, 2015	5704	2015
Adaptive mixtures of local experts RA Jacobs, MI Jordan, SJ Nowlan, GE Hinton Neural computation 3 (1), 79-87, 1991	5285	1991
Sharing clusters among related groups: Hierarchical Dirichlet processes Y Teh, M Jordan, M Beal, D Blei Advances in neural information processing systems 17, 2004	5040	2004
Graphical models, exponential families, and variational inference MJ Wainwright, MI Jordan Foundations and Trends® in Machine Learning 1 (1–2), 1-305, 2008	4957	2008
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37, 183-233, 1999	4901	1999
Learning transferable features with deep adaptation networks M Long, Y Cao, J Wang, M Jordan International conference on machine learning, 97-105, 2015	4316	2015
Hierarchical mixtures of experts and the EM algorithm MI Jordan, RA Jacobs Neural computation 6 (2), 181-214, 1994	4016	1994
An internal model for sensorimotor integration DM Wolpert, Z Ghahramani, MI Jordan Science 269 (5232), 1880-1882, 1995	3889	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	3845	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	3326	2002
An introduction to MCMC for machine learning C Andrieu, N De Freitas, A Doucet, MI Jordan Machine learning 50, 5-43, 2003	3266	2003
Optimal feedback control as a theory of motor coordination E Todorov, MI Jordan Nature neuroscience 5 (11), 1226-1235, 2002	3242	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	3019	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	2776	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	2500	2015
Kernel independent component analysis FR Bach, MI Jordan Journal of machine learning research 3 (Jul), 1-48, 2002	2391	2002
Loopy belief propagation for approximate inference: An empirical study K Murphy, Y Weiss, MI Jordan arXiv preprint arXiv:1301.6725, 2013	2254	2013

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