Michael I. Jordan

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

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Michael I. Jordan

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

Verificeret mail på cs.berkeley.edu - Startside

machine learning computer science statistics artificial intelligence optimization


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
Latent dirichlet allocation DM Blei, AY Ng, MI Jordan Journal of machine Learning research 3 (Jan), 993-1022, 2003	55986	2003
On spectral clustering: Analysis and an algorithm A Ng, M Jordan, Y Weiss Advances in neural information processing systems 14, 2001	12694	2001
Machine learning: Trends, perspectives, and prospects MI Jordan, TM Mitchell Science 349 (6245), 255-260, 2015	10250	2015
Trust Region Policy Optimization J Schulman arXiv preprint arXiv:1502.05477, 2015	8968	2015
Adaptive mixtures of local experts RA Jacobs, MI Jordan, SJ Nowlan, GE Hinton Neural computation 3 (1), 79-87, 1991	6359	1991
Learning transferable features with deep adaptation networks M Long, Y Cao, J Wang, M Jordan International conference on machine learning, 97-105, 2015	6221	2015
Graphical models, exponential families, and variational inference MJ Wainwright, MI Jordan Foundations and Trends® in Machine Learning 1 (1–2), 1-305, 2008	5638	2008
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37, 183-233, 1999	5535	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	5489	2004
An internal model for sensorimotor integration DM Wolpert, Z Ghahramani, MI Jordan Science 269 (5232), 1880-1882, 1995	4314	1995
Hierarchical mixtures of experts and the EM algorithm MI Jordan, RA Jacobs Neural computation 6 (2), 181-214, 1994	4279	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	4083	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	4064	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	3756	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	3639	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	3017	2004
Deep transfer learning with joint adaptation networks M Long, H Zhu, J Wang, MI Jordan International conference on machine learning, 2208-2217, 2017	3006	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	2854	2019

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