High-dimensional support union recovery in multivariate regression GR Obozinski, MJ Wainwright, MI Jordan Advances in Neural Information Processing Systems, 1217-1224, 2008 | 55 | 2008 |
Regression on manifolds using kernel dimension reduction J Nilsson, F Sha, MI Jordan Proceedings of the 24th international conference on Machine learning, 697-704, 2007 | 55 | 2007 |
Learning graphical models for stationary time series FR Bach, M Jordan Signal Processing, IEEE Transactions on 52 (8), 2189-2199, 2004 | 55 | 2004 |
Variational mcmc N De Freitas, P Højen-Sørensen, MI Jordan, S Russell Proceedings of the Seventeenth conference on Uncertainty in artificial ..., 2001 | 55 | 2001 |
Log-determinant relaxation for approximate inference in discrete Markov random fields MJ Wainwright, M Jordan Signal Processing, IEEE Transactions on 54 (6), 2099-2109, 2006 | 54 | 2006 |
Streaming variational bayes T Broderick, N Boyd, A Wibisono, AC Wilson, MI Jordan Advances in Neural Information Processing Systems, 1727-1735, 2013 | 53 | 2013 |
Estimating dependency structure as a hidden variable M Meila, MI Jordan, Q Morris | 53 | 1998 |
Spectral clustering with perturbed data L Huang, D Yan, N Taft, MI Jordan Advances in Neural Information Processing Systems, 705-712, 2009 | 52 | 2009 |
Robust design of biological experiments P Flaherty, A Arkin, MI Jordan Advances in neural information processing systems, 363-370, 2005 | 51 | 2005 |
Extensions of the informative vector machine ND Lawrence, JC Platt, MI Jordan Deterministic and Statistical Methods in Machine Learning, 56-87, 2005 | 50 | 2005 |
A statistical approach to decision tree modeling MI Jordan Proceedings of the seventh annual conference on Computational learning ..., 1994 | 50 | 1994 |
The big data bootstrap A Kleiner, A Talwalkar, P Sarkar, M Jordan arXiv preprint arXiv:1206.6415, 2012 | 49 | 2012 |
Variational Bayesian inference with stochastic search J Paisley, D Blei, M Jordan arXiv preprint arXiv:1206.6430, 2012 | 49 | 2012 |
On the consistency of ranking algorithms JC Duchi, LW Mackey, MI Jordan Proceedings of the 27th International Conference on Machine Learning (ICML ..., 2010 | 49 | 2010 |
Bayesian bias mitigation for crowdsourcing FL Wauthier, MI Jordan Advances in Neural Information Processing Systems, 1800-1808, 2011 | 48 | 2011 |
Active site prediction using evolutionary and structural information S Sankararaman, F Sha, JF Kirsch, MI Jordan, K Sjölander Bioinformatics 26 (5), 617-624, 2010 | 48 | 2010 |
On surrogate loss functions and f-divergences XL Nguyen, MJ Wainwright, MI Jordan The Annals of Statistics, 876-904, 2009 | 48 | 2009 |
Random sampling of a continuous-time stochastic dynamical system M Micheli, MI Jordan Proc. of the 15th International Symposium on the Mathematical Theory of ..., 2002 | 47 | 2002 |
Learning in Boltzmann trees L Saul, MI Jordan Neural Computation 6 (6), 1174-1184, 1994 | 47 | 1994 |
A randomization test for controlling population stratification in whole-genome association studies G Kimmel, MI Jordan, E Halperin, R Shamir, RM Karp The American Journal of Human Genetics 81 (5), 895-905, 2007 | 46 | 2007 |
The sticky HDP-HMM: Bayesian nonparametric hidden Markov models with persistent states EB Fox, EB Sudderth, MI Jordan, AS Willsky Arxiv preprint, 2007 | 46 | 2007 |
Are reaching movements planned to be straight and invariant in the extrinsic space? Kinematic comparison between compliant and unconstrained motions M Desmurget, C Prablanc, M Jordan, M Jeannerod The Quarterly Journal of Experimental Psychology: Section A 52 (4), 981-1020, 1999 | 46 | 1999 |
MLI: An API for distributed machine learning ER Sparks, A Talwalkar, V Smith, J Kottalam, X Pan, J Gonzalez, ... Data Mining (ICDM), 2013 IEEE 13th International Conference on, 1187-1192, 2013 | 45 | 2013 |
A variational principle for graphical models M Wainwright, MI Jordan New Directions in Statistical Signal Processing 155, 2005 | 44 | 2005 |
Recursive algorithms for approximating probabilities in graphical models TS Jaakkola, MI Jordan Advances in neural information processing systems, 487-493, 1997 | 44 | 1997 |
Computation and psychophysics of sensorimotor integration Z Ghahramani Massachusetts Institute of Technology, 1995 | 44 | 1995 |
