Michael I. Jordan - Publications

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

201 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
2023 Angelopoulos AN, Bates S, Fannjiang C, Jordan MI, Zrnic T. Prediction-powered inference. Science (New York, N.Y.). 382: 669-674. PMID 37943906 DOI: 10.1126/science.adi6000  0.779
2022 Fannjiang C, Bates S, Angelopoulos AN, Listgarten J, Jordan MI. Conformal prediction under feedback covariate shift for biomolecular design. Proceedings of the National Academy of Sciences of the United States of America. 119: e2204569119. PMID 36256807 DOI: 10.1073/pnas.2204569119  0.781
2020 Rabinovich M, Ramdas A, Jordan MI, Wainwright MJ. Optimal Rates and Tradeoffs in Multiple Testing Statistica Sinica. DOI: 10.5705/Ss.202017.0468  0.721
2020 Rabinovich M, Ramdas A, Jordan MI, Wainwright MJ. Function-Specific Mixing Times and Concentration Away from Equilibrium Bayesian Analysis. 15: 505-532. DOI: 10.1214/19-Ba1151  0.754
2020 El Alaoui A, Krzakala F, Jordan M. Fundamental limits of detection in the spiked Wigner model Annals of Statistics. 48: 863-885. DOI: 10.1214/19-Aos1826  0.302
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  0.324
2019 Ramdas AK, Barber RF, Wainwright MJ, Jordan MI. A unified treatment of multiple testing with prior knowledge using the p-filter The Annals of Statistics. 47: 2790-2821. DOI: 10.1214/18-Aos1765  0.75
2019 El Alaoui A, Ramdas A, Krzakala F, Zdeborova L, Jordan MI. Decoding From Pooled Data: Phase Transitions of Message Passing Ieee Transactions On Information Theory. 65: 572-585. DOI: 10.1109/Tit.2018.2855698  0.743
2019 Ramdas A, Chen J, Wainwright MJ, Jordan MI. A sequential algorithm for false discovery rate control on directed acyclic graphs Biometrika. 106: 69-86. DOI: 10.1093/Biomet/Asy066  0.78
2018 Broderick T, Wilson AC, Jordan MI. Posteriors, conjugacy, and exponential families for completely random measures Bernoulli. 24: 3181-3221. DOI: 10.3150/16-Bej855  0.76
2018 Mania H, Ramdas A, Wainwright MJ, Jordan MI, Recht B. On kernel methods for covariates that are rankings Electronic Journal of Statistics. 12: 2537-2577. DOI: 10.1214/18-Ejs1437  0.769
2018 Duchi JC, Jordan MI, Wainwright MJ. Minimax Optimal Procedures for Locally Private Estimation Journal of the American Statistical Association. 113: 182-201. DOI: 10.1080/01621459.2017.1389735  0.756
2017 Zhang Y, Wainwright MJ, Jordan MI. Optimal prediction for sparse linear models? Lower bounds for coordinate-separable M-estimators Electronic Journal of Statistics. 11: 752-799. DOI: 10.1214/17-EJS1233  0.582
2017 Mania H, Pan X, Papailiopoulos D, Recht B, Ramchandran K, Jordan MI. Perturbed Iterate Analysis for Asynchronous Stochastic Optimization Siam Journal On Optimization. 27: 2202-2229. DOI: 10.1137/16M1057000  0.336
2017 Fang EX, Li M, Jordan MI, Liu H. Mining Massive Amounts of Genomic Data: A Semiparametric Topic Modeling Approach Journal of the American Statistical Association. 112: 921-932. DOI: 10.1080/01621459.2016.1256812  0.308
2016 Yang Y, Wainwright MJ, Jordan MI. On the computational complexity of high-dimensional Bayesian variable selection The Annals of Statistics. 44: 2497-2532. DOI: 10.1214/15-AOS1417  0.598
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  0.786
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  0.615
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  0.517
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  0.648
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  0.758
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  0.501
2015 Mackey L, Talwalkar A, Jordan MI. Distributed matrix completion and robust factorization Journal of Machine Learning Research. 16: 913-960.  0.651
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. DOI: 10.1214/14-Aoas742  0.305
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  0.361
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  0.687
2014 Duchi JC, Jordan MI, Wainwright MJ. Privacy aware learning Journal of the Acm. 61. DOI: 10.1145/2666468  0.762
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  0.781
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.  0.536
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  0.633
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  0.336
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  0.338
2013 Jordan MI. On statistics, computation and scalability Bernoulli. 19: 1378-1390. DOI: 10.3150/12-BEJSP17  0.324
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  0.759
2013 Broderick T, Pitman J, Jordan MI. Feature allocations, probability functions, and paintboxes Bayesian Analysis. 8: 801-836. DOI: 10.1214/13-Ba823  0.756
2013 Duchi JC, Mackey L, Jordan MI. The asymptotics of ranking algorithms Annals of Statistics. 41: 2292-2323. DOI: 10.1214/13-Aos1142  0.787
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  0.651
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  0.714
2013 Lindsten F, Schön TB, Jordan MI. Bayesian semiparametric Wiener system identification Automatica. 49: 2053-2063. DOI: 10.1016/j.automatica.2013.03.021  0.326
