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Michael I. Jordan
Michael I. Jordan
Professor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley
Bestätigte E-Mail-Adresse bei cs.berkeley.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Latent dirichlet allocation
DM Blei, AY Ng, MI Jordan
Journal of machine Learning research 3 (Jan), 993-1022, 2003
549682003
On spectral clustering: Analysis and an algorithm
A Ng, M Jordan, Y Weiss
Advances in neural information processing systems 14, 2001
125152001
Machine learning: Trends, perspectives, and prospects
MI Jordan, TM Mitchell
Science 349 (6245), 255-260, 2015
96782015
Trust Region Policy Optimization
J Schulman
arXiv preprint arXiv:1502.05477, 2015
86282015
Adaptive mixtures of local experts
RA Jacobs, MI Jordan, SJ Nowlan, GE Hinton
Neural computation 3 (1), 79-87, 1991
61701991
Learning transferable features with deep adaptation networks
M Long, Y Cao, J Wang, M Jordan
International conference on machine learning, 97-105, 2015
60522015
Graphical models, exponential families, and variational inference
MJ Wainwright, MI Jordan
Foundations and Trends® in Machine Learning 1 (1–2), 1-305, 2008
55622008
An introduction to variational methods for graphical models
MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul
Machine learning 37, 183-233, 1999
54611999
Sharing clusters among related groups: Hierarchical Dirichlet processes
Y Teh, M Jordan, M Beal, D Blei
Advances in neural information processing systems 17, 2004
54472004
An internal model for sensorimotor integration
DM Wolpert, Z Ghahramani, MI Jordan
Science 269 (5232), 1880-1882, 1995
42591995
Hierarchical mixtures of experts and the EM algorithm
MI Jordan, RA Jacobs
Neural computation 6 (2), 181-214, 1994
42181994
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
40412002
High-dimensional continuous control using generalized advantage estimation
J Schulman, P Moritz, S Levine, M Jordan, P Abbeel
arXiv preprint arXiv:1506.02438, 2015
39132015
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
37012002
An introduction to MCMC for machine learning
C Andrieu, N De Freitas, A Doucet, MI Jordan
Machine learning 50, 5-43, 2003
36132003
Optimal feedback control as a theory of motor coordination
E Todorov, MI Jordan
Nature neuroscience 5 (11), 1226-1235, 2002
35822002
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
31422004
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
29962004
Deep transfer learning with joint adaptation networks
M Long, H Zhu, J Wang, MI Jordan
International conference on machine learning, 2208-2217, 2017
29262017
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
26982019
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