Michael I. Jordan

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David BleiProfessor of Statistics and Computer Science, Columbia UniversityDirección de correo verificada de columbia.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleDirección de correo verificada de eng.cam.ac.uk
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyDirección de correo verificada de cs.berkeley.edu
Mingsheng LongAssociate Professor, Tsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Francis BachInria - Ecole Normale SupérieureDirección de correo verificada de inria.fr
Robert JacobsProfessor of Brain and Cognitive Sciences, University of RochesterDirección de correo verificada de bcs.rochester.edu
Ion StoicaProfessor of Computer Science, UC BerkeleyDirección de correo verificada de cs.berkeley.edu
David PattersonProfessor of Computer Science, UC BerkeleyDirección de correo verificada de cs.berkeley.edu
Gert LanckrietProfessor, UCSDDirección de correo verificada de eng.ucsd.edu
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford UniversityDirección de correo verificada de stanford.edu
Benjamin RechtProfessor of EECS, University of California, BerkeleyDirección de correo verificada de eecs.berkeley.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UDirección de correo verificada de cs.cmu.edu
Tamara BroderickAssociate Professor of EECS, Massachusetts Institute of TechnologyDirección de correo verificada de mit.edu
XuanLong NguyenUniversity of MichiganDirección de correo verificada de umich.edu
Yair WeissProfessor of Computer Science, Hebrew UniversityDirección de correo verificada de mail.huji.ac.il
Erik B. SudderthProfessor of Computer Science, UC IrvineDirección de correo verificada de uci.edu
Ameet TalwalkarCMUDirección de correo verificada de cmu.edu
Daniel WolpertProfessor of Neuroscience, Columbia UniversityDirección de correo verificada de columbia.edu
Philipp MoritzGraduate Student, UC BerkeleyDirección de correo verificada de berkeley.edu
Stuart RussellProfessor of Computer Science, University of California, BerkeleyDirección de correo verificada de cs.berkeley.edu

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Michael I. Jordan

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

Dirección de correo verificada de cs.berkeley.edu - Página principal

machine learning computer science statistics artificial intelligence optimization


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Latent dirichlet allocation DM Blei, AY Ng, MI Jordan Journal of machine Learning research 3 (Jan), 993-1022, 2003	55924	2003
On spectral clustering: Analysis and an algorithm A Ng, M Jordan, Y Weiss Advances in neural information processing systems 14, 2001	12672	2001
Machine learning: Trends, perspectives, and prospects MI Jordan, TM Mitchell Science 349 (6245), 255-260, 2015	10201	2015
Trust Region Policy Optimization J Schulman arXiv preprint arXiv:1502.05477, 2015	8949	2015
Adaptive mixtures of local experts RA Jacobs, MI Jordan, SJ Nowlan, GE Hinton Neural computation 3 (1), 79-87, 1991	6339	1991
Learning transferable features with deep adaptation networks M Long, Y Cao, J Wang, M Jordan International conference on machine learning, 97-105, 2015	6209	2015
Graphical models, exponential families, and variational inference MJ Wainwright, MI Jordan Foundations and Trends® in Machine Learning 1 (1–2), 1-305, 2008	5635	2008
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37, 183-233, 1999	5528	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	4273	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	4066	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	4061	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	3752	2002
An introduction to MCMC for machine learning C Andrieu, N De Freitas, A Doucet, MI Jordan Machine learning 50, 5-43, 2003	3660	2003
Optimal feedback control as a theory of motor coordination E Todorov, MI Jordan Nature neuroscience 5 (11), 1226-1235, 2002	3635	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	3156	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	3001	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	2844	2019

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