Jon McAuliffe

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyDirección de correo verificada de cs.berkeley.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityDirección de correo verificada de columbia.edu
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyDirección de correo verificada de cs.berkeley.edu
Alp KucukelbirAdjunct Professor of Computer Science, Columbia UniversityDirección de correo verificada de cs.columbia.edu
Jeffrey RegierAssistant Professor, Department of Statistics, University of MichiganDirección de correo verificada de umich.edu
Lior PachterBren Professor of Computational Biology, CaltechDirección de correo verificada de caltech.edu
Jasjeet SekhonEugene Meyer Professor of Data Science, Political Science, and Statistics, Yale UniversityDirección de correo verificada de yale.edu
Steven R HowardUniversity of California, BerkeleyDirección de correo verificada de berkeley.edu
Aaditya RamdasStatistics and Machine Learning, Carnegie Mellon UniversityDirección de correo verificada de stat.cmu.edu
David SchlegelSenior Scientist, Lawrence Berkeley National LabDirección de correo verificada de lbl.gov
Dario BoffelliUniversity of California, San FranciscoDirección de correo verificada de ucsf.edu
Edward M RubinScience CorpsDirección de correo verificada de science-corps.org
Joseph OrgelProfessor of Biology, Physics and Biomedical EngineeringDirección de correo verificada de iit.edu
Joan MariniSenior Investigator, NICHD, NIHDirección de correo verificada de cc1.nichd.nih.gov
Andrew C. MillerResearch Scientist, AppleDirección de correo verificada de apple.com
Michael BraunSouthern Methodist UniversityDirección de correo verificada de smu.edu
Ryan GiordanoMITDirección de correo verificada de mit.edu
Matthew D. HoffmanResearch Scientist, Google ResearchDirección de correo verificada de google.com
Nilesh TripuraneniGoogle ResearchDirección de correo verificada de google.com
Daniel JeffaresLecturer, Department of Biology, University of YorkDirección de correo verificada de york.ac.uk

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Jon McAuliffe

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

Dirección de correo verificada de stat.berkeley.edu

statistics computer science optimization machine learning bioinformatics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Variational inference: A review for statisticians DM Blei, A Kucukelbir, JD McAuliffe Journal of the American Statistical Association 112 (518), 859-877, 2017	4761	2017
Supervised topic models DM Blei, JD McAuliffe Arxiv preprint arXiv:1003.0783, 2010	2208*	2010
Convexity, classification, and risk bounds PL Bartlett, MI Jordan, JD McAuliffe Journal of the American Statistical Association 101 (473), 138-156, 2006	1672	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	664	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	320	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	223	2003
Time-uniform, nonparametric, nonasymptotic confidence sequences SR Howard, A Ramdas, J McAuliffe, J Sekhon The Annals of Statistics 49 (2), 1055-1080, 2021	215	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	214	2010
Nonparametric empirical Bayes for the Dirichlet process mixture model JD McAuliffe, DM Blei, MI Jordan Statistics and Computing 16 (1), 5-14, 2006	171	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	127	2005
Time-uniform Chernoff bounds via nonnegative supermartingales SR Howard, A Ramdas, J McAuliffe, J Sekhon Probability Surveys 17, 257-317, 2020	108*	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
PPM-based data compression J McAuliffe, D Joerg US Patent 7,113,112, 2006	65	2006
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	42	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
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	38	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	29	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	28	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	23	2003

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