Jon McAuliffe - Concepedia

Author

Jon McAuliffe

University of California, Berkeley ORCID

Also Known As

J D McAuliffe, J.D. McAuliffe, Jon D McAuliffe, Jon D. McAuliffe, Jon McAuliffe, Jon Mcauliffe, Kiran Pamnany, McAuliffe, Jon, McAuliffe, Jon D.

Publications

6.3K

Citations

H-Index

Concepts

All Affiliations

University of California, Berkeley Lawrence Berkeley National Laboratory University of Pennsylvania Carnegie Mellon University Princeton University

About

Jon McAuliffe is an author at University of California, Berkeley specializing in engineering, data science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	10	10	2.5K
2	Medicine	5	5	656
3	Biology	5	5	656
4	Natural Sciences	4	4	616
5	Language Studies	1	1	1.3K

Jon McAuliffe

Publications

4.1K

Citations

H-Index

Page 1

	Year	Citations
Supervised Topic Models David M. Blei, Jon McAuliffe arXiv (Cornell University) U.s. SenateEngineeringCorpus LinguisticsJournalismLabelled Documents	2010	1.3K
Convexity, Classification, and Risk Bounds Peter L. Bartlett, Michael I. Jordan, Jon McAuliffe Journal of the American Statistical Association EngineeringMachine LearningConvex Loss FunctionsRisk AnalysisMachine Learning Literature	2006	1K
Phylogenetic Shadowing of Primate Sequences to Find Functional Regions of the Human Genome Dario Boffelli, Jon McAuliffe, Dmitriy Ovcharenko, Science PrimatologyNew World MonkeysComparative GenomicsGeneticsGenomics	2003	523
Candidate Cell and Matrix Interaction Domains on the Collagen Fibril, the Predominant Protein of Vertebrates Shawn M. Sweeney, Joseph Orgel, Andrzej Fertala, Journal of Biological Chemistry	2008	290
Toward a protein profile of <i>Escherichia coli</i> : Comparison to its transcription profile Rebecca W. Corbin, Oleg Paliy, Feng Yang, Proceedings of the National Academy of Sciences	2003	180
Variational Inference for Large-Scale Models of Discrete Choice Michael Braun, Jon McAuliffe Journal of the American Statistical Association	2010	171
Nonparametric empirical Bayes for the Dirichlet process mixture model Jon McAuliffe, David M. Blei, Michael I. Jordan Statistics and Computing Statistical InferenceNonparametric Empirical BayesStatisticsMixture Distribution	2006	128
Sulfur and Nitrogen Limitation in<i>Escherichia coli</i>K-12: Specific Homeostatic Responses Prasad Gyaneshwar, Oleg Paliy, Jon McAuliffe, Journal of Bacteriology	2005	97
Multiple-sequence functional annotation and the generalized hidden Markov phylogeny Jon McAuliffe, Lior Pachter, Michael I. Jordan Bioinformatics Abstract MotivationComparative GenomicsGeneticsGenomicsPhylogenetic Shadowing	2004	51
Large Margin Classifiers: Convex Loss, Low Noise, and Convergence Rates Peter L. Bartlett, Michael I. Jordan, Jon McAuliffe	2003	40

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