Michael I. Jordan - Publications

Affiliations: 
1988-1998 Massachusetts Institute of Technology, Cambridge, MA, United States 
 1998- University of California, Berkeley, Berkeley, CA 
Area:
machine learning, statistics
Website:
http://www.cs.berkeley.edu/~jordan/

285 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Ma YA, Chen Y, Jin C, Flammarion N, Jordan MI. Sampling can be faster than optimization. Proceedings of the National Academy of Sciences of the United States of America. PMID 31570618 DOI: 10.1073/pnas.1820003116  0.64
2016 Wibisono A, Wilson AC, Jordan MI. A variational perspective on accelerated methods in optimization. Proceedings of the National Academy of Sciences of the United States of America. PMID 27834219 DOI: 10.1073/pnas.1614734113  0.76
2015 Broderick T, Mackey L, Paisley J, Jordan MI. Combinatorial Clustering and the Beta Negative Binomial Process. Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 290-306. PMID 26353242 DOI: 10.1109/TPAMI.2014.2318721  0.68
2015 Paisley J, Wang C, Blei DM, Jordan MI. Nested Hierarchical Dirichlet Processes. Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 256-70. PMID 26353240 DOI: 10.1109/TPAMI.2014.2318728  1
2015 Jordan MI, Mitchell TM. Machine learning: Trends, perspectives, and prospects Science. 349: 255-260. DOI: 10.1126/science.aaa8415  1
2015 Paisley J, Wang C, Blei DM, Jordan MI. Nested hierarchical dirichlet processes Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 256-270. DOI: 10.1109/TPAMI.2014.2318728  1
2015 Broderick T, Mackey L, Paisley J, Jordan MI. Combinatorial clustering and the beta negative binomial process Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 290-306. DOI: 10.1109/TPAMI.2014.2318721  1
2015 Duchi JC, Jordan MI, Wainwright MJ, Wibisono A. Optimal Rates for Zero-Order Convex Optimization: The Power of Two Function Evaluations Ieee Transactions On Information Theory. 61: 2788-2806. DOI: 10.1109/TIT.2015.2409256  1
2015 Moldovan TM, Levine S, Jordan MI, Abbeel P. Optimism-driven exploration for nonlinear systems Proceedings - Ieee International Conference On Robotics and Automation. 2015: 3239-3246. DOI: 10.1109/ICRA.2015.7139645  1
2015 Mackey L, Talwalkar A, Jordan MI. Distributed matrix completion and robust factorization Journal of Machine Learning Research. 16: 913-960.  1
2015 Rabinovich M, Angelino E, Jordan MI. Variational consensus Monte Carlo Advances in Neural Information Processing Systems. 2015: 1207-1215.  1
2015 Zhang Y, Wainwright MJ, Jordan MI. Distributed estimation of generalized matrix rank: Efficient algorithms and lower bounds 32nd International Conference On Machine Learning, Icml 2015. 1: 457-465.  1
2014 Talwalkar A, Liptrap J, Newcomb J, Hartl C, Terhorst J, Curtis K, Bresler M, Song YS, Jordan MI, Patterson D. SMaSH: a benchmarking toolkit for human genome variant calling. Bioinformatics (Oxford, England). 30: 2787-95. PMID 24894505 DOI: 10.1093/bioinformatics/btu345  1
2014 Sarkar P, Chakrabarti D, Jordan M. Nonparametric link prediction in large scale dynamic networks Electronic Journal of Statistics. 2022-2065. DOI: 10.1214/14-EJS943  1
2014 Zhang Z, Wang D, Dai G, Jordan MI. Matrix-variate dirichlet process priors with applications Bayesian Analysis. 9: 259-286. DOI: 10.1214/13-BA853  1
2014 Mackey L, Jordan MI, Chen RY, Farrell B, Tropp JA. Matrix concentration inequalities via the method of exchangeable pairs Annals of Probability. 42: 906-945. DOI: 10.1214/13-AOP892  1
2014 Duchi JC, Jordan MI, Wainwright MJ. Privacy aware learning Journal of the Acm. 61. DOI: 10.1145/2666468  1
2014 Agarwal S, Milner H, Kleiner A, Talwalkar A, Jordan M, Madden S, Mozafari B, Stoica I. Knowing when you're wrong: Building fast and reliable approximate query processing systems Proceedings of the Acm Sigmod International Conference On Management of Data. 481-492. DOI: 10.1145/2588555.2593667  1
2014 Kleiner A, Talwalkar A, Sarkar P, Jordan MI. A scalable bootstrap for massive data Journal of the Royal Statistical Society. Series B: Statistical Methodology. 76: 795-816. DOI: 10.1111/rssb.12050  1
2014 Niu D, Dy JG, Jordan MI. Iterative discovery of multiple alternativeclustering views Ieee Transactions On Pattern Analysis and Machine Intelligence. 36: 1340-1353. DOI: 10.1109/TPAMI.2013.180  1
2014 Bloniarz A, Talwalkar A, Terhorst J, Jordan MI, Patterson D, Yu B, Song YS. Changepoint analysis for efficient variant calling Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8394: 20-34. DOI: 10.1007/978-3-319-05269-4-3  1
2014 Zhang Y, Wainwright MJ, Jordan MI. Lower bounds on the performance of polynomial-time algorithms for sparse linear regression Journal of Machine Learning Research. 35: 921-948.  1
2014 Nishihara R, Jegelka S, Jordan MI. On the convergence rate of decomposable submodular function minimization Advances in Neural Information Processing Systems. 1: 640-648.  1
2014 Lindsten F, Jordan MI, Schön TB. Particle gibbs with ancestor sampling Journal of Machine Learning Research. 15: 2145-2184.  1
2014 Pan X, Jegelka S, Gonzalez J, Bradley J, Jordan MI. Parallel double greedy submodular maximization Advances in Neural Information Processing Systems. 1: 118-126.  1
2014 Fox EB, Hughes MC, Sudderth EB, Jordan MI. Joint modeling of multiple time series via the beta process with application to motion capture segmentation Annals of Applied Statistics. 8.  1
2014 Jaggi M, Smith V, Takáč M, Terhorst J, Krishnan S, Hofmann T, Jordan MI. Communication-efficient distributed dual coordinate ascent Advances in Neural Information Processing Systems. 4: 3068-3076.  1
2014 Zhang Y, Chen X, Zhou D, Jordan MI. Spectral methods meet EM: A provably optimal algorithm for crowdsourcing Advances in Neural Information Processing Systems. 2: 1260-1268.  1
2014 Mozafari B, Sarkar P, Franklin MM, Jordan M, Madden S. Scaling up crowdsourcing to very large datasets: A case for active learning Proceedings of the Vldb Endowment. 8: 125-136.  1
2013 Muratore KE, Engelhardt BE, Srouji JR, Jordan MI, Brenner SE, Kirsch JF. Molecular function prediction for a family exhibiting evolutionary tendencies toward substrate specificity swapping: recurrence of tyrosine aminotransferase activity in the Iα subfamily. Proteins. 81: 1593-609. PMID 23671031 DOI: 10.1002/prot.24318  1
2013 Chandrasekaran V, Jordan MI. Computational and statistical tradeoffs via convex relaxation. Proceedings of the National Academy of Sciences of the United States of America. 110: E1181-90. PMID 23479655 DOI: 10.1073/pnas.1302293110  1
