Jon McAuliffe

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyE-mailová adresa ověřena na: cs.berkeley.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityE-mailová adresa ověřena na: columbia.edu
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyE-mailová adresa ověřena na: cs.berkeley.edu
Alp KucukelbirAdjunct Professor of Computer Science, Columbia UniversityE-mailová adresa ověřena na: cs.columbia.edu
Jeffrey RegierAssistant Professor, Department of Statistics, University of MichiganE-mailová adresa ověřena na: umich.edu
Lior PachterBren Professor of Computational Biology, CaltechE-mailová adresa ověřena na: caltech.edu
Jasjeet SekhonEugene Meyer Professor of Data Science, Political Science, and Statistics, Yale UniversityE-mailová adresa ověřena na: yale.edu
Steven R HowardUniversity of California, BerkeleyE-mailová adresa ověřena na: berkeley.edu
Aaditya RamdasAssociate Professor (with tenure), Carnegie Mellon UniversityE-mailová adresa ověřena na: stat.cmu.edu
David SchlegelSenior Scientist, Lawrence Berkeley National LabE-mailová adresa ověřena na: lbl.gov
Dario BoffelliCedars Sinai Medical CenterE-mailová adresa ověřena na: cshs.org
Edward M RubinScience CorpsE-mailová adresa ověřena na: science-corps.org
Joseph OrgelProfessor of Biology, Physics and Biomedical EngineeringE-mailová adresa ověřena na: iit.edu
Joan MariniSenior Investigator, NICHD, NIHE-mailová adresa ověřena na: cc1.nichd.nih.gov
Andrew C. MillerResearch Scientist, AppleE-mailová adresa ověřena na: apple.com
Michael BraunSouthern Methodist UniversityE-mailová adresa ověřena na: smu.edu
Ryan GiordanoUC BerkeleyE-mailová adresa ověřena na: berkeley.edu
Nilesh TripuraneniGoogle DeepMindE-mailová adresa ověřena na: google.com
Daniel JeffaresSenior Lecturer, Department of Biology, University of YorkE-mailová adresa ověřena na: york.ac.uk
Anders KroghDepartment of Computer Science and Center for Health Data Science, University of CopenhagenE-mailová adresa ověřena na: di.ku.dk

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Jon McAuliffe

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

E-mailová adresa ověřena na: stat.berkeley.edu

statistics computer science optimization machine learning bioinformatics


Název Seřadit podle citací Seřadit podle roku Seřadit podle názvu	Citace Citace	Rok
Variational inference: A review for statisticians DM Blei, A Kucukelbir, JD McAuliffe Journal of the American Statistical Association 112 (518), 859-877, 2017	6376	2017
Supervised topic models DM Blei, JD McAuliffe Arxiv preprint arXiv:1003.0783, 2010	2347*	2010
Convexity, classification, and risk bounds PL Bartlett, MI Jordan, JD McAuliffe Journal of the American Statistical Association 101 (473), 138-156, 2006	1875	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	680	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	356	2008
Time-uniform, nonparametric, nonasymptotic confidence sequences SR Howard, A Ramdas, J McAuliffe, J Sekhon The Annals of Statistics 49 (2), 1055-1080, 2021	330	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	231	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	227	2003
Nonparametric empirical Bayes for the Dirichlet process mixture model JD McAuliffe, DM Blei, MI Jordan Statistics and Computing 16 (1), 5-14, 2006	176	2006
Time-uniform Chernoff bounds via nonnegative supermartingales SR Howard, A Ramdas, J McAuliffe, J Sekhon Probability Surveys 17, 257-317, 2020	160*	2020
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
Multiple-sequence functional annotation and the generalized hidden Markov phylogeny JD McAuliffe, L Pachter, MI Jordan Bioinformatics 20 (12), 1850-1860, 2004	78	2004
PPM-based data compression J McAuliffe, D Joerg US Patent 7,113,112, 2006	67	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	52	2005
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	48	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	46	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	43	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	30	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	26	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

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