Jon McAuliffe 个人学术档案

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	总计	2019 年至今
引用	12056	7345
h 指数	21	15
i10 指数	24	19

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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
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
Aaditya RamdasStatistics and Machine Learning, Carnegie Mellon University在 stat.cmu.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 BoffelliCedars Sinai Medical Center在 cshs.org 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
Andrew C. MillerResearch Scientist, Apple在 apple.com 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
Ryan GiordanoMIT在 mit.edu 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 TripuraneniGoogle Research在 google.com 的电子邮件经过验证
Daniel JeffaresSenior Lecturer, Department of Biology, University of York在 york.ac.uk 的电子邮件经过验证

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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	5408	2017
Supervised topic models DM Blei, JD McAuliffe Arxiv preprint arXiv:1003.0783, 2010	2291*	2010
Convexity, classification, and risk bounds PL Bartlett, MI Jordan, JD McAuliffe Journal of the American Statistical Association 101 (473), 138-156, 2006	1763	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	669	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	337	2008
Time-uniform, nonparametric, nonasymptotic confidence sequences SR Howard, A Ramdas, J McAuliffe, J Sekhon The Annals of Statistics 49 (2), 1055-1080, 2021	269	2021
Variational inference for large-scale models of discrete choice M Braun, J McAuliffe Journal of the American Statistical Association 105 (489), 324-335, 2010	224	2010
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	220	2003
Nonparametric empirical Bayes for the Dirichlet process mixture model JD McAuliffe, DM Blei, MI Jordan Statistics and Computing 16 (1), 5-14, 2006	175	2006
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	130	2005
Time-uniform Chernoff bounds via nonnegative supermartingales SR Howard, A Ramdas, J McAuliffe, J Sekhon Probability Surveys 17, 257-317, 2020	128*	2020
Multiple-sequence functional annotation and the generalized hidden Markov phylogeny JD McAuliffe, L Pachter, MI Jordan Bioinformatics 20 (12), 1850-1860, 2004	78	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
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	41	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	40	2019
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	40	2015
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	29	2017
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	27	2010
Machine learning in low-level microarray analysis BIP Rubinstein, J McAuliffe, S Cawley, M Palaniswami, ... ACM SIGKDD Explorations Newsletter 5 (2), 130-139, 2003	23	2003
GLAD: a mixed-membership model for heterogeneous tumor subtype classification H Saddiki, J McAuliffe, P Flaherty Bioinformatics 31 (2), 225-232, 2015	21	2015

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