2013 Bouchard-Côté A, Jordan MI. Evolutionary inference via the Poisson Indel Process. Proceedings of the National Academy of Sciences of the United States of America. 110: 1160-6. PMID 23275296 DOI: 10.1073/pnas.1220450110  1
2013 Jordan MI. On statistics, computation and scalability Bernoulli. 19: 1378-1390. DOI: 10.3150/12-BEJSP17  1
2013 Broderick T, Jordan MI, Pitman J. Cluster and feature modeling from combinatorial stochastic processes Statistical Science. 28: 289-312. DOI: 10.1214/13-STS434  1
2013 Broderick T, Pitman J, Jordan MI. Feature allocations, probability functions, and paintboxes Bayesian Analysis. 8: 801-836. DOI: 10.1214/13-BA823  1
2013 Duchi JC, Mackey L, Jordan MI. The asymptotics of ranking algorithms Annals of Statistics. 41: 2292-2323. DOI: 10.1214/13-AOS1142  1
2013 Liang P, Jordan MI, Klein D. Learning dependency-based compositional semantics Computational Linguistics. 39: 389-446. DOI: 10.1162/COLI_a_00127  1
2013 Sparks ER, Talwalkar A, Smith V, Kottalam J, Pan X, Gonzalez J, Franklin MJ, Jordan MI, Kraska T. MLI: An API for distributed machine learning Proceedings - Ieee International Conference On Data Mining, Icdm. 1187-1192. DOI: 10.1109/ICDM.2013.158  1
2013 Talwalkar A, MacKey L, Mu Y, Chang SF, Jordan MI. Distributed low-rank subspace segmentation Proceedings of the Ieee International Conference On Computer Vision. 3543-3550. DOI: 10.1109/ICCV.2013.440  1
2013 Duchi JC, Jordan MI, Wainwright MJ. Local privacy and statistical minimax rates Proceedings - Annual Ieee Symposium On Foundations of Computer Science, Focs. 429-438. DOI: 10.1109/FOCS.2013.53  1
2013 Yan D, Chen A, Jordan MI. Cluster forests Computational Statistics and Data Analysis. 66: 178-192. DOI: 10.1016/j.csda.2013.04.010  1
2013 Lindsten F, Schön TB, Jordan MI. Bayesian semiparametric Wiener system identification Automatica. 49: 2053-2063. DOI: 10.1016/j.automatica.2013.03.021  1
2013 Pan X, Gonzalez J, Jegelka S, Broderick T, Jordan MI. Optimistic concurrency control for distributed unsupervised learning Advances in Neural Information Processing Systems 1
2013 Wauthier FL, Jordan MI, Jojic N. Efficient ranking from pairwise comparisons 30th International Conference On Machine Learning, Icml 2013. 1146-1154.  1
2013 Zhang Y, Duchi JC, Jordan MI, Wainwright MJ. Information-theoretic lower bounds for distributed statistical estimation with communication constraints Advances in Neural Information Processing Systems 1
2013 Wauthier FL, Jojic N, Jordan MI. A comparative framework for Preconditioned Lasso algorithms Advances in Neural Information Processing Systems 1
2013 Broderick T, Kulis B, Jordan MI. MAD-Bayes: MAP-based asymptotic derivations from Bayes 30th International Conference On Machine Learning, Icml 2013. 1263-1271.  1
2013 Duchi JC, Jordan MI, Wainwright MJ. Local privacy and minimax bounds: Sharp rates for probability estimation Advances in Neural Information Processing Systems 1
2013 Broderick T, Boyd N, Wibisono A, Wilson AC, Jordan MI. Streaming variational bayes Advances in Neural Information Processing Systems 1
2013 Duchi JC, Jordan MI, McMahan HB. Estimation, optimization, and parallelism when data is sparse Advances in Neural Information Processing Systems 1
2012 Bouchard-Côté A, Sankararaman S, Jordan MI. Phylogenetic inference via sequential Monte Carlo. Systematic Biology. 61: 579-93. PMID 22223445 DOI: 10.1093/sysbio/syr131  1
2012 Lindsten F, Schön TB, Jordan MI. A semiparametric Bayesian approach to Wiener system identification Ifac Proceedings Volumes (Ifac-Papersonline). 16: 1137-1142. DOI: 10.3182/20120711-3-BE-2027.00274  1
2012 Broderick T, Jordan MI, Pitman J. Beta processes, stick-breaking and power laws Bayesian Analysis. 7: 439-476. DOI: 10.1214/12-BA715  1
2012 Wauthier FL, Jojic N, Jordan MI. Active spectral clustering via iterative uncertainty reduction Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 1339-1347. DOI: 10.1145/2339530.2339737  1
2012 Duchi JC, Agarwal A, Johansson M, Jordan MI. Ergodic mirror descent Siam Journal On Optimization. 22: 1549-1578. DOI: 10.1137/110836043  1
2012 Lukowicz P, Nanda S, Narayanan V, Albelson H, McGuinness DL, Jordan MI. Qualcomm context-awareness symposium sets research agenda for context-aware smartphones Ieee Pervasive Computing. 11: 76-79. DOI: 10.1109/MPRV.2012.12  1
2012 Ickstadt K, Bornkamp B, Grzegorczyk M, Wieczorek J, Sheriff MR, Grecco HE, Zamir E, Jordan MI. Nonparametric Bayesian Networks Bayesian Statistics 9. DOI: 10.1093/acprof:oso/9780199694587.003.0010  1
2012 Jiang K, Kulis B, Jordan MI. Small-variance asymptotics for exponential family Dirichlet process mixture models Advances in Neural Information Processing Systems. 4: 3158-3166.  1
2012 Lindsten F, Jordan MI, Schön TB. Ancestor sampling for particle Gibbs Advances in Neural Information Processing Systems. 4: 2591-2599.  1
2012 Duchi JC, Jordan MI, Wainwright MJ, Wibisono A. Finite sample convergence rates of zero-order stochastic optimization methods Advances in Neural Information Processing Systems. 2: 1439-1447.  1
2012 Paisley J, Blei DM, Jordan MI. Variational Bayesian inference with stochastic search Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 2: 1367-1374.  1
2012 Sarkar P, Chakrabarti D, Jordan MI. Nonparametric link prediction in dynamic networks Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 2: 1687-1694.  1
2012 Kleiner A, Talwalkar A, Sarkar P, Jordan MI. The big data bootstrap Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 2: 1759-1766.  1
2012 Kulis B, Jordan MI. Revisiting k-means: New algorithms via Bayesian nonparametrics Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 1: 513-520.  1
2012 Zhang Z, Liu D, Dai G, Jordan MI. Coherence functions with applications in large-margin classification methods Journal of Machine Learning Research. 13: 2705-2734.  1
2012 Zhang Z, Wang S, Liu D, Jordan MI. EP-GIG priors and applications in bayesian sparse learning Journal of Machine Learning Research. 13: 2031-2061.  1
2012 Paisley J, Blei DM, Jordan MI. Stick-breaking beta processes and the poisson process Journal of Machine Learning Research. 22: 850-858.  1
2011 Carin L, Baraniuk RG, Cevher V, Dunson D, Jordan MI, Sapiro G, Wakin MB. Learning Low-Dimensional Signal Models: A Bayesian approach based on incomplete measurements. Ieee Signal Processing Magazine. 28. PMID 24363544 DOI: 10.1109/MSP.2010.939733  1
2011 Wauthier FL, Jordan MI, Jojic N. Nonparametric combinatorial sequence models. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 18: 1649-60. PMID 22047543 DOI: 10.1089/cmb.2011.0175  1
