Jon McAuliffe

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyEmail verificata su cs.berkeley.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityEmail verificata su columbia.edu
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyEmail verificata su cs.berkeley.edu
Lior PachterBren Professor of Computational Biology, CaltechEmail verificata su caltech.edu
Alp KucukelbirAssistant Professor (Adj.) of Computer Science, Columbia UniversityEmail verificata su cs.columbia.edu
Jeffrey RegierAssistant Professor, Department of Statistics, University of MichiganEmail verificata su umich.edu
David SchlegelSenior Scientist, Lawrence Berkeley National LabEmail verificata su lbl.gov
Dario BoffelliChildren's Hospital Oakland Research InstituteEmail verificata su chori.org
Aaditya RamdasStatistics and Machine Learning, Carnegie Mellon UniversityEmail verificata su stat.cmu.edu
Jasjeet SekhonProfessor of Data Science, Political Science, and Statistics, Yale UniversityEmail verificata su yale.edu
Steven R HowardUniversity of California, BerkeleyEmail verificata su berkeley.edu
Joseph OrgelProfessor of Biology, Physics and Biomedical EngineeringEmail verificata su iit.edu
Michael BraunSouthern Methodist UniversityEmail verificata su smu.edu
Andrew MillerPostdoctoral Research Scientist, Columbia UniversityEmail verificata su columbia.edu
PrabhatLawrence Berkeley National Lab; UC BerkeleyEmail verificata su lbl.gov
Keno FischerJulia Computing, Inc.Email verificata su juliacomputing.com
Matthew D. HoffmanResearch Scientist, Google ResearchEmail verificata su google.com
Daniel JeffaresLecturer, Department of Biology, University of YorkEmail verificata su york.ac.uk
Anders KroghDepartment of Computer Science and Center for Health Data Science, University of CopenhagenEmail verificata su di.ku.dk
Terence P SpeedThe Walter & Eliza Hall InstituteEmail verificata su wehi.edu.au

Jon McAuliffe

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

Email verificata su stat.berkeley.edu

statistics computer science optimization machine learning bioinformatics


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Supervised topic models DM Blei, JD McAuliffe Arxiv preprint arXiv:1003.0783, 2010	1842*	2010
Variational inference: A review for statisticians DM Blei, A Kucukelbir, JD McAuliffe Journal of the American Statistical Association 112 (518), 859-877, 2017	1825	2017
Convexity, classification, and risk bounds PL Bartlett, MI Jordan, JD McAuliffe Journal of the American Statistical Association 101 (473), 138-156, 2006	1308	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	645	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	256	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	217	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	153	2010
Nonparametric empirical Bayes for the Dirichlet process mixture model JD McAuliffe, DM Blei, MI Jordan Statistics and Computing 16 (1), 5-14, 2006	132	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	99	2005
Multiple-sequence functional annotation and the generalized hidden Markov phylogeny JD McAuliffe, L Pachter, MI Jordan Bioinformatics 20 (12), 1850-1860, 2004	76	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	50	2005
Uniform, nonparametric, non-asymptotic confidence sequences SR Howard, A Ramdas, J McAuliffe, J Sekhon arXiv preprint arXiv:1810.08240, 2018	47	2018
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	26	2015
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	23	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
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
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	18	2017
Exponential line-crossing inequalities SR Howard, A Ramdas, J McAuliffe, J Sekhon arXiv preprint arXiv:1808.03204, 2018	17	2018
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	16*	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	15	2019

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