Jon McAuliffe

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2017
Позовавания	8337	4804
h-индекс	20	16
i10-индекс	21	18

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2003200420052006200720082009201020112012201320142015201620172018201920202021202254 135 179 195 195 169 200 237 317 305 309 369 358 405 492 708 977 1183 1367 55

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8 статии

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Съавтори

Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyПотвърден имейл адрес: cs.berkeley.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityПотвърден имейл адрес: columbia.edu
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyПотвърден имейл адрес: cs.berkeley.edu
Jeffrey RegierAssistant Professor, Department of Statistics, University of MichiganПотвърден имейл адрес: umich.edu
Lior PachterBren Professor of Computational Biology, CaltechПотвърден имейл адрес: caltech.edu
Alp KucukelbirAssistant Professor (Adj.) of Computer Science, Columbia UniversityПотвърден имейл адрес: cs.columbia.edu
David SchlegelSenior Scientist, Lawrence Berkeley National LabПотвърден имейл адрес: lbl.gov
Dario BoffelliUniversity of California, San FranciscoПотвърден имейл адрес: ucsf.edu
Edward M RubinScience CorpsПотвърден имейл адрес: science-corps.org
Aaditya RamdasStatistics and Machine Learning, Carnegie Mellon UniversityПотвърден имейл адрес: stat.cmu.edu
Jasjeet SekhonEugene Meyer Professor of Data Science, Political Science, and Statistics, Yale UniversityПотвърден имейл адрес: yale.edu
Steven R HowardUniversity of California, BerkeleyПотвърден имейл адрес: berkeley.edu
Joseph OrgelProfessor of Biology, Physics and Biomedical EngineeringПотвърден имейл адрес: iit.edu
Joan MariniSenior Investigator, NICHD, NIHПотвърден имейл адрес: cc1.nichd.nih.gov
Andrew C. MillerResearch Scientist, AppleПотвърден имейл адрес: apple.com
Michael BraunSouthern Methodist UniversityПотвърден имейл адрес: smu.edu
PrabhatLawrence Berkeley National Lab; UC BerkeleyПотвърден имейл адрес: lbl.gov
Keno FischerJulia Computing, Inc.Потвърден имейл адрес: juliacomputing.com
Matthew D. HoffmanResearch Scientist, Google ResearchПотвърден имейл адрес: google.com
Daniel JeffaresLecturer, Department of Biology, University of YorkПотвърден имейл адрес: york.ac.uk

Jon McAuliffe

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

Потвърден имейл адрес: stat.berkeley.edu

statistics computer science optimization machine learning bioinformatics


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
Variational inference: A review for statisticians DM Blei, A Kucukelbir, JD McAuliffe Journal of the American Statistical Association 112 (518), 859-877, 2017	2777	2017
Supervised topic models DM Blei, JD McAuliffe Arxiv preprint arXiv:1003.0783, 2010	2002	2010
Convexity, classification, and risk bounds PL Bartlett, MI Jordan, JD McAuliffe Journal of the American Statistical Association 101 (473), 138-156, 2006	1446	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	659	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	285	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, K Root, ... Proceedings of the National Academy of Sciences 100 (16), 9232-9237, 2003	219	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	182	2010
Nonparametric empirical Bayes for the Dirichlet process mixture model JD McAuliffe, DM Blei, MI Jordan Statistics and Computing 16 (1), 5-14, 2006	147	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	111	2005
Time-uniform, nonparametric, nonasymptotic confidence sequences SR Howard, A Ramdas, J McAuliffe, J Sekhon The Annals of Statistics 49 (2), 1055-1080, 2021	88	2021
Multiple-sequence functional annotation and the generalized hidden Markov phylogeny JD McAuliffe, L Pachter, MI Jordan Bioinformatics 20 (12), 1850-1860, 2004	79	2004
Time-uniform Chernoff bounds via nonnegative supermartingales SR Howard, A Ramdas, J McAuliffe, J Sekhon Probability Surveys 17, 257-317, 2020	53*	2020
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	52	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	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
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	23	2019
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	23	2017
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	22	2005
Machine learning in low-level microarray analysis BIP Rubinstein, J McAuliffe, S Cawley, M Palaniswami, ... ACM SIGKDD Explorations Newsletter 5 (2), 130-139, 2003	20	2003

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