2011 Engelhardt BE, Jordan MI, Srouji JR, Brenner SE. Genome-scale phylogenetic function annotation of large and diverse protein families. Genome Research. 21: 1969-80. PMID 21784873 DOI: 10.1101/gr.104687.109  1
2011 Fox EB, Sudderth EB, Jordan MI, Willsky AS. A sticky HDP-HMM with application to speaker diarization Annals of Applied Statistics. 5: 1020-1056. DOI: 10.1214/10-AOAS395  1
2011 Sutton C, Jordan MI. Bayesian inference for queueing networks and modeling of internet services Annals of Applied Statistics. 5: 254-282. DOI: 10.1214/10-AOAS392  1
2011 Obozinski G, Wainwright MJ, Jordan MI. Support union recovery in high-dimensional multivariate regression Annals of Statistics. 39: 1-47. DOI: 10.1214/09-AOS776  1
2011 Chowdhury M, Zaharia M, Ma J, Jordan MI, Stoica I. Managing data transfers in computer clusters with orchestra Proceedings of the Acm Sigcomm 2011 Conference, Sigcomm'11. 98-109. DOI: 10.1145/2018436.2018448  1
2011 Fox E, Sudderth EB, Jordan MI, Willsky AS. Bayesian nonparametric inference of switching dynamic linear models Ieee Transactions On Signal Processing. 59: 1569-1585. DOI: 10.1109/TSP.2010.2102756  1
2011 Shyr A, Darrell T, Jordan M, Urtasun R. Supervised hierarchical Pitman-Yor process for natural scene segmentation Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2281-2288. DOI: 10.1109/CVPR.2011.5995647  1
2011 Huang MY, Mackey L, Keränen SVE, Weber GH, Jordan MI, Knowles DW, Biggin MD, Hamann B. Visually relating gene expression and in vivo DNA binding data Proceedings - 2011 Ieee International Conference On Bioinformatics and Biomedicine, Bibm 2011. 586-589. DOI: 10.1109/BIBM.2011.85  1
2011 MacKey L, Talwalkar A, Jordan MI. Divide-and-conquer matrix factorization Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011 1
2011 Wang P, Laskey KB, Domeniconi C, Jordan MI. Nonparametric Bayesian co-clustering ensembles Proceedings of the 11th Siam International Conference On Data Mining, Sdm 2011. 331-342.  1
2011 Wauthier FL, Jordan MI. Bayesian bias mitigation for crowdsourcing Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011 1
2011 Niu D, Dy JG, Jordan MI. Dimensionality reduction for spectral clustering Journal of Machine Learning Research. 15: 552-560.  1
2011 Guan Y, Dy JG, Jordan MI. A unified probabilistic model for global and local unsupervised feature selection Proceedings of the 28th International Conference On Machine Learning, Icml 2011. 1073-1080.  1
2011 Zhang Z, Dai G, Jordan MI. Bayesian generalized kernel mixed models Journal of Machine Learning Research. 12: 111-139.  1
2010 Ting D, Wang G, Shapovalov M, Mitra R, Jordan MI, Dunbrack RL. Neighbor-dependent Ramachandran probability distributions of amino acids developed from a hierarchical Dirichlet process model. Plos Computational Biology. 6: e1000763. PMID 20442867 DOI: 10.1371/journal.pcbi.1000763  1
2010 Blum B, Jordan MI, Baker D. Feature space resampling for protein conformational search. Proteins. 78: 1583-93. PMID 20131376 DOI: 10.1002/prot.22677  1
2010 Sankararaman S, Sha F, Kirsch JF, Jordan MI, Sjölander K. Active site prediction using evolutionary and structural information. Bioinformatics (Oxford, England). 26: 617-24. PMID 20080507 DOI: 10.1093/bioinformatics/btq008  1
2010 Ding C, Li T, Jordan MI. Convex and semi-nonnegative matrix factorizations. Ieee Transactions On Pattern Analysis and Machine Intelligence. 32: 45-55. PMID 19926898 DOI: 10.1109/TPAMI.2008.277  1
2010 Bodík P, Fox A, Franklin MJ, Jordan MI, Patterson DA. Characterizing, modeling, and generating workload spikes for stateful services Proceedings of the 1st Acm Symposium On Cloud Computing, Socc '10. 241-252. DOI: 10.1145/1807128.1807166  1
2010 Blei DM, Griffiths TL, Jordan MI. The nested Chinese restaurant process and Bayesian nonparametric inference of topic hierarchies Journal of the Acm. 57. DOI: 10.1145/1667053.1667056  1
2010 Xu W, Huang L, Fox A, Patterson D, Jordan MI. Detecting large-scale system problems by mining console logs Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 37-44. DOI: 10.1145/1629575.1629587  1
2010 Nguyen X, Wainwright MJ, Jordan MI. Estimating divergence functionals and the likelihood ratio by convex risk minimization Ieee Transactions On Information Theory. 56: 5847-5861. DOI: 10.1109/TIT.2010.2068870  1
2010 Jordan MI, Sudderth EB, Wainwright M, Willsky AS. Major advances and emerging developments of graphical models Ieee Signal Processing Magazine. 27: 17+138. DOI: 10.1109/MSP.2010.938115  1
2010 Fox E, Sudderth E, Jordan M, Willsky A. Bayesian nonparametric methods for learning markov switching processes Ieee Signal Processing Magazine. 27: 43-54. DOI: 10.1109/MSP.2010.937999  1
2010 Shyr A, Urtasun R, Jordan MI. Sufficient dimension reduction for visual sequence classification Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 3610-3617. DOI: 10.1109/CVPR.2010.5539922  1
2010 Obozinski G, Taskar B, Jordan MI. Joint covariate selection and joint subspace selection for multiple classification problems Statistics and Computing. 20: 231-252. DOI: 10.1007/s11222-008-9111-x  1
2010 Wang M, Sha F, Jordan MI. Unsupervised kernel dimension reduction Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010 1
2010 Adams RP, Ghahramani Z, Jordan MI. Tree-structured stick breaking for hierarchical data Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010 1
2010 Wauthier FL, Jordan MI. Heavy-tailed process priors for selective shrinkage Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010 1
2010 Kleiner A, Rahimi A, Jordan MI. Random Conic Pursuit for semidefinite programming Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010 1
2010 Simma A, Jordan MI. Modeling events with cascades of Poisson processes Proceedings of the 26th Conference On Uncertainty in Artificial Intelligence, Uai 2010. 546-555.  1
2010 Sutton C, Jordan MI. Inference and learning in networks of queues Journal of Machine Learning Research. 9: 796-803.  1
2010 Liang P, Jordan MI, Klein D. Type-based MCMC Naacl Hlt 2010 - Human Language Technologies: the 2010 Annual Conference of the North American Chapter of the Association For Computational Linguistics, Proceedings of the Main Conference. 573-581.  1
2010 Bouchard-Côté A, Jordan MI. Variational inference over combinatorial spaces Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010 1
2010 Zhang Z, Dai G, Wang D, Jordan MI. Bayesian generalized kernel models Journal of Machine Learning Research. 9: 972-979.  1
2010 Zhang Z, Dai G, Jordan MI. Matrix-variate Dirichlet process mixture models Journal of Machine Learning Research. 9: 980-987.  1