2013 Wauthier FL, Jordan MI, Jojic N. Efficient ranking from pairwise comparisons 30th International Conference On Machine Learning, Icml 2013. 1146-1154.  0.759
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 0.725
2013 Wauthier FL, Jojic N, Jordan MI. A comparative framework for Preconditioned Lasso algorithms Advances in Neural Information Processing Systems 0.772
2013 Duchi JC, Jordan MI, Wainwright MJ. Local privacy and minimax bounds: Sharp rates for probability estimation Advances in Neural Information Processing Systems 0.721
2013 Duchi JC, Jordan MI, McMahan HB. Estimation, optimization, and parallelism when data is sparse Advances in Neural Information Processing Systems 0.638
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  0.563
2012 Broderick T, Jordan MI, Pitman J. Beta processes, stick-breaking and power laws Bayesian Analysis. 7: 439-476. DOI: 10.1214/12-Ba715  0.741
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  0.759
2012 Duchi JC, Agarwal A, Johansson M, Jordan MI. Ergodic mirror descent Siam Journal On Optimization. 22: 1549-1578. DOI: 10.1137/110836043  0.719
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.  0.721
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.  0.536
2012 Paisley J, Blei DM, Jordan MI. Stick-breaking beta processes and the poisson process Journal of Machine Learning Research. 22: 850-858.  0.506
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  0.325
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  0.772
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  0.643
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  0.525
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  0.305
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  0.573
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  0.528
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  0.635
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 0.634
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 0.768
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  0.624
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  0.74
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  0.306
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  0.629
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  0.694
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  0.678
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  0.543
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  0.777
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 0.635
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 0.447
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 0.758
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.  0.769
2010 Duchi JC, Mackey LW, Jordan MI. On the consistency of ranking algorithms Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 327-334.  0.771
2010 Mackey L, Weiss D, Jordan MI. Mixed membership matrix factorization Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 711-718.  0.636
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  0.61
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  0.768
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  0.468
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  0.502
2009 Fukumizu K, Bach FR, Jordan MI. Kernel dimension reduction in regression Annals of Statistics. 37: 1871-1905. DOI: 10.1214/08-Aos637  0.573
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  0.682
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  0.491
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.  0.766
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.  0.426
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.  0.501
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 0.513
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.  0.533
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.  0.412
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.  0.385
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  0.541
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  0.655
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  0.772
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  0.77
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  0.562
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  0.517
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  0.682
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  0.501
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.  0.407
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.  0.355
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  0.526
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  0.309
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  0.644
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  0.514
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  0.604
2006 Bartlett PL, Jordan MI, McAuliffe JD. Comment Statistical Science. 21: 341-346. DOI: 10.1214/088342306000000475  0.606
2006 Blei DM, Jordan MI. Variational inference for Dirichlet process mixtures Bayesian Analysis. 1: 121-144. DOI: 10.1214/06-Ba104  0.624
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  0.595
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  0.692
