Michael I. Jordan

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David BleiProfessor of Statistics and Computer Science, Columbia UniversityEmail confirmado em columbia.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleEmail confirmado em eng.cam.ac.uk
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyEmail confirmado em cs.berkeley.edu
Mingsheng LongAssociate Professor, Tsinghua UniversityEmail confirmado em tsinghua.edu.cn
Francis BachInria - Ecole Normale SupérieureEmail confirmado em inria.fr
Robert JacobsProfessor of Brain and Cognitive Sciences, University of RochesterEmail confirmado em bcs.rochester.edu
Ion StoicaProfessor of Computer Science, UC BerkeleyEmail confirmado em cs.berkeley.edu
David PattersonProfessor of Computer Science, UC BerkeleyEmail confirmado em cs.berkeley.edu
Gert LanckrietProfessor, UCSDEmail confirmado em eng.ucsd.edu
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford UniversityEmail confirmado em stanford.edu
Benjamin RechtProfessor of EECS, University of California, BerkeleyEmail confirmado em eecs.berkeley.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UEmail confirmado em cs.cmu.edu
Tamara BroderickAssociate Professor of EECS, Massachusetts Institute of TechnologyEmail confirmado em mit.edu
XuanLong NguyenUniversity of MichiganEmail confirmado em umich.edu
Yair WeissProfessor of Computer Science, Hebrew UniversityEmail confirmado em mail.huji.ac.il
Erik B. SudderthProfessor of Computer Science, UC IrvineEmail confirmado em uci.edu
Ameet TalwalkarCMUEmail confirmado em cmu.edu
Daniel WolpertProfessor of Neuroscience, Columbia UniversityEmail confirmado em columbia.edu
Philipp MoritzGraduate Student, UC BerkeleyEmail confirmado em berkeley.edu
Stuart RussellProfessor of Computer Science, University of California, BerkeleyEmail confirmado em cs.berkeley.edu

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Michael I. Jordan

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

Email confirmado em cs.berkeley.edu - Página inicial

machine learning computer science statistics artificial intelligence optimization


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Latent dirichlet allocation DM Blei, AY Ng, MI Jordan Journal of machine Learning research 3 (Jan), 993-1022, 2003	55861	2003
On spectral clustering: Analysis and an algorithm A Ng, M Jordan, Y Weiss Advances in neural information processing systems 14, 2001	12662	2001
Machine learning: Trends, perspectives, and prospects MI Jordan, TM Mitchell Science 349 (6245), 255-260, 2015	10159	2015
Trust Region Policy Optimization J Schulman arXiv preprint arXiv:1502.05477, 2015	8925	2015
Adaptive mixtures of local experts RA Jacobs, MI Jordan, SJ Nowlan, GE Hinton Neural computation 3 (1), 79-87, 1991	6328	1991
Learning transferable features with deep adaptation networks M Long, Y Cao, J Wang, M Jordan International conference on machine learning, 97-105, 2015	6199	2015
Graphical models, exponential families, and variational inference MJ Wainwright, MI Jordan Foundations and Trends® in Machine Learning 1 (1–2), 1-305, 2008	5628	2008
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37, 183-233, 1999	5527	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	5483	2004
An internal model for sensorimotor integration DM Wolpert, Z Ghahramani, MI Jordan Science 269 (5232), 1880-1882, 1995	4310	1995
Hierarchical mixtures of experts and the EM algorithm MI Jordan, RA Jacobs Neural computation 6 (2), 181-214, 1994	4271	1994
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	4060	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	4055	2015
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	3749	2002
An introduction to MCMC for machine learning C Andrieu, N De Freitas, A Doucet, MI Jordan Machine learning 50, 5-43, 2003	3658	2003
Optimal feedback control as a theory of motor coordination E Todorov, MI Jordan Nature neuroscience 5 (11), 1226-1235, 2002	3633	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	3155	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	3015	2004
Deep transfer learning with joint adaptation networks M Long, H Zhu, J Wang, MI Jordan International conference on machine learning, 2208-2217, 2017	2995	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	2840	2019

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