2010 Duchi JC, Mackey LW, Jordan MI. On the consistency of ranking algorithms Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 327-334.  1
2010 Ting D, Huang L, Jordan MI. An analysis of the convergence of graph Laplacians Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 1079-1086.  1
2010 Niu D, Dy JG, Jordan MI. Multiple non-redundant spectral clustering views Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 831-838.  1
2010 Mackey L, Weiss D, Jordan MI. Mixed membership matrix factorization Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 711-718.  1
2010 Liang P, Jordan MI, Klein D. Learning programs: A hierarchical Bayesian approach Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 639-646.  1
2010 Zhang Z, Dai G, Xu C, Jordan MI. Regularized discriminant analysis, ridge regression and beyond Journal of Machine Learning Research. 11: 2199-2228.  1
2009 Engelhardt BE, Jordan MI, Repo ST, Brenner SE. Phylogenetic molecular function annotation. Journal of Physics. Conference Series. 180: 12024. PMID 20664722 DOI: 10.1088/1742-6596/180/1/012024  1
2009 Sankararaman S, Obozinski G, Jordan MI, Halperin E. Genomic privacy and limits of individual detection in a pool. Nature Genetics. 41: 965-7. PMID 19701190 DOI: 10.1038/ng.436  1
2009 Yin J, Jordan MI, Song YS. Joint estimation of gene conversion rates and mean conversion tract lengths from population SNP data. Bioinformatics (Oxford, England). 25: i231-9. PMID 19477993 DOI: 10.1093/bioinformatics/btp229  1
2009 Fox EB, Sudderth EB, Jordan MI, Willsky AS. Nonparametric Bayesian identification of jump systems with sparse dependencies Ifac Proceedings Volumes (Ifac-Papersonline). 15: 1591-1596. DOI: 10.3182/20090706-3-FR-2004.0328  1
2009 Fukumizu K, Bach FR, Jordan MI. Kernel dimension reduction in regression Annals of Statistics. 37: 1871-1905. DOI: 10.1214/08-AOS637  1
2009 Nguyen X, Wainwright MJ, Jordan MI. ON surrogate loss functions and f-divergences Annals of Statistics. 37: 876-904. DOI: 10.1214/08-AOS595  1
2009 Yan D, Huang L, Jordan MI. Fast approximate spectral clustering Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 907-915. DOI: 10.1145/1557019.1557118  1
2009 Liang P, Jordan MI, Klein D. Learning from measurements in exponential families Proceedings of the 26th International Conference On Machine Learning, Icml 2009. 641-648. DOI: 10.1145/1553374.1553457  1
2009 Zhang Z, Dai G, Jordan MI. A flexible and efficient algorithm for regularized fisher discriminant analysis Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5782: 632-647. DOI: 10.1007/978-3-642-04174-7_41  1
2009 Bach FR, Jordan MI. Spectral Clustering for Speech Separation Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods. 221-250. DOI: 10.1002/9780470742044.ch13  1
2009 Lacoste-Julien S, Sha F, Jordan MI. DiscLDA: Discriminative learning for dimensionality reduction and classification Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 897-904.  1
2009 Miller KT, Griffiths TL, Jordan MI. Nonparametric latent feature models for link prediction Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1276-1284.  1
2009 Liang P, Klein D, Jordan MI. Agreement-based learning Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference 1
2009 Blum B, Jordan MI, Kim DE, Das R, Bradley P, Baker D. Feature selection methods for improving protein structure prediction with Rosetta Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference 1
2009 Bouchard-Côté A, Jordan MI. Optimization of structured mean field objectives Proceedings of the 25th Conference On Uncertainty in Artificial Intelligence, Uai 2009. 67-74.  1
2009 Bouchard-Côté A, Jordan MI, Klein D. Efficient inference in phylogenetic InDel trees Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 177-184.  1
2009 Obozinski G, Wainwright MJ, Jordan MI. High-dimensional support union recovery in multivariate regression Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1217-1224.  1
2009 Huang L, Yan D, Jordan MI, Taft N. Spectral clustering with perturbed data Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 705-712.  1
2009 Nguyen XL, Wainwright MJ, Jordan MI. Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference 1
2009 Liang P, Bach F, Bouchard G, Jordan MI. Asymptotically optimal regularization in smooth parametric models Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1132-1140.  1
2009 Zhang Z, Jordan MI, Yeung DY. Posterior consistency of the silverman g-prior in Bayesian model choice Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1969-1976.  1
2009 Fox EB, Sudderth EB, Jordan MI, Willsky AS. Nonparametric Bayesian learning of switching linear dynamical systems Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 457-464.  1
2009 Liang P, Jordan MI, Klein D. Learning semantic correspondences with less supervision Acl-Ijcnlp 2009 - Joint Conf. of the 47th Annual Meeting of the Association For Computational Linguistics and 4th Int. Joint Conf. On Natural Language Processing of the Afnlp, Proceedings of the Conf.. 91-99.  1
2009 Zhang Z, Jordan MI, Li WJ, Yeung DY. Coherence functions for multicategory margin-based classification methods Journal of Machine Learning Research. 5: 647-654.  1
2009 Zhang Z, Jordan MI. Latent variable models for dimensionality reduction Journal of Machine Learning Research. 5: 655-662.  1
2009 Sudderth EB, Jordan MI. Shared segmentation of natural scenes using dependent Pitman-Yor processes Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1585-1592.  1
2009 Fox EB, Sudderth EB, Jordan MI, Willsky AS. Sharing features among dynamical systems with beta processes Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 549-557.  1
2009 Jordan MI. Applied nonparametric Bayes Society For Industrial and Applied Mathematics - 9th Siam International Conference On Data Mining 2009, Proceedings in Applied Mathematics. 3: 1638.  1
2009 Bodík P, Griffith R, Sutton C, Fox A, Jordan MI, Patterson DA. Automatic exploration of datacenter performance regimes Proceedings of the 1st Workshop On Automated Control For Datacenters and Clouds, Acdc '09. 1-6.  1
2008 Kimmel G, Karp RM, Jordan MI, Halperin E. Association mapping and significance estimation via the coalescent. American Journal of Human Genetics. 83: 675-83. PMID 19026399 DOI: 10.1016/j.ajhg.2008.10.017  1
2008 Flaherty P, Radhakrishnan ML, Dinh T, Rebres RA, Roach TI, Jordan MI, Arkin AP. A dual receptor crosstalk model of G-protein-coupled signal transduction. Plos Computational Biology. 4: e1000185. PMID 18818727 DOI: 10.1371/journal.pcbi.1000185  1