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  0.601
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  0.603
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  0.602
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  0.502
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  0.767
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.  0.723
2006 Bach FR, Jordan MI. Learning spectral clustering, with application to speech separation Journal of Machine Learning Research. 7: 1963-2001.  0.517
2006 Taskar B, Lacoste-Julien S, Jordan MI. Structured prediction, dual extragradient and bregman projections Journal of Machine Learning Research. 7: 1627-1653.  0.722
2006 Bach FR, Jordan MI. Learning spectral clustering, with application to speech separation Journal of Machine Learning Research. 7: 1963-2001.  0.517
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  0.65
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  0.642
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  0.665
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  0.673
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  0.654
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  0.672
2005 Nguyen X, Jordan MI, Sinopoli B. A kernel-based learning approach to ad hoc sensor network localization Acm Transactions On Sensor Networks. 1: 134-152. DOI: 10.1145/1077391.1077397  0.548
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  0.572
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  0.572
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  0.758
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  0.506
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.  0.514
2005 Taskar B, Lacoste-Julien S, Jordan MI. Structured prediction via the extragradient method Advances in Neural Information Processing Systems. 1345-1352.  0.73
2005 Bach FR, Jordan MI. Blind one-microphone speech separation: A spectral learning approach Advances in Neural Information Processing Systems 0.515
2005 Bach FR, Thibaux R, Jordan MI. Computing regularization paths for learning multiple kernels Advances in Neural Information Processing Systems 0.526
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  0.349
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  0.567
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  0.691
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  0.643
2004 Bach FR, Jordan MI. Beyond independent components: Trees and clusters Journal of Machine Learning Research. 4: 1205-1233. DOI: 10.1162/Jmlr.2003.4.7-8.1205  0.582
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  0.594
2004 Chen M, Zheng AX, Lloyd J, Jordan MI, Brewer E. Failure diagnosis using decision trees Proceedings - International Conference On Autonomic Computing. 36-43. DOI: 10.1109/ICAC.2004.1301345  0.559
2004 Blei DM, Jordan MI. Variational methods for the Dirichlet process Proceedings, Twenty-First International Conference On Machine Learning, Icml 2004. 89-96.  0.519
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.  0.561
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.  0.513
2004 Fukumizu K, Bach FR, Jordan MI. Kernel dimensionality reduction for supervised learning Advances in Neural Information Processing Systems 0.517
2004 Bach FR, Lanckriet GRG, Jordan MI. Multiple kernel learning, conic duality, and the SMO algorithm Proceedings, Twenty-First International Conference On Machine Learning, Icml 2004. 41-48.  0.539
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  0.514
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  0.651
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  0.603
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  0.494
2003 Barnard K, Duygulu P, Forsyth D, De Freitas N, Blei DM, Jordan MI. Matching Words and Pictures Journal of Machine Learning Research. 3: 1107-1135. DOI: 10.1162/153244303322533214  0.593
2003 Lanckriet GRG, El Ghaoui L, Bhattacharyya C, Jordan MI. A robust minimax approach to classification Journal of Machine Learning Research. 3: 555-582. DOI: 10.1162/153244303321897726  0.322
2003 Blei DM, Ng AY, Jordan MI. Latent Dirichlet allocation Journal of Machine Learning Research. 3: 993-1022. DOI: 10.1016/B978-0-12-411519-4.00006-9  0.716
2003 Blei DM, Jordan MI. Modeling Annotated Data Sigir Forum (Acm Special Interest Group On Information Retrieval). 127-134.  0.545
2003 Wainwright MJ, Jordan MI. Semidefinite methods for approximate inference on graphs with cycles Ieee International Symposium On Information Theory - Proceedings. 248.  0.545
2003 Bach FR, Jordan MI. Learning graphical models with mercer kernels Advances in Neural Information Processing Systems 0.534
2003 Todorov E, Jordan MI. A minimal intervention principle for coordinated movement Advances in Neural Information Processing Systems 0.478
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  0.563
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 DOI: 10.1044/1092-4388(2002/023)  0.579
2002 Jordan MI, Sejnowski TJ. Graphical Models: Foundations of Neural Computation Pattern Analysis & Applications. 5: 401-402. DOI: 10.1007/s100440200036  0.489
