Bob Carpenter

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Andrew GelmanProfessor of Statistics and Political Science, Columbia UniversityEmail confirmado em stat.columbia.edu
Gerald PennProfessor of Computer Science, University of TorontoEmail confirmado em cs.toronto.edu
Marcus A BrubakerAssistant Professor, York University; Faculty Affiliate, Vector InstituteEmail confirmado em yorku.ca
Daniel LeeGenerableEmail confirmado em alum.mit.edu
Jennifer Chu-CarrollResearch Fellow, Elemental CognitionEmail confirmado em ec.ai
Matthew D. HoffmanResearch Scientist, Google ResearchEmail confirmado em google.com
Benjamin GoodrichColumbia UniversityEmail confirmado em columbia.edu
Allen RiddellIndiana University BloomingtonEmail confirmado em indiana.edu
Aki VehtariAssociate Professor, Aalto UniversityEmail confirmado em aalto.fi
Daniel SimpsonMonash UniversityEmail confirmado em monash.edu
Paul-Christian BuerknerJunior Research Group Leader, Cluster of Excellence SimTech, University of Stuttgart, GermanyEmail confirmado em simtech.uni-stuttgart.de
Breck BaldwinColumbia UniverisityEmail confirmado em columbia.edu
Geoff PullumUniversity of Edinburgh / George Mason UniversityEmail confirmado em ed.ac.uk
Rebecca J. PassonneauDepartment of Computer Science and Engineering, Penn StateEmail confirmado em cse.psu.edu
Ewan KleinProfessor Emeritus of Language Technology, School of Informatics, University of Edinburgh, UKEmail confirmado em inf.ed.ac.uk
Udo KruschwitzProfessor, University of RegensburgEmail confirmado em ur.de
Massimo PoesioProfessor of Computational Linguistics, Queen Mary UniversityEmail confirmado em qmul.ac.uk
Yuling YaoFlatiron InstituteEmail confirmado em flatironinstitute.org
Lauren KennedyLecturer, Econometrics and Business Statistics, Monash UniversityEmail confirmado em monash.edu
Jonah GabryColumbia UniversityEmail confirmado em columbia.edu

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Bob Carpenter

Flatiron Institute, Center for Computational Mathematics

Email confirmado em flatironinstitute.org - Página inicial

computational statistics probabilistic programming automatic differentiation natural language processing


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Stan: A probabilistic programming language B Carpenter, A Gelman, MD Hoffman, D Lee, B Goodrich, M Betancourt, ... Journal of statistical software 76 (1), 2017	6279	2017
The logic of typed feature structures: with applications to unification grammars, logic programs and constraint resolution B Carpenter Cambridge University Press, 1992	1593	1992
Type-logical semantics B Carpenter MIT press, 1998	695	1998
Rank-Normalization, Folding, and Localization: An Improved for Assessing Convergence of MCMC A Vehtari, A Gelman, D Simpson, B Carpenter, PC Bürkner Bayesian Analysis, 2021	661*	2021
Overview of BioCreative II gene mention recognition L Smith, LK Tanabe, CJ Kuo, I Chung, CN Hsu, YS Lin, R Klinger, ... Genome biology 9 (2), 1-19, 2008	441	2008
ALE. The Attribute Logic Engine Version 2.0. 1. User’s Guide B Carpenter, G Penn Computational Linguistics Program, Philosophy Department, Carnegie Mellon …, 1994	314*	1994
Vector-based natural language call routing J Chu-Carroll, B Carpenter Computational linguistics 25 (3), 361-388, 1999	239	1999
Stan modeling language users guide and reference manual Stan Development Team Technical report, 2016	214	2016
Methods and apparatus for automatic call routing including disambiguating routing decisions RL Carpenter, J Chu-Carroll US Patent 6,269,153, 2001	172	2001
The benefits of a model of annotation RJ Passonneau, B Carpenter Transactions of the Association for Computational Linguistics 2, 311-326, 2014	169	2014
Bayesian workflow A Gelman, A Vehtari, D Simpson, CC Margossian, B Carpenter, Y Yao, ... arXiv preprint arXiv:2011.01808, 2020	161	2020
Stan: A C++ library for probability and sampling Stan Development Team Online: http://mc-stan. org, 2014	160*	2014
Category structures G Gazdar, GK Pullum, R Carpenter, E Klein, TE Hukari, RD Levine Computational linguistics 14 (1), 1-19, 1988	129	1988
The Stan math library: Reverse-mode automatic differentiation in C++ B Carpenter, MD Hoffman, M Brubaker, D Lee, P Li, M Betancourt arXiv preprint arXiv:1509.07164, 2015	126	2015
Bayesian analysis of tests with unknown specificity and sensitivity A Gelman, B Carpenter medRxiv, 2020.05. 22.20108944, 2020	107	2020
LingPipe Natural Language Processing Software B Carpenter, B Baldwin http://alias-i. com/lingpipe, 2004	107*	2004
Skeptical and credulous default unification with applications to templates and inheritance B Carpenter Inheritance, defaults and the lexicon, 13-37, 1993	89	1993
Lazy sparse stochastic gradient descent for regularized multinomial logistic regression B Carpenter Alias-i, Inc., Tech. Rep, 1-20, 2008	87	2008
Multilevel Bayesian models of categorical data annotation B Carpenter Alias-i White Paper 17 (122), 45-50, 2008	85	2008
LingPipe for 99.99% recall of gene mentions B Carpenter Proceedings of the Second BioCreative Challenge Evaluation Workshop 23, 307-309, 2007	83	2007

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