2008 Obozinski G, Lanckriet G, Grant C, Jordan MI, Noble WS. Consistent probabilistic outputs for protein function prediction. Genome Biology. 9: S6. PMID 18613950 DOI: 10.1186/gb-2008-9-s1-s6  1
2008 Peña-Castillo L, Tasan M, Myers CL, Lee H, Joshi T, Zhang C, Guan Y, Leone M, Pagnani A, Kim WK, Krumpelman C, Tian W, Obozinski G, Qi Y, Mostafavi S, ... ... Jordan MI, et al. A critical assessment of Mus musculus gene function prediction using integrated genomic evidence. Genome Biology. 9: S2. PMID 18613946 DOI: 10.1186/gb-2008-9-s1-s2  1
2008 Sankararaman S, Kimmel G, Halperin E, Jordan MI. On the inference of ancestries in admixed populations. Genome Research. 18: 668-75. PMID 18353809 DOI: 10.1101/gr.072751.107  1
2008 Wainwright MJ, Jordan MI. Graphical models, exponential families, and variational inference Foundations and Trends in Machine Learning. 1: 1-305. DOI: 10.1561/2200000001  1
2008 Zhang Z, Jordan MI. Multiway spectral clustering: A maragin-based persoective Statistical Science. 23: 383-403. DOI: 10.1214/08-STS266  1
2008 Nguyen XL, Wainwright MJ, Jordan MI. On optimal quantization rules for some problems in sequential decentralized detection Ieee Transactions On Information Theory. 54: 3285-3295. DOI: 10.1109/TIT.2008.924647  1
2008 Ding C, Li T, Jordan MI. Nonnegative matrix factorization for combinatorial optimization: Spectral clustering, graph matching, and clique finding Proceedings - Ieee International Conference On Data Mining, Icdm. 183-192. DOI: 10.1109/ICDM.2008.130  1
2008 Obozinski G, Wainwright MJ, Jordan MI. Union support recovery in high-dimensional multivariate regression 46th Annual Allerton Conference On Communication, Control, and Computing. 21-26. DOI: 10.1109/ALLERTON.2008.4797530  1
2008 Miller KT, Griffiths TL, Jordan MI. The phylogenetic Indian buffet process: A non-exchangeable nonparametric prior for latent features Proceedings of the 24th Conference On Uncertainty in Artificial Intelligence, Uai 2008. 403-407.  1
2008 Liang P, Jordan MI. An asymptotic analysis of generative, discriminative, and pseudolikelihood estimators Proceedings of the 25th International Conference On Machine Learning. 584-591.  1
2008 Fox EB, Sudderth EB, Jordan MI, Willsky AS. An HDP-HMM for systems with state persistence Proceedings of the 25th International Conference On Machine Learning. 312-319.  1
2007 Kimmel G, Jordan MI, Halperin E, Shamir R, Karp RM. A randomization test for controlling population stratification in whole-genome association studies. American Journal of Human Genetics. 81: 895-905. PMID 17924333 DOI: 10.1086/521372  1
2007 Xing EP, Jordan MI, Sharan R. Bayesian haplotype inference via the Dirichlet process. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 14: 267-84. PMID 17563311 DOI: 10.1089/cmb.2006.0102  1
2007 Nilsson J, Sha F, Jordan MI. Regression on manifolds using kernel dimension reduction Acm International Conference Proceeding Series. 227: 697-704. DOI: 10.1145/1273496.1273584  1
2007 Liang P, Jordan MI, Taskar B. A permutation-augmented sampler for DP mixture models Acm International Conference Proceeding Series. 227: 545-552. DOI: 10.1145/1273496.1273565  1
2007 d'Aspremont A, El Ghaoui L, Jordan MI, Lanckriet GRG. A direct formulation for sparse PCA using semidefinite programming Siam Review. 49: 434-448. DOI: 10.1137/050645506  1
2007 Nguyen XL, Wainwright MJ, Jordan MI. Nonparametric estimation of the likelihood ratio and divergence functionals Ieee International Symposium On Information Theory - Proceedings. 2016-2020. DOI: 10.1109/ISIT.2007.4557517  1
2007 Huang L, Nguyen X, Garofalakis M, Hellerstein JM, Jordan MI, Joseph AD, Taftt N. Communication-efficient online detection of network-wide anomalies Proceedings - Ieee Infocom. 134-142. DOI: 10.1109/INFCOM.2007.24  1
2007 Li T, Ding C, Jordan MI. Solving consensus and semi-supervised clustering problems using nonnegative matrix factorization Proceedings - Ieee International Conference On Data Mining, Icdm. 577-582. DOI: 10.1109/ICDM.2007.98  1
2007 Kivinen JJ, Sudderth EB, Jordan MI. Learning multiscale representations of natural scenes using dirichlet processes Proceedings of the Ieee International Conference On Computer Vision. DOI: 10.1109/ICCV.2007.4408870  1
2007 Huang L, Nguyen XL, Garofalakis M, Jordan MI, Joseph A, Taft N. In-network PCA and anomaly detection Advances in Neural Information Processing Systems. 617-624.  1
2007 Liang P, Petrov S, Jordan MI, Klein D. The infinite PCFG using hierarchical dirichlet processes Emnlp-Conll 2007 - Proceedings of the 2007 Joint Conference On Empirical Methods in Natural Language Processing and Computational Natural Language Learning. 688-697.  1
2007 Thibaux R, Jordan MI. Hierarchical beta processes and the Indian buffet process Journal of Machine Learning Research. 2: 564-571.  1
2006 Blei DM, Franks K, Jordan MI, Mian IS. Statistical modeling of biomedical corpora: mining the Caenorhabditis Genetic Center Bibliography for genes related to life span. Bmc Bioinformatics. 7: 250. PMID 16681860 DOI: 10.1186/1471-2105-7-250  1
2006 Bartlett PL, Jordan MI, McAuliffe JD. Comment Statistical Science. 21: 341-346. DOI: 10.1214/088342306000000475  1
2006 Blei DM, Jordan MI. Variational inference for Dirichlet process mixtures Bayesian Analysis. 1: 121-144. DOI: 10.1214/06-BA104  1
2006 Teh YW, Jordan MI, Beal MJ, Blei DM. Hierarchical Dirichlet processes Journal of the American Statistical Association. 101: 1566-1581. DOI: 10.1198/016214506000000302  1
2006 Bartlett PL, Jordan MI, McAuliffe JD. Convexity, classification, and risk bounds Journal of the American Statistical Association. 101: 138-156. DOI: 10.1198/016214505000000907  1
2006 Zheng AX, Jordan MI, Liblit B, Naik M, Aiken A. Statistical debugging: Simultaneous identification of multiple bugs Acm International Conference Proceeding Series. 148: 1105-1112. DOI: 10.1145/1143844.1143983  1
2006 Xing EP, Sohn KA, Jordan MI, Teh YW. Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture Acm International Conference Proceeding Series. 148: 1049-1056. DOI: 10.1145/1143844.1143976  1
2006 Engelhardt BE, Jordan MI, Brenner SE. A graphical model for predicting protein molecular function Acm International Conference Proceeding Series. 148: 297-304. DOI: 10.1145/1143844.1143882  1
2006 Wainwright MJ, Jordan MI. Log-determinant relaxation for approximate inference in discrete Markov random fields Ieee Transactions On Signal Processing. 54: 2099-2109. DOI: 10.1109/TSP.2006.874409  1
2006 Nguyen X, Wainwright MJ, Jordan MI. On optimal quantization rules for sequential decision problems Ieee International Symposium On Information Theory - Proceedings. 2652-2656. DOI: 10.1109/ISIT.2006.262134  1