Online system problem detection by mining patterns of console logs W Xu, L Huang, A Fox, D Patterson, M Jordan Data Mining, 2009. ICDM'09. Ninth IEEE International Conference on, 588-597, 2009 | 43 | 2009 |
Computational intelligence MI Jordan, S Russell The MIT encyclopedia of the cognitive sciences, i73-i80, 1999 | 43 | 1999 |
Discriminative training of hidden markov models for multiple pitch tracking [speech processing examples] FR Bach, M Jordan Acoustics, Speech, and Signal Processing, 2005. Proceedings.(ICASSP'05 ..., 2005 | 42 | 2005 |
Finding clusters in independent component analysis FR Bach, MI Jordan Computer Science Division, University of California, 2002 | 42 | 2002 |
Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization. XL Nguyen, MJ Wainwright, MI Jordan NIPS, 2007 | 41 | 2007 |
On the inference of ancestries in admixed populations S Sankararaman, G Kimmel, E Halperin, MI Jordan Genome research 18 (4), 668-675, 2008 | 40 | 2008 |
Bayesian multi-population haplotype inference via a hierarchical Dirichlet process mixture EP Xing, KA Sohn, MI Jordan, YW Teh Proceedings of the 23rd international conference on Machine learning, 1049-1056, 2006 | 40 | 2006 |
Local privacy and statistical minimax rates JC Duchi, M Jordan, MJ Wainwright Foundations of Computer Science (FOCS), 2013 IEEE 54th Annual Symposium on ..., 2013 | 39 | 2013 |
The cascade neural network model and a speed-accuracy trade-off of arm movement M Hirayama, M Kawato, MI Jordan Journal of motor behavior 25 (3), 162-174, 1993 | 39 | 1993 |
Solving inverse problems using an EM approach to density estimation Z Ghahramani Proceedings of the 1993 Connectionist Models summer school, 316-323, 1994 | 38 | 1994 |
The phylogenetic Indian buffet process: A non-exchangeable nonparametric prior for latent features KT Miller, T Griffiths, MI Jordan arXiv preprint arXiv:1206.3279, 2012 | 37 | 2012 |
Modeling events with cascades of Poisson processes A Simma, MI Jordan arXiv preprint arXiv:1203.3516, 2012 | 37 | 2012 |
Bayesian nonparametric methods for learning Markov switching processes EB Fox, EB Sudderth, M Jordan, AS Willsky Signal Processing Magazine, IEEE 27 (6), 43-54, 2010 | 37 | 2010 |
Hierarchical Bayesian models for applications in information retrieval JMBMJBJO Berger, AP Dawid, DHAFM Smith, M West Bayesian Statistics 7: Proceedings of the Seventh Valencia International ..., 2003 | 37 | 2003 |
A hierarchical Bayesian Markovian model for motifs in biopolymer sequences EP Xing, MI Jordan, RM Karp, S Russell Advances in Neural Information Processing Systems, 1489-1496, 2002 | 37 | 2002 |
A modified gating network for the mixtures of experts architecture L Xu, MI Jordan, GE Hinton World Congress on Neural Networks II, San Diego CA, June, 405-410, 1994 | 37 | 1994 |
Matrix concentration inequalities via the method of exchangeable pairs L Mackey, MI Jordan, RY Chen, B Farrell, JA Tropp The Annals of Probability 42 (3), 906-945, 2014 | 36 | 2014 |
Ancestor sampling for particle Gibbs F Lindsten, T Schön, MI Jordan Advances in Neural Information Processing Systems, 2591-2599, 2012 | 36 | 2012 |
A case for adaptive datacenters to conserve energy and improve reliability P Bodik, MP Armbrust, K Canini, A Fox, M Jordan, DA Patterson University of California at Berkeley, Tech. Rep. UCB/EECS-2008-127, 2008 | 36 | 2008 |
Mixed membership matrix factorization LW Mackey, D Weiss, MI Jordan Proceedings of the 27th international conference on machine learning (ICML ..., 2010 | 35 | 2010 |
Advanced tools for operators at Amazon. com P Bodık, A Fox, MI Jordan, D Patterson, A Banerjee, R Jagannathan, T Su, ... The First Annual Workshop on Autonomic Computing, 2006 | 35 | 2006 |
Tree-dependent component analysis FR Bach, MI Jordan Proceedings of the Eighteenth conference on Uncertainty in artificial ..., 2002 | 35 | 2002 |
Regularized discriminant analysis, ridge regression and beyond Z Zhang, G Dai, C Xu, MI Jordan The Journal of Machine Learning Research 11, 2199-2228, 2010 | 34 | 2010 |
Multiway spectral clustering: A margin-based perspective Z Zhang, MI Jordan Statistical Science 23 (3), 383-403, 2008 | 34 | 2008 |
