Michael I. Jordan

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	总计	2018 年至今
引用	260662	125261
h 指数	198	135
i10 指数	690	532

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David BleiProfessor of Statistics and Computer Science, Columbia University在 columbia.edu 的电子邮件经过验证
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, Google在 eng.cam.ac.uk 的电子邮件经过验证
Peter BartlettProfessor, EECS and Statistics, UC Berkeley在 cs.berkeley.edu 的电子邮件经过验证
Francis BachInria - Ecole Normale Supérieure在 inria.fr 的电子邮件经过验证
Mingsheng LongAssociate Professor, Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
David PattersonProfessor of Computer Science, UC Berkeley在 cs.berkeley.edu 的电子邮件经过验证
Robert JacobsProfessor of Brain and Cognitive Sciences, University of Rochester在 bcs.rochester.edu 的电子邮件经过验证
Ion StoicaProfessor of Computer Science, UC Berkeley在 cs.berkeley.edu 的电子邮件经过验证
Gert LanckrietProfessor, UCSD在 eng.ucsd.edu 的电子邮件经过验证
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford University在 stanford.edu 的电子邮件经过验证
Lawrence K SaulSenior Research Scientist, Center for Computational Mathematics, Flatiron Institute在 flatironinstitute.org 的电子邮件经过验证
Philipp MoritzGraduate Student, UC Berkeley在 berkeley.edu 的电子邮件经过验证
Benjamin RechtAssociate Professor of EECS, University of California, Berkeley在 eecs.berkeley.edu 的电子邮件经过验证
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon U在 cs.cmu.edu 的电子邮件经过验证
XuanLong NguyenUniversity of Michigan在 umich.edu 的电子邮件经过验证
Tamara BroderickAssociate Professor of EECS, Massachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
Erik B. SudderthProfessor of Computer Science, UC Irvine在 uci.edu 的电子邮件经过验证
Ameet TalwalkarCMU在 cmu.edu 的电子邮件经过验证
Pieter AbbeelUC Berkeley | Covariant.AI在 cs.berkeley.edu 的电子邮件经过验证
Yair WeissProfessor of Computer Science, Hebrew University在 mail.huji.ac.il 的电子邮件经过验证

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Michael I. Jordan

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

在 cs.berkeley.edu 的电子邮件经过验证 - 首页

machine learning computer science statistics artificial intelligence optimization


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Latent dirichlet allocation DM Blei, AY Ng, MI Jordan Journal of machine Learning research 3 (Jan), 993-1022, 2003	47327	2003
On spectral clustering: Analysis and an algorithm A Ng, M Jordan, Y Weiss Advances in neural information processing systems 14, 2001	11567	2001
Trust region policy optimization J Schulman, S Levine, P Abbeel, M Jordan, P Moritz International conference on machine learning, 1889-1897, 2015	6391	2015
Machine learning: Trends, perspectives, and prospects MI Jordan, TM Mitchell Science 349 (6245), 255-260, 2015	6041	2015
Adaptive mixtures of local experts RA Jacobs, MI Jordan, SJ Nowlan, GE Hinton Neural computation 3 (1), 79-87, 1991	5363	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	5102	2004
Graphical models, exponential families, and variational inference MJ Wainwright, MI Jordan Foundations and Trends® in Machine Learning 1 (1–2), 1-305, 2008	5032	2008
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37, 183-233, 1999	4980	1999
Learning transferable features with deep adaptation networks M Long, Y Cao, J Wang, M Jordan International conference on machine learning, 97-105, 2015	4546	2015
Hierarchical mixtures of experts and the EM algorithm MI Jordan, RA Jacobs Neural computation 6 (2), 181-214, 1994	4055	1994
An internal model for sensorimotor integration DM Wolpert, Z Ghahramani, MI Jordan Science 269 (5232), 1880-1882, 1995	3936	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	3877	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	3372	2002
An introduction to MCMC for machine learning C Andrieu, N De Freitas, A Doucet, MI Jordan Machine learning 50, 5-43, 2003	3318	2003
Optimal feedback control as a theory of motor coordination E Todorov, MI Jordan Nature neuroscience 5 (11), 1226-1235, 2002	3293	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	3034	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	2803	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	2633	2015
Kernel independent component analysis FR Bach, MI Jordan Journal of machine learning research 3 (Jul), 1-48, 2002	2412	2002
Active learning with statistical models DA Cohn, Z Ghahramani, MI Jordan Journal of artificial intelligence research 4, 129-145, 1996	2307	1996

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