| Latent dirichlet allocation DM Blei, AY Ng, MI Jordan Journal of machine Learning research 3 (Jan), 993-1022, 2003 | 52737 | 2003 |
| On spectral clustering: Analysis and an algorithm A Ng, M Jordan, Y Weiss Advances in neural information processing systems 14, 2001 | 12418 | 2001 |
| Machine learning: Trends, perspectives, and prospects MI Jordan, TM Mitchell Science 349 (6245), 255-260, 2015 | 8419 | 2015 |
| Trust region policy optimization J Schulman, S Levine, P Abbeel, M Jordan, P Moritz International conference on machine learning, 1889-1897, 2015 | 7911 | 2015 |
| Adaptive mixtures of local experts RA Jacobs, MI Jordan, SJ Nowlan, GE Hinton Neural computation 3 (1), 79-87, 1991 | 5849 | 1991 |
| Learning transferable features with deep adaptation networks M Long, Y Cao, J Wang, M Jordan International conference on machine learning, 97-105, 2015 | 5606 | 2015 |
| Graphical models, exponential families, and variational inference MJ Wainwright, MI Jordan Foundations and Trends® in Machine Learning 1 (1–2), 1-305, 2008 | 5403 | 2008 |
| Sharing clusters among related groups: Hierarchical Dirichlet processes Y Teh, M Jordan, M Beal, D Blei Advances in neural information processing systems 17, 2004 | 5337 | 2004 |
| An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37, 183-233, 1999 | 5332 | 1999 |
| Hierarchical mixtures of experts and the EM algorithm MI Jordan, RA Jacobs Neural computation 6 (2), 181-214, 1994 | 4212 | 1994 |
| An internal model for sensorimotor integration DM Wolpert, Z Ghahramani, MI Jordan Science 269 (5232), 1880-1882, 1995 | 4156 | 1995 |
| 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 | 3993 | 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 | 3558 | 2002 |
| An introduction to MCMC for machine learning C Andrieu, N De Freitas, A Doucet, MI Jordan Machine learning 50, 5-43, 2003 | 3522 | 2003 |
| Optimal feedback control as a theory of motor coordination E Todorov, MI Jordan Nature neuroscience 5 (11), 1226-1235, 2002 | 3482 | 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 | 3426 | 2015 |
| 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 | 3117 | 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 | 2952 | 2004 |
| Deep transfer learning with joint adaptation networks M Long, H Zhu, J Wang, MI Jordan International conference on machine learning, 2208-2217, 2017 | 2704 | 2017 |
| Kernel independent component analysis FR Bach, MI Jordan Journal of machine learning research 3 (Jul), 1-48, 2002 | 2527 | 2002 |
| Active learning with statistical models DA Cohn, Z Ghahramani, MI Jordan Journal of artificial intelligence research 4, 129-145, 1996 | 2481 | 1996 |
| 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 | 2392 | 2019 |
| Loopy belief propagation for approximate inference: An empirical study K Murphy, Y Weiss, MI Jordan arXiv preprint arXiv:1301.6725, 2013 | 2348 | 2013 |
| Learning in graphical models MI Jordan MIT press, 1999 | 2326 | 1999 |
| Conditional adversarial domain adaptation M Long, Z Cao, J Wang, MI Jordan Advances in neural information processing systems 31, 2018 | 2302 | 2018 |
| Forward models: Supervised learning with a distal teacher MI Jordan, DE Rumelhart Backpropagation, 189-236, 2013 | 2216 | 2013 |
| Matching words and pictures K Barnard, P Duygulu, D Forsyth, N De Freitas, DM Blei, MI Jordan The Journal of Machine Learning Research 3, 1107-1135, 2003 | 2124 | 2003 |
| Serial order: A parallel distributed processing approach MI Jordan Advances in psychology 121, 471-495, 1997 | 2038 | 1997 |
| Multiple kernel learning, conic duality, and the SMO algorithm FR Bach, GRG Lanckriet, MI Jordan Proceedings of the twenty-first international conference on Machine learning, 6, 2004 | 1967 | 2004 |
| Factorial hidden Markov models Z Ghahramani, M Jordan Advances in neural information processing systems 8, 1995 | 1867 | 1995 |
| Variational inference for Dirichlet process mixtures DM Blei, MI Jordan | 1857 | 2006 |
| A linear non-Gaussian acyclic model for causal discovery. S Shimizu, PO Hoyer, A Hyvärinen, A Kerminen, M Jordan Journal of Machine Learning Research 7 (10), 2006 | 1745 | 2006 |
| Convexity, classification, and risk bounds PL Bartlett, MI Jordan, JD McAuliffe Journal of the American Statistical Association 101 (473), 138-156, 2006 | 1676 | 2006 |
| Unsupervised domain adaptation with residual transfer networks M Long, H Zhu, J Wang, MI Jordan Advances in neural information processing systems 29, 2016 | 1656 | 2016 |
| Attractor dynamics and parallelism in a connectionist sequential machine MI Jordan Artificial neural networks: concept learning, 112-127, 1990 | 1640 | 1990 |
| Modeling annotated data DM Blei, MI Jordan Proceedings of the 26th annual international ACM SIGIR conference on …, 2003 | 1574 | 2003 |
| Hierarchical topic models and the nested Chinese restaurant process T Griffiths, M Jordan, J Tenenbaum, D Blei Advances in neural information processing systems 16, 2003 | 1528 | 2003 |
| Convex and semi-nonnegative matrix factorizations CHQ Ding, T Li, MI Jordan IEEE transactions on pattern analysis and machine intelligence 32 (1), 45-55, 2008 | 1524 | 2008 |
| Deep generative modeling for single-cell transcriptomics R Lopez, J Regier, MB Cole, MI Jordan, N Yosef Nature methods 15 (12), 1053-1058, 2018 | 1385 | 2018 |
| Detecting large-scale system problems by mining console logs W Xu, L Huang, A Fox, D Patterson, MI Jordan Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles …, 2009 | 1343 | 2009 |
David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.edu
