Jon McAuliffe

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.edu
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Lior PachterBren Professor of Computational Biology, CaltechVerified email at caltech.edu
Jeffrey RegierAssistant Professor, Department of Statistics, University of MichiganVerified email at umich.edu
Alp KucukelbirAssistant Professor (Adj.) of Computer Science, Columbia UniversityVerified email at cs.columbia.edu
David SchlegelSenior Scientist, Lawrence Berkeley National LabVerified email at lbl.gov
Dario BoffelliChildren's Hospital Oakland Research InstituteVerified email at chori.org
Edward M RubinScience CorpsVerified email at science-corps.org
Aaditya RamdasStatistics and Machine Learning, Carnegie Mellon UniversityVerified email at stat.cmu.edu
Jasjeet SekhonEugene Meyer Professor of Data Science, Political Science, and Statistics, Yale UniversityVerified email at yale.edu
Steven R HowardUniversity of California, BerkeleyVerified email at berkeley.edu
Joseph OrgelProfessor of Biology, Physics and Biomedical EngineeringVerified email at iit.edu
Joan MariniSenior Investigator, NICHD, NIHVerified email at cc1.nichd.nih.gov
Michael BraunSouthern Methodist UniversityVerified email at smu.edu
Andrew MillerPostdoctoral Research Scientist, Columbia UniversityVerified email at columbia.edu
PrabhatLawrence Berkeley National Lab; UC BerkeleyVerified email at lbl.gov
Keno FischerJulia Computing, Inc.Verified email at juliacomputing.com
Matthew D. HoffmanResearch Scientist, Google ResearchVerified email at google.com
Daniel JeffaresLecturer, Department of Biology, University of YorkVerified email at york.ac.uk

Jon McAuliffe

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

Verified email at stat.berkeley.edu

statistics computer science optimization machine learning bioinformatics


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Variational inference: A review for statisticians DM Blei, A Kucukelbir, JD McAuliffe Journal of the American Statistical Association 112 (518), 859-877, 2017	1999	2017
Supervised topic models DM Blei, JD McAuliffe Arxiv preprint arXiv:1003.0783, 2010	1799	2010
Convexity, classification, and risk bounds PL Bartlett, MI Jordan, JD McAuliffe Journal of the American Statistical Association 101 (473), 138-156, 2006	1338	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	651	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	270	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	216	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	163	2010
Nonparametric empirical Bayes for the Dirichlet process mixture model JD McAuliffe, DM Blei, MI Jordan Statistics and Computing 16 (1), 5-14, 2006	134	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	102	2005
Multiple-sequence functional annotation and the generalized hidden Markov phylogeny JD McAuliffe, L Pachter, MI Jordan Bioinformatics 20 (12), 1850-1860, 2004	75	2004
Time-uniform, nonparametric, nonasymptotic confidence sequences SR Howard, A Ramdas, J McAuliffe, J Sekhon The Annals of Statistics 49 (2), 1055-1080, 2021	56	2021
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	50	2005
PPM-based data compression J McAuliffe, D Joerg US Patent 7,113,112, 2006	49	2006
Time-uniform Chernoff bounds via nonnegative supermartingales SR Howard, A Ramdas, J McAuliffe, J Sekhon Probability Surveys 17, 257-317, 2020	34*	2020
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	29	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	26*	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	25	2010
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
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	19	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	19	2003

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