Joint covariate selection for grouped classification G Obozinski, B Taskar, M Jordan Technical report, Statistics Department, UC Berkeley, 2007 | 34 | 2007 |
A more biologically plausible learning rule than backpropagation applied to a network model of cortical area 7a P Mazzoni, RA Andersen, MI Jordan Cerebral Cortex 1 (4), 293-307, 1991 | 34 | 1991 |
Indeterminate motor skill learning problems MI Jordan Attention and Performance XIII, 1989 | 34 | 1989 |
Internal world models and supervised learning MI Jordan, DE Rumelhart Machine Learning: Proceedings of Eighth Internatinoal Workshop, 70-85, 2014 | 33 | 2014 |
Particle Gibbs with ancestor sampling F Lindsten, MI Jordan, TB Schön The Journal of Machine Learning Research 15 (1), 2145-2184, 2014 | 33 | 2014 |
Automatic exploration of datacenter performance regimes P Bodík, R Griffith, C Sutton, A Fox, MI Jordan, DA Patterson Proceedings of the 1st workshop on Automated control for datacenters and ..., 2009 | 33 | 2009 |
Large Margin Classifiers: Convex Loss, Low Noise, and Convergence Rates. PL Bartlett, MI Jordan, JD McAuliffe NIPS, 2003 | 33 | 2003 |
A dual receptor crosstalk model of G-protein-coupled signal transduction P Flaherty, ML Radhakrishnan, T Dinh, RA Rebres, TI Roach, MI Jordan, ... | 32 | 2008 |
Union support recovery in high-dimensional multivariate regression G Obozinski, MJ Wainwright, M Jordan Communication, Control, and Computing, 2008 46th Annual Allerton Conference ..., 2008 | 32 | 2008 |
Mixture models for learning from incomplete data Z Ghahramani, MI Jordan Computational learning theory and natural learning systems 4, 67-85, 1997 | 32 | 1997 |
Communication-efficient distributed dual coordinate ascent M Jaggi, V Smith, M Takác, J Terhorst, S Krishnan, T Hofmann, MI Jordan Advances in Neural Information Processing Systems, 3068-3076, 2014 | 31 | 2014 |
Nonparametric link prediction in dynamic networks P Sarkar, D Chakrabarti, M Jordan arXiv preprint arXiv:1206.6394, 2012 | 31 | 2012 |
Phylogenetic inference via sequential Monte Carlo A Bouchard-Côté, S Sankararaman, MI Jordan Systematic biology, syr131, 2012 | 31 | 2012 |
Privacy aware learning MJ Wainwright, MI Jordan, JC Duchi Advances in Neural Information Processing Systems, 1430-1438, 2012 | 31 | 2012 |
Lessons from Escherichia coli genes similarly regulated in response to nitrogen and sulfur limitation P Gyaneshwar, O Paliy, J McAuliffe, A Jones, MI Jordan, S Kustu Proceedings of the National Academy of Sciences of the United States of ..., 2005 | 31 | 2005 |
Sparse Gaussian process classification with multiple classes M Seeger, M Jordan Department of Statistics, University of Berkeley, CA, 2004 | 31 | 2004 |
Variational inference in graphical models: The view from the marginal polytope MJ Wainwright, MI Jordan PROCEEDINGS OF THE ANNUAL ALLERTON CONFERENCE ON COMMUNICATION CONTROL AND ..., 2003 | 31 | 2003 |
Semidefinite relaxations for approximate inference on graphs with cycles MJ Wainwright, MI Jordan NIPS, 2003 | 31 | 2003 |
Learning in graphical models (adaptive computation and machine learning) M Jordan The MIT Press, 1998 | 31 | 1998 |
Advances in Neural Information Processing Systems 9: Proceedings of the 1996 Conference IEEE conference on neural information processing systems Mit Press, 1997 | 31* | 1997 |
Genome-scale phylogenetic function annotation of large and diverse protein families BE Engelhardt, MI Jordan, JR Srouji, SE Brenner Genome research 21 (11), 1969-1980, 2011 | 30 | 2011 |
Type-based MCMC P Liang, MI Jordan, D Klein Human Language Technologies: The 2010 Annual Conference of the North ..., 2010 | 30 | 2010 |
Hierarchical models, nested models and completely random measures MI Jordan Frontiers of Statistical Decision Making and Bayesian Analysis: in Honor of ..., 2010 | 30 | 2010 |
Robust sparse hyperplane classifiers: application to uncertain molecular profiling data C Bhattacharyya, LR Grate, MI Jordan, LE Ghaoui, IS Mian Journal of Computational Biology 11 (6), 1073-1089, 2004 | 30 | 2004 |
An analysis of the convergence of graph Laplacians D Ting, L Huang, M Jordan arXiv preprint arXiv:1101.5435, 2011 | 29 | 2011 |