2006 Kivinen JJ, Sudderth EB, Jordan MI. Image denoising with nonparametric hidden Markov trees Proceedings - International Conference On Image Processing, Icip. 3: III121-III124. DOI: 10.1109/ICIP.2007.4379261  1
2006 McAuliffe JD, Blei DM, Jordan MI. Nonparametric empirical Bayes for the Dirichlet process mixture model Statistics and Computing. 16: 5-14. DOI: 10.1007/s11222-006-5196-2  1
2006 Lacoste-Julien S, Ben T, Klein D, Jordan MI. Word alignment via quadratic assignment Hlt-Naacl 2006 - Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings of the Main Conference. 112-119.  1
2006 Zhang Z, Jordan MI. Bayesian multicategory support vector machines Proceedings of the 22nd Conference On Uncertainty in Artificial Intelligence, Uai 2006. 552-559.  1
2006 Bach FR, Jordan MI. Learning spectral clustering, with application to speech separation Journal of Machine Learning Research. 7: 1963-2001.  1
2006 Taskar B, Lacoste-Julien S, Jordan MI. Structured prediction, dual extragradient and bregman projections Journal of Machine Learning Research. 7: 1627-1653.  1
2006 Bach FR, Jordan MI. Learning spectral clustering, with application to speech separation Journal of Machine Learning Research. 7: 1963-2001.  1
2005 Engelhardt BE, Jordan MI, Muratore KE, Brenner SE. Protein molecular function prediction by Bayesian phylogenomics. Plos Computational Biology. 1: e45. PMID 16217548 DOI: 10.1371/journal.pcbi.0010045  1
2005 Lee W, St Onge RP, Proctor M, Flaherty P, Jordan MI, Arkin AP, Davis RW, Nislow C, Giaever G. Genome-wide requirements for resistance to functionally distinct DNA-damaging agents. Plos Genetics. 1: e24. PMID 16121259 DOI: 10.1371/journal.pgen.0010024  1
2005 Flaherty P, Giaever G, Kumm J, Jordan MI, Arkin AP. A latent variable model for chemogenomic profiling. Bioinformatics (Oxford, England). 21: 3286-93. PMID 15919724 DOI: 10.1093/bioinformatics/bti515  1
2005 McAuliffe JD, Jordan MI, Pachter L. Subtree power analysis and species selection for comparative genomics. Proceedings of the National Academy of Sciences of the United States of America. 102: 7900-5. PMID 15911755 DOI: 10.1073/pnas.0502790102  1
2005 Gyaneshwar P, Paliy O, McAuliffe J, Jones A, Jordan MI, Kustu S. Lessons from Escherichia coli genes similarly regulated in response to nitrogen and sulfur limitation. Proceedings of the National Academy of Sciences of the United States of America. 102: 3453-8. PMID 15716358 DOI: 10.1073/pnas.0500141102  1
2005 Gyaneshwar P, Paliy O, McAuliffe J, Popham DL, Jordan MI, Kustu S. Sulfur and nitrogen limitation in Escherichia coli K-12: specific homeostatic responses. Journal of Bacteriology. 187: 1074-90. PMID 15659685 DOI: 10.1128/JB.187.3.1074-1090.2005  1
2005 Liblit B, Naik M, Zheng AX, Aiken A, Jordan MI. Scalable Statistical bug isolation Acm Sigplan Notices. 40: 15-26. DOI: 10.1145/1064978.1065014  1
2005 Nguyen X, Wainwright MJ, Jordan MI. Nonparametric decentralized detection using kernel methods Ieee Transactions On Signal Processing. 53: 4053-4066. DOI: 10.1109/TSP.2005.857020  1
2005 Vogel BK, Jordan MI, Wessel D. Multi-instrument musical transcription using a dynamic graphical model Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. V493-V496. DOI: 10.1109/ICASSP.2005.1416348  1
2005 Bach FR, Jordan MI. Discriminative training of hidden Markov models for multiple pitch tracking Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. V489-V492. DOI: 10.1109/ICASSP.2005.1416347  1
2005 Bodík P, Friedman G, Biewald L, Levine H, Candea G, Patel K, Tolle G, Hui J, Fox A, Jordan MI, Patterson D. Combining visualization and statistical analysis to improve operator confidence and efficiency for failure detection and localization Proceedings - Second International Conference On Autonomic Computing, Icac 2005. 2005: 89-100. DOI: 10.1109/ICAC.2005.18  1
2005 Lawrence ND, Platt JC, Jordan MI. Extensions of the informative vector machine Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3635: 56-87. DOI: 10.1007/11559887_4  1
2005 Teh YW, Seeger M, Jordan MI. Semiparametric latent factor models Aistats 2005 - Proceedings of the 10th International Workshop On Artificial Intelligence and Statistics. 333-340.  1
2005 Bach FR, Jordan MI. Predictive low-rank decomposition for kernel methods Icml 2005 - Proceedings of the 22nd International Conference On Machine Learning. 33-40.  1
2005 Taskar B, Lacoste-Julien S, Jordan MI. Structured prediction via the extragradient method Advances in Neural Information Processing Systems. 1345-1352.  1
2005 Jordan MI. Dirichlet processes, Chinese restaurant processes, and all that Icml 2005 - Proceedings of the 22nd International Conference On Machine Learning. xxiv.  1
2005 Flaherty P, Jordan MI, Arkin AP. Robust design of biological experiments Advances in Neural Information Processing Systems. 363-370.  1
2005 Nguyen XL, Wainwright MJ, Jordan MI. Divergences, surrogate loss functions and experimental design Advances in Neural Information Processing Systems. 1011-1018.  1
2005 Rosen-Zvi M, Jordan MI, Yuille AL. The DLR hierarchy of approximate inference Proceedings of the 21st Conference On Uncertainty in Artificial Intelligence, Uai 2005. 493-500.  1
2005 Nguyen X, Wainwright MJ, Jordan MI. On information divergence measures, surrogate loss functions and decentralized hypothesis testing 43rd Annual Allerton Conference On Communication, Control and Computing 2005. 2: 846-855.  1
2005 Bach FR, Jordan MI. Blind one-microphone speech separation: A spectral learning approach Advances in Neural Information Processing Systems 1
2005 Lawrence ND, Jordan MI. Semi-supervised Learning via gaussian processes Advances in Neural Information Processing Systems 1
2005 Bach FR, Thibaux R, Jordan MI. Computing regularization paths for learning multiple kernels Advances in Neural Information Processing Systems 1
2004 Bhattacharyya C, Grate LR, Jordan MI, El Ghaoui L, Mian IS. Robust sparse hyperplane classifiers: application to uncertain molecular profiling data. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 11: 1073-89. PMID 15662199 DOI: 10.1089/cmb.2004.11.1073  1
2004 Xing EP, Wu W, Jordan MI, Karp RM. Logos: a modular bayesian model for de novo motif detection. Journal of Bioinformatics and Computational Biology. 2: 127-54. PMID 15272436 DOI: 10.1142/S0219720004000508  1
2004 Lanckriet GR, De Bie T, Cristianini N, Jordan MI, Noble WS. A statistical framework for genomic data fusion. Bioinformatics (Oxford, England). 20: 2626-35. PMID 15130933 DOI: 10.1093/bioinformatics/bth294  1
