Michael I. Jordan

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	すべて	2019 年以来
引用	311920	157807
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i10 指標	769	606

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225 件の論文

6 件の論文

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共著者

David BleiProfessor of Statistics and Computer Science, Columbia University確認したメールアドレス: columbia.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, Google確認したメールアドレス: eng.cam.ac.uk
Peter BartlettProfessor, EECS and Statistics, UC Berkeley確認したメールアドレス: cs.berkeley.edu
Mingsheng LongAssociate Professor, Tsinghua University確認したメールアドレス: tsinghua.edu.cn
Francis BachInria - Ecole Normale Supérieure確認したメールアドレス: inria.fr
Robert JacobsProfessor of Brain and Cognitive Sciences, University of Rochester確認したメールアドレス: bcs.rochester.edu
Ion StoicaProfessor of Computer Science, UC Berkeley確認したメールアドレス: cs.berkeley.edu
David PattersonProfessor of Computer Science, UC Berkeley確認したメールアドレス: cs.berkeley.edu
Gert LanckrietProfessor, UCSD確認したメールアドレス: eng.ucsd.edu
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford University確認したメールアドレス: stanford.edu
Benjamin RechtProfessor of EECS, University of California, Berkeley確認したメールアドレス: eecs.berkeley.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon U確認したメールアドレス: cs.cmu.edu
Tamara BroderickAssociate Professor of EECS, Massachusetts Institute of Technology確認したメールアドレス: mit.edu
XuanLong NguyenUniversity of Michigan確認したメールアドレス: umich.edu
Yair WeissProfessor of Computer Science, Hebrew University確認したメールアドレス: mail.huji.ac.il
Erik B. SudderthProfessor of Computer Science, UC Irvine確認したメールアドレス: uci.edu
Ameet TalwalkarCMU確認したメールアドレス: cmu.edu
Daniel WolpertProfessor of Neuroscience, Columbia University確認したメールアドレス: columbia.edu
Philipp MoritzGraduate Student, UC Berkeley確認したメールアドレス: berkeley.edu
Stuart RussellProfessor of Computer Science, University of California, Berkeley確認したメールアドレス: cs.berkeley.edu

フォロー

Michael I. Jordan

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

確認したメールアドレス: cs.berkeley.edu - ホームページ

machine learning computer science statistics artificial intelligence optimization


タイトル引用回数順公開年順タイトル順	引用先引用先	年
Latent dirichlet allocation DM Blei, AY Ng, MI Jordan Journal of machine Learning research 3 (Jan), 993-1022, 2003	55947	2003
On spectral clustering: Analysis and an algorithm A Ng, M Jordan, Y Weiss Advances in neural information processing systems 14, 2001	12676	2001
Machine learning: Trends, perspectives, and prospects MI Jordan, TM Mitchell Science 349 (6245), 255-260, 2015	10221	2015
Trust Region Policy Optimization J Schulman arXiv preprint arXiv:1502.05477, 2015	8953	2015
Adaptive mixtures of local experts RA Jacobs, MI Jordan, SJ Nowlan, GE Hinton Neural computation 3 (1), 79-87, 1991	6340	1991
Learning transferable features with deep adaptation networks M Long, Y Cao, J Wang, M Jordan International conference on machine learning, 97-105, 2015	6216	2015
Graphical models, exponential families, and variational inference MJ Wainwright, MI Jordan Foundations and Trends® in Machine Learning 1 (1–2), 1-305, 2008	5636	2008
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37, 183-233, 1999	5531	1999
Sharing clusters among related groups: Hierarchical Dirichlet processes Y Teh, M Jordan, M Beal, D Blei Advances in neural information processing systems 17, 2004	5487	2004
An internal model for sensorimotor integration DM Wolpert, Z Ghahramani, MI Jordan Science 269 (5232), 1880-1882, 1995	4312	1995
Hierarchical mixtures of experts and the EM algorithm MI Jordan, RA Jacobs Neural computation 6 (2), 181-214, 1994	4275	1994
High-dimensional continuous control using generalized advantage estimation J Schulman, P Moritz, S Levine, M Jordan, P Abbeel arXiv preprint arXiv:1506.02438, 2015	4070	2015
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	4062	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	3754	2002
An introduction to MCMC for machine learning C Andrieu, N De Freitas, A Doucet, MI Jordan Machine learning 50, 5-43, 2003	3659	2003
Optimal feedback control as a theory of motor coordination E Todorov, MI Jordan Nature neuroscience 5 (11), 1226-1235, 2002	3636	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	3157	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	3016	2004
Deep transfer learning with joint adaptation networks M Long, H Zhu, J Wang, MI Jordan International conference on machine learning, 2208-2217, 2017	3003	2017
Theoretically principled trade-off between robustness and accuracy H Zhang, Y Yu, J Jiao, E Xing, L El Ghaoui, M Jordan International conference on machine learning, 7472-7482, 2019	2846	2019

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