Jon McAuliffe

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	总计	2018 年至今
引用	9709	5731
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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley在 cs.berkeley.edu 的电子邮件经过验证
David BleiProfessor of Statistics and Computer Science, Columbia University在 columbia.edu 的电子邮件经过验证
Peter BartlettProfessor, EECS and Statistics, UC Berkeley在 cs.berkeley.edu 的电子邮件经过验证
Alp KucukelbirAdjunct Professor of Computer Science, Columbia University在 cs.columbia.edu 的电子邮件经过验证
Jeffrey RegierAssistant Professor, Department of Statistics, University of Michigan在 umich.edu 的电子邮件经过验证
Lior PachterBren Professor of Computational Biology, Caltech在 caltech.edu 的电子邮件经过验证
Aaditya RamdasStatistics and Machine Learning, Carnegie Mellon University在 stat.cmu.edu 的电子邮件经过验证
Jasjeet SekhonEugene Meyer Professor of Data Science, Political Science, and Statistics, Yale University在 yale.edu 的电子邮件经过验证
Steven R HowardUniversity of California, Berkeley在 berkeley.edu 的电子邮件经过验证
David SchlegelSenior Scientist, Lawrence Berkeley National Lab在 lbl.gov 的电子邮件经过验证
Dario BoffelliUniversity of California, San Francisco在 ucsf.edu 的电子邮件经过验证
Edward M RubinScience Corps在 science-corps.org 的电子邮件经过验证
Joseph OrgelProfessor of Biology, Physics and Biomedical Engineering在 iit.edu 的电子邮件经过验证
Joan MariniSenior Investigator, NICHD, NIH在 cc1.nichd.nih.gov 的电子邮件经过验证
Michael BraunSouthern Methodist University在 smu.edu 的电子邮件经过验证
Andrew C. MillerResearch Scientist, Apple在 apple.com 的电子邮件经过验证
Matthew D. HoffmanResearch Scientist, Google Research在 google.com 的电子邮件经过验证
Nilesh TripuraneniUC Berkeley在 berkeley.edu 的电子邮件经过验证
Daniel JeffaresLecturer, Department of Biology, University of York在 york.ac.uk 的电子邮件经过验证
Anders KroghDepartment of Computer Science and Center for Health Data Science, University of Copenhagen在 di.ku.dk 的电子邮件经过验证

关注

Jon McAuliffe

Professor (Adj.) of Statistics, University of California, Berkeley

在 stat.berkeley.edu 的电子邮件经过验证

statistics computer science optimization machine learning bioinformatics


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Variational inference: A review for statisticians DM Blei, A Kucukelbir, JD McAuliffe Journal of the American Statistical Association 112 (518), 859-877, 2017	3778	2017
Supervised topic models DM Blei, JD McAuliffe Arxiv preprint arXiv:1003.0783, 2010	2108*	2010
Convexity, classification, and risk bounds PL Bartlett, MI Jordan, JD McAuliffe Journal of the American Statistical Association 101 (473), 138-156, 2006	1532	2006
Phylogenetic shadowing of primate sequences to find functional regions of the human genome D Boffelli, J McAuliffe, D Ovcharenko, KD Lewis, I Ovcharenko, L Pachter, ... Science 299 (5611), 1391-1394, 2003	658	2003
Candidate cell and matrix interaction domains on the collagen fibril, the predominant protein of vertebrates SM Sweeney, JP Orgel, A Fertala, JD McAuliffe, KR Turner, GA Di Lullo, ... Journal of Biological Chemistry 283 (30), 21187-21197, 2008	306	2008
Toward a protein profile of Escherichia coli: Comparison to its transcription profile RW Corbin, O Paliy, F Yang, J Shabanowitz, M Platt, CE Lyons Jr, K Root, ... Proceedings of the National Academy of Sciences 100 (16), 9232-9237, 2003	221	2003
Variational inference for large-scale models of discrete choice M Braun, J McAuliffe Journal of the American Statistical Association 105 (489), 324-335, 2010	196	2010
Nonparametric empirical Bayes for the Dirichlet process mixture model JD McAuliffe, DM Blei, MI Jordan Statistics and Computing 16 (1), 5-14, 2006	157	2006
Time-uniform, nonparametric, nonasymptotic confidence sequences SR Howard, A Ramdas, J McAuliffe, J Sekhon The Annals of Statistics 49 (2), 1055-1080, 2021	150	2021
Sulfur and nitrogen limitation in Escherichia coli K-12: specific homeostatic responses P Gyaneshwar, O Paliy, J McAuliffe, DL Popham, MI Jordan, S Kustu Journal of bacteriology 187 (3), 1074-1090, 2005	121	2005
Time-uniform Chernoff bounds via nonnegative supermartingales SR Howard, A Ramdas, J McAuliffe, J Sekhon Probability Surveys 17, 257-317, 2020	80*	2020
Multiple-sequence functional annotation and the generalized hidden Markov phylogeny JD McAuliffe, L Pachter, MI Jordan Bioinformatics 20 (12), 1850-1860, 2004	80	2004
Lessons from Escherichia coli genes similarly regulated in response to nitrogen and sulfur limitation P Gyaneshwar, O Paliy, J McAuliffe, A Jones, MI Jordan, S Kustu Proceedings of the National Academy of Sciences 102 (9), 3453-3458, 2005	53	2005
Celeste: Variational inference for a generative model of astronomical images J Regier, A Miller, J McAuliffe, R Adams, M Hoffman, D Lang, D Schlegel, ... Proceedings of the 32nd International Conference on Machine Learning, 2015	37	2015
Cataloging the visible universe through Bayesian inference in Julia at petascale J Regier, K Fischer, K Pamnany, A Noack, J Revels, M Lam, S Howard, ... Journal of Parallel and Distributed Computing, 2019	34	2019
Rao-Blackwellized stochastic gradients for discrete distributions R Liu, J Regier, N Tripuraneni, M Jordan, J Mcauliffe International Conference on Machine Learning, 4023-4031, 2019	32	2019
Long-and short-term selective forces on malaria parasite genomes S Nygaard, A Braunstein, G Malsen, S Van Dongen, PP Gardner, A Krogh, ... PLoS Genet 6 (9), e1001099, 2010	28	2010
Fast black-box variational inference through stochastic trust-region optimization J Regier, MI Jordan, J McAuliffe Advances in Neural Information Processing Systems, 2402-2411, 2017	24	2017
Machine learning in low-level microarray analysis BIP Rubinstein, J McAuliffe, S Cawley, M Palaniswami, ... ACM SIGKDD Explorations Newsletter 5 (2), 130-139, 2003	22	2003
Subtree power analysis and species selection for comparative genomics JD McAuliffe, MI Jordan, L Pachter Proceedings of the National Academy of Sciences 102 (22), 7900-7905, 2005	21	2005

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