2004 Lanckriet GR, Deng M, Cristianini N, Jordan MI, Noble WS. Kernel-based data fusion and its application to protein function prediction in yeast. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 300-11. PMID 14992512  1
2004 McAuliffe JD, Pachter L, Jordan MI. Multiple-sequence functional annotation and the generalized hidden Markov phylogeny. Bioinformatics (Oxford, England). 20: 1850-60. PMID 14988105 DOI: 10.1093/bioinformatics/bth153  1
2004 Giaever G, Flaherty P, Kumm J, Proctor M, Nislow C, Jaramillo DF, Chu AM, Jordan MI, Arkin AP, Davis RW. Chemogenomic profiling: identifying the functional interactions of small molecules in yeast. Proceedings of the National Academy of Sciences of the United States of America. 101: 793-8. PMID 14718668 DOI: 10.1073/pnas.0307490100  1
2004 Bach FR, Jordan MI. Learning graphical models for stationary time series Ieee Transactions On Signal Processing. 52: 2189-2199. DOI: 10.1109/TSP.2004.831032  1
2004 Wainwright MJ, Jordan MI. Semidefinite relaxations for approximate inference on graphs with cycles Advances in Neural Information Processing Systems 1
2004 Blei DM, Jordan MI. Variational methods for the Dirichlet process Proceedings, Twenty-First International Conference On Machine Learning, Icml 2004. 89-96.  1
2004 Bach FR, Jordan MI. Beyond independent components: Trees and clusters Journal of Machine Learning Research. 4: 1205-1233.  1
2004 Nguyen XL, Jordan MI. On the concentration of expectation and approximate inference in layered networks Advances in Neural Information Processing Systems 1
2004 Ng AY, Kim HJ, Jordan MI, Sastry S. Autonomous helicopter flight via reinforcement learning Advances in Neural Information Processing Systems 1
2004 Nguyen X, Wainwright MJ, Jordan MI. Decentralized detection and classification using kernel methods Proceedings, Twenty-First International Conference On Machine Learning, Icml 2004. 631-638.  1
2004 Fukumizu K, Bach FR, Jordan MI. Dimensionality reduction for supervised learning with reproducing kernel Hilbert spaces Journal of Machine Learning Research. 5: 73-99.  1
2004 Fukumizu K, Bach FR, Jordan MI. Kernel dimensionality reduction for supervised learning Advances in Neural Information Processing Systems 1
2003 Xing EP, Wu W, Jordan MI, Karp RM. LOGOS: a modular Bayesian model for de novo motif detection. Proceedings / Ieee Computer Society Bioinformatics Conference. Ieee Computer Society Bioinformatics Conference. 2: 266-76. PMID 16452802 DOI: 10.1109/CSB.2003.1227327  1
2003 Corbin RW, Paliy O, Yang F, Shabanowitz J, Platt M, Lyons CE, Root K, McAuliffe J, Jordan MI, Kustu S, Soupene E, Hunt DF. Toward a protein profile of Escherichia coli: comparison to its transcription profile. Proceedings of the National Academy of Sciences of the United States of America. 100: 9232-7. PMID 12878731 DOI: 10.1073/pnas.1533294100  1
2003 Grate LR, Bhattacharyya C, Jordan MI, Mian IS. Integrated analysis of transcript profiling and protein sequence data. Mechanisms of Ageing and Development. 124: 109-14. PMID 12618013 DOI: 10.1016/S0047-6374(02)00174-4  1
2003 Bach FR, Jordan MI. Kernel independent component analysis Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 4: 876-879. DOI: 10.1162/153244303768966085  1
2003 Blei DM, Jordan MI. Modeling Annotated Data Sigir Forum (Acm Special Interest Group On Information Retrieval). 127-134.  1
2003 Wainwright MJ, Jordan MI. Semidefinite methods for approximate inference on graphs with cycles Ieee International Symposium On Information Theory - Proceedings. 248.  1
2003 Bach FR, Jordan MI. Learning graphical models with mercer kernels Advances in Neural Information Processing Systems 1
2003 Todorov E, Jordan MI. A minimal intervention principle for coordinated movement Advances in Neural Information Processing Systems 1
2003 Bach FR, Jordan MI. Kernel independent component analysis Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 4: 876-879.  1
2003 De Bernardinis F, Jordan MI, SangiovanniVincentelli A. Support vector machines for analog circuit performance representation Proceedings - Design Automation Conference. 964-969.  1
2003 Blei DM, Ng AY, Jordan MI. Latent Dirichlet allocation Journal of Machine Learning Research. 3: 993-1022.  1
2002 Todorov E, Jordan MI. Optimal feedback control as a theory of motor coordination. Nature Neuroscience. 5: 1226-35. PMID 12404008 DOI: 10.1038/nn963  1
2002 Houde JF, Jordan MI. Sensorimotor adaptation of speech I: Compensation and adaptation. Journal of Speech, Language, and Hearing Research : Jslhr. 45: 295-310. PMID 12003512  1
2002 Ng AY, Jordan MI. On discriminative vs. Generative classifiers: A comparison of logistic regression and naive bayes Advances in Neural Information Processing Systems 1
2002 Bach FR, Jordan MI. Thin junction trees Advances in Neural Information Processing Systems 1
2002 Grate LR, Bhattacharyya C, Jordan MI, Mian IS. Simultaneous relevant feature identification and classification in high-dimensional spaces Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2452: 1-9.  1
2002 Ng AY, Jordan MI, Weiss Y. On spectral clustering: Analysis and an algorithm Advances in Neural Information Processing Systems 1
2001 Meilǎ M, Jordan MI. Learning with mixtures of trees Journal of Machine Learning Research. 1: 1-48.  1
2001 Ng AY, Zheng AX, Jordan MI. Link analysis, eigenvectors and stability Ijcai International Joint Conference On Artificial Intelligence. 903-910.  1
2001 Ng AY, Zheng AX, Jordan MI. Stable algorithms for link analysis Sigir Forum (Acm Special Interest Group On Information Retrieval). 258-266.  1
2000 Ma J, Xu L, Jordan MI. Asymptotic convergence rate of the EM algorithm for gaussian mixtures Neural Computation. 12: 2881-907. PMID 11112259  1
2000 Saul LK, Jordan MI. Attractor dynamics in feedforward neural networks. Neural Computation. 12: 1313-35. PMID 10935715  1
2000 Jaakkola TS, Jordan MI. Bayesian parameter estimation via variational methods Statistics and Computing. 10: 25-37.  1
2000 Ng AY, Jordan MI. Approximate inference algorithms for two-layer Bayesian networks Advances in Neural Information Processing Systems. 533-539.  1
1999 Saul LK, Jordan MI. Mixed memory Markov models: Decomposing complex stochastic processes as mixtures of simpler ones Machine Learning. 37: 75-87. DOI: 10.1023/A:1007649326333  1
1999 Jaakkola TS, Jordan MI. Variational probabilistic inference and the QMR-DT network Journal of Artificial Intelligence Research. 10: 291-322.  1
1999 Hofmann T, Puzicha J, Jordan MI. Learning from dyadic data Advances in Neural Information Processing Systems. 466-472.  1