2002 Bach FR, Jordan MI. Thin junction trees Advances in Neural Information Processing Systems 0.476
2002 Ng AY, Jordan MI, Weiss Y. On spectral clustering: Analysis and an algorithm Advances in Neural Information Processing Systems 0.403
2001 Meilǎ M, Jordan MI. Learning with mixtures of trees Journal of Machine Learning Research. 1: 1-48. DOI: 10.1162/153244301753344605  0.36
2001 Ng AY, Zheng AX, Jordan MI. Link analysis, eigenvectors and stability Ijcai International Joint Conference On Artificial Intelligence. 903-910.  0.564
2001 Ng AY, Zheng AX, Jordan MI. Stable algorithms for link analysis Sigir Forum (Acm Special Interest Group On Information Retrieval). 258-266.  0.598
2000 Saul LK, Jordan MI. Attractor dynamics in feedforward neural networks. Neural Computation. 12: 1313-35. PMID 10935715 DOI: 10.1162/089976600300015385  0.737
2000 Jaakkola TS, Jordan MI. Bayesian parameter estimation via variational methods Statistics and Computing. 10: 25-37. DOI: 10.1023/A:1008932416310  0.728
1999 Jaakkola TS, Jordan MI. Variational probabilistic inference and the QMR-DT network Journal of Artificial Intelligence Research. 10: 291-322. DOI: 10.1613/Jair.583  0.734
1999 Jordan MI, Ghahramani Z, Jaakkola TS, Saul LK. Introduction to variational methods for graphical models Machine Learning. 37: 183-233. DOI: 10.1023/A:1007665907178  0.795
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  0.755
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 DOI: 10.1152/Jn.1998.80.2.696  0.573
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 DOI: 10.1523/Jneurosci.18-15-05948.1998  0.732
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  0.593
1998 Houde JF, Jordan MI. Adaptation in speech motor control Advances in Neural Information Processing Systems. 38-44.  0.53
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.  0.672
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 DOI: 10.1523/Jneurosci.17-18-07119.1997  0.677
1997 Smyth P, Heckerman D, Jordan MI. Probabilistic independence networks for hidden Markov probability models. Neural Computation. 9: 227-69. PMID 9117903 DOI: 10.1162/Neco.1997.9.2.227  0.364
1997 Saul LK, Jordan MI. A variational principle for model-based morphing Advances in Neural Information Processing Systems. 267-273.  0.733
1997 Jaakkola TS, Jordan MI. Recursive algorithms for approximating probabilities in graphical models Advances in Neural Information Processing Systems. 487-493.  0.701
1997 Ghahramani Z, Jordan MI. Factorial Hidden Markov Models Machine Learning. 29: 245-273.  0.482
1997 Jordan MI, Ghahramanit Z, Saul LK. Hidden Markov decision trees Advances in Neural Information Processing Systems. 501-507.  0.722
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  0.323
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 DOI: 10.1523/Jneurosci.16-21-07085.1996  0.634
1996 Cohn DA, Ghahramani Z, Jordan MI. Active learning with statistical models Journal of Artificial Intelligence Research. 4: 129-145. DOI: 10.1613/Jair.295  0.567
1996 Saul LK, Jaakkola T, Jordan MI. Mean field theory for sigmoid belief networks Journal of Artificial Intelligence Research. 4: 61-76. DOI: 10.1613/Jair.251  0.768
1996 Xu L, Jordan MI. On Convergence Properties of the EM Algorithm for Gaussian Mixtures Neural Computation. 8: 129-151. DOI: 10.1162/Neco.1996.8.1.129  0.33
1996 Houde JF, Jordan MI. Patterns of generalization in speech sensorimotor adaptation The Journal of the Acoustical Society of America. 100: 2663-2663. DOI: 10.1121/1.417472  0.602
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  0.644
1995 Wolpert DM, Ghahramani Z, Jordan MI. An internal model for sensorimotor integration. Science (New York, N.Y.). 269: 1880-2. PMID 7569931 DOI: 10.1126/Science.7569931  0.662
1995 Houde JF, Jordan MI. Adaptation in speech production to transformed auditory feedback The Journal of the Acoustical Society of America. 97: 3243-3243. DOI: 10.1121/1.411746  0.597
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  0.304
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  0.623
1994 Jaakkola T, Jordan MI, Singh SP. On the Convergence of Stochastic Iterative Dynamic Programming Algorithms Neural Computation. 6: 1185-1201. DOI: 10.1162/neco.1994.6.6.1185  0.7
1994 Saul L, Jordan MI. Learning in Boltzmann Trees Neural Computation. 6: 1174-1184. DOI: 10.1162/Neco.1994.6.6.1174  0.747
1994 Jordan MI, Jacobs RA. Hierarchical Mixtures of Experts and the EM Algorithm Neural Computation. 6: 181-214. DOI: 10.1162/neco.1994.6.2.181  0.541
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  0.41
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  0.503
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  0.691
1992 Jordan MI. Constrained supervised learning Journal of Mathematical Psychology. 36: 396-425. DOI: 10.1016/0022-2496(92)90029-7  0.323
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  0.647
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 DOI: 10.1073/Pnas.88.10.4433  0.466
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  0.471
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  0.651
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