Probabilistic grammars and hierarchical Dirichlet processes P Liang, MI Jordan, D Klein The handbook of applied Bayesian analysis, 2009 | 29 | 2009 |
Reinforcement learning by probability matching PN Sabes, MI Jordan Advances in neural information processing systems, 1080-1086, 1996 | 29 | 1996 |
Efficient ranking from pairwise comparisons F Wauthier, M Jordan, N Jojic Proceedings of the 30th International Conference on Machine Learning, 109-117, 2013 | 28 | 2013 |
On statistics, computation and scalability MI Jordan Bernoulli 19 (4), 1378-1390, 2013 | 27 | 2013 |
Beta processes, stick-breaking and power laws T Broderick, MI Jordan, J Pitman Bayesian analysis 7 (2), 439-476, 2012 | 27 | 2012 |
Variational methods and the QMR-DT database TS Jaakkola, MI Jordan NATO ASI SERIES F COMPUTER AND SYSTEMS SCIENCES 168, 185-214, 1998 | 27 | 1998 |
Fast learning by bounding likelihoods in sigmoid type belief networks TS Jaakkola, LK Saul, MI Jordan | 27 | 1996 |
Information-theoretic lower bounds for distributed statistical estimation with communication constraints Y Zhang, J Duchi, MI Jordan, MJ Wainwright Advances in Neural Information Processing Systems, 2328-2336, 2013 | 26 | 2013 |
MAD-Bayes: MAP-based asymptotic derivations from Bayes T Broderick, B Kulis, MI Jordan arXiv preprint arXiv:1212.2126, 2012 | 26 | 2012 |
Statistical modeling of biomedical corpora: mining the Caenorhabditis Genetic Center Bibliography for genes related to life span DM Blei, K Franks, MI Jordan, IS Mian Bmc Bioinformatics 7 (1), 250, 2006 | 26 | 2006 |
Graph partition strategies for generalized mean field inference EP Xing, MI Jordan, S Russell Proceedings of the 20th conference on Uncertainty in artificial intelligence ..., 2004 | 26 | 2004 |
A mean field learning algorithm for unsupervised neural networks L Saul, M Jordan Learning in graphical models, 541-554, 1998 | 26 | 1998 |
A modular connectionist architecture for learning piecewise control strategies RA Jacobs, M Jordan American Control Conference, 1991, 1597-1602, 1991 | 26 | 1991 |
Knowing when you're wrong: building fast and reliable approximate query processing systems S Agarwal, H Milner, A Kleiner, A Talwalkar, M Jordan, S Madden, ... Proceedings of the 2014 ACM SIGMOD international conference on Management of ..., 2014 | 24 | 2014 |
Agreement-based learning P Liang, D Klein, MI Jordan Advances in Neural Information Processing Systems, 913-920, 2007 | 24 | 2007 |
Public deployment of cooperative bug isolation B Liblit, M Naik, AX Zheng, A Aiken, MI Jordan Proceedings of the Second International Workshop on Remote Analysis and ..., 2004 | 24 | 2004 |
Bayesian nonparametric learning: Expressive priors for intelligent systems MI Jordan Heuristics, Probability and Causality: A Tribute to Judea Pearl 11, 167-185, 2010 | 23 | 2010 |
Combinatorial clustering and the beta negative binomial process T Broderick, L Mackey, J Paisley, M Jordan Pattern Analysis and Machine Intelligence, IEEE Transactions on 37 (2), 290-306, 2015 | 22 | 2015 |
Active spectral clustering via iterative uncertainty reduction FL Wauthier, N Jojic, MI Jordan Proceedings of the 18th ACM SIGKDD international conference on Knowledge ..., 2012 | 22 | 2012 |
Small-variance asymptotics for exponential family Dirichlet process mixture models K Jiang, B Kulis, MI Jordan Advances in Neural Information Processing Systems, 3158-3166, 2012 | 22 | 2012 |
Nonparametric Bayesian Co-clustering Ensembles. P Wang, KB Laskey, C Domeniconi, MI Jordan SDM, 331-342, 2011 | 22 | 2011 |
A unified probabilistic model for global and local unsupervised feature selection Y Guan, MI Jordan, JG Dy Proceedings of the 28th International Conference on Machine Learning (ICML ..., 2011 | 22 | 2011 |
Learning programs: A hierarchical Bayesian approach P Liang, MI Jordan, D Klein Proceedings of the 27th International Conference on Machine Learning (ICML ..., 2010 | 22 | 2010 |
1 Kernel-based Integration of Genomic Data using Semidefinite Programming GRG Lanckriet, N Cristianini, MI Jordan, WS Noble Kernel Methods in Computational Biology, 231, 2004 | 22 | 2004 |
Experience mining Google’s production console logs W Xu, L Huang, A Fox, D Patterson, M Jordan Proc. of SLAML, 2010 | 21 | 2010 |