1998 Todorov E, Jordan MI. Smoothness maximization along a predefined path accurately predicts the speed profiles of complex arm movements. Journal of Neurophysiology. 80: 696-714. PMID 9705462  1
1998 Sabes PN, Jordan MI, Wolpert DM. The role of inertial sensitivity in motor planning. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 18: 5948-57. PMID 9671681  1
1998 Houde JF, Jordan MI. Sensorimotor adaptation in speech production. Science (New York, N.Y.). 279: 1213-6. PMID 9469813 DOI: 10.1126/science.279.5354.1213  1
1998 Meilǎ M, Jordan MI. Estimating dependency structure as a hidden variable Advances in Neural Information Processing Systems. 584-590.  1
1998 Houde JF, Jordan MI. Adaptation in speech motor control Advances in Neural Information Processing Systems. 38-44.  1
1998 Bishop CM, Lawrence N, Jaakkola T, Jordan MI. Approximating posterior distributions in belief networks using mixtures Advances in Neural Information Processing Systems. 416-422.  1
1997 Sabes PN, Jordan MI. Obstacle avoidance and a perturbation sensitivity model for motor planning. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 17: 7119-28. PMID 9278546  1
1997 Smyth P, Heckerman D, Jordan MI. Probabilistic independence networks for hidden Markov probability models. Neural Computation. 9: 227-69. PMID 9117903  1
1997 Jordan MI. Chapter 25 Serial order: A parallel distributed processing approach Advances in Psychology. 121: 471-495. DOI: 10.1016/S0166-4115(97)80111-2  1
1997 Saul LK, Jordan MI. A variational principle for model-based morphing Advances in Neural Information Processing Systems. 267-273.  1
1997 Meilǎ M, Jordan MI. Triangulation by continuous embedding Advances in Neural Information Processing Systems. 557-563.  1
1997 Jaakkola TS, Jordan MI. Recursive algorithms for approximating probabilities in graphical models Advances in Neural Information Processing Systems. 487-493.  1
1997 Ghahramani Z, Jordan MI. Factorial Hidden Markov Models Machine Learning. 29: 245-273.  1
1997 Jordan MI, Ghahramanit Z, Saul LK. Hidden Markov decision trees Advances in Neural Information Processing Systems. 501-507.  1
1996 Alpaydin E, Jordan MI. Local linear perceptrons for classification. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 7: 788-94. PMID 18263476 DOI: 10.1109/72.501737  1
1996 Ghahramani Z, Wolpert DM, Jordan MI. Generalization to local remappings of the visuomotor coordinate transformation. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 16: 7085-96. PMID 8824344  1
1996 Jordan MI. Chapter 2 Computational aspects of motor control and motor learning Handbook of Perception and Action. 2: 71-120. DOI: 10.1016/S1874-5822(06)80005-8  1
1996 Xu L, Jordan MI. On Convergence Properties of the EM Algorithm for Gaussian Mixtures Neural Computation. 8: 129-151.  1
1996 Cohn DA, Ghahramani Z, Jordan MI. Active learning with statistical models Journal of Artificial Intelligence Research. 4: 129-145.  1
1996 Saul LK, Jaakkola T, Jordan MI. Mean field theory for sigmoid belief networks Journal of Artificial Intelligence Research. 4: 61-76.  1
1995 Jordan MI. The Organization of Action Sequences: Evidence From a Relearning Task. Journal of Motor Behavior. 27: 179-192. PMID 12736126 DOI: 10.1080/00222895.1995.9941709  1
1995 Wolpert DM, Ghahramani Z, Jordan MI. Are arm trajectories planned in kinematic or dynamic coordinates? An adaptation study. Experimental Brain Research. 103: 460-70. PMID 7789452 DOI: 10.1007/BF00241505  1
1995 Wolpert DM, Ghahramani Z, Jordan MI. An internal model for sensorimotor integration. Science (New York, N.Y.). 269: 1880-2. PMID 7569931  1
1995 Perkell JS, Matthies ML, Svirsky MA, Jordan MI. Goal-based speech motor control: A theoretical framework and some preliminary data Journal of Phonetics. 23: 23-35. DOI: 10.1016/S0095-4470(95)80030-1  1
1995 Jordan MI, Xu L. Convergence results for the EM approach to mixtures of experts architectures Neural Networks. 8: 1409-1431. DOI: 10.1016/0893-6080(95)00014-3  1
1994 Jordan MI, Flash T, Arnon Y. A model of the learning of arm trajectories from spatial deviations. Journal of Cognitive Neuroscience. 6: 359-76. PMID 23961731 DOI: 10.1162/jocn.1994.6.4.359  1
1994 Wolpert DM, Ghahramani Z, Jordan MI. Perceptual distortion contributes to the curvature of human reaching movements. Experimental Brain Research. 98: 153-6. PMID 8013583 DOI: 10.1007/BF00229120  1
1993 Hirayama M, Kawato M, Jordan MI. The Cascade Neural Network Model and a Speed-Accuracy Trade-Off of Arm Movement. Journal of Motor Behavior. 25: 162-174. PMID 12581987 DOI: 10.1080/00222895.1993.9942047  1
1993 Perkell JS, Matthies ML, Svirsky MA, Jordan MI. Trading relations between tongue-body raising and lip rounding in production of the vowel /u/: a pilot "motor equivalence" study. The Journal of the Acoustical Society of America. 93: 2948-61. PMID 8315158 DOI: 10.1121/1.405814  1
1993 Jacobs RA, Jordan MI. Learning Piecewise Control Strategies in a Modular Neural Network Architecture Ieee Transactions On Systems, Man and Cybernetics. 23: 337-345. DOI: 10.1109/21.229447  1
1992 Jacobs RA, Jordan MI. Computational Consequences of a Bias toward Short Connections. Journal of Cognitive Neuroscience. 4: 323-36. PMID 23968126 DOI: 10.1162/jocn.1992.4.4.323  1
1992 Jordan MI, Rumelhart DE. Forward models: Supervised learning with a distal teacher Cognitive Science. 16: 307-354. DOI: 10.1016/0364-0213(92)90036-T  1
1992 Jordan MI. Constrained supervised learning Journal of Mathematical Psychology. 36: 396-425. DOI: 10.1016/0022-2496(92)90029-7  1
1991 Jacobs RA, Jordan MI, Nowlan SJ, Hinton GE. Adaptive Mixtures of Local Experts. Neural Computation. 3: 79-87. PMID 31141872 DOI: 10.1162/neco.1991.3.1.79  1
1991 Mazzoni P, Andersen RA, Jordan MI. A more biologically plausible learning rule for neural networks. Proceedings of the National Academy of Sciences of the United States of America. 88: 4433-7. PMID 1903542  1
1991 Mazzoni P, Andersen RA, Jordan MI. A more biologically plausible learning rule than backpropagation applied to a network model of cortical area 7a. Cerebral Cortex (New York, N.Y. : 1991). 1: 293-307. PMID 1822737 DOI: 10.1093/cercor/1.4.293  1
1991 Jacobs RA, Jordan MI, Barto AG. Task decomposition through competition in a modular connectionist architecture: The what and where vision tasks Cognitive Science. 15: 219-250. DOI: 10.1016/0364-0213(91)80006-Q  1
1990 Jordan MI. A non-empiricist perspective on learning in layered networks Behavioral and Brain Sciences. 13: 497-498. DOI: 10.1017/S0140525X0007984X  1
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