Jorge Nocedal

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Richard ByrdUniversity of ColoradoE-mail confirmado em colorado.edu
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinE-mail confirmado em cs.wisc.edu
Jose Luis MoralesUniversidad Nacional Autónoma de MéxicoE-mail confirmado em comunidad.unam.mx
Frank E. CurtisLehigh UniversityE-mail confirmado em lehigh.edu
Nitish Shirish KeskarOpenAIE-mail confirmado em openai.com
Mikhail SmelyanskiyFacebookE-mail confirmado em intel.com
Jean Charles GilbertINRIA Paris, France & Université de Sherbrooke, CanadaE-mail confirmado em inria.fr
Nick GouldSTFC-Rutherford Appleton LaboratoryE-mail confirmado em stfc.ac.uk
Raghu BollapragadaThe University of Texas at AustinE-mail confirmado em utexas.edu
Michael L. OvertonProfessor of Computer Science and Mathematics, New York UniversityE-mail confirmado em cs.nyu.edu
Leon BottouFacebook AI ResearchE-mail confirmado em bottou.org
Ya-xiang YuanAcademy of Mathematics and Systems Science, Chinese Academy of SciencesE-mail confirmado em lsec.cc.ac.cn
Yuchen WuGoogleE-mail confirmado em u.northwestern.edu
Hao-Jun Michael ShiResearch Scientist, MetaE-mail confirmado em fb.com
Andreas WaechterNorthwestern UniversityE-mail confirmado em northwestern.edu
Jong-Shi PangDaniel J. Epstein Chair Professor of Industrial and Systems EngineeringE-mail confirmado em usc.edu
Daniel P. RobinsonAssociate Professor, Lehigh UniversityE-mail confirmado em lehigh.edu

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Jorge Nocedal

Professor, Industrial Engineering, Northwestern University

E-mail confirmado em NORTHWESTERN.EDU - Página inicial

Optimization Machine Learning Scientific Computing


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Numerical Optimization, Second Edition J Nocedal, SJ Wright Numerical optimization, 497-528, 2006	44640*	2006
On the limited memory BFGS method for large scale optimization DC Liu, J Nocedal Mathematical programming 45 (1), 503-528, 1989	10435	1989
A limited memory algorithm for bound constrained optimization RH Byrd, P Lu, J Nocedal, C Zhu SIAM Journal on scientific computing 16 (5), 1190-1208, 1995	7773	1995
Optimization methods for large-scale machine learning L Bottou, FE Curtis, J Nocedal SIAM review 60 (2), 223-311, 2018	4304	2018
Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization C Zhu, RH Byrd, P Lu, J Nocedal ACM Transactions on mathematical software (TOMS) 23 (4), 550-560, 1997	4234	1997
Updating quasi-Newton matrices with limited storage J Nocedal Mathematics of computation 35 (151), 773-782, 1980	3908	1980
On large-batch training for deep learning: Generalization gap and sharp minima NS Keskar, D Mudigere, J Nocedal, M Smelyanskiy, PTP Tang arXiv preprint arXiv:1609.04836, 2016	3883	2016
An interior point algorithm for large-scale nonlinear programming RH Byrd, ME Hribar, J Nocedal SIAM Journal on Optimization 9 (4), 877-900, 1999	2410	1999
A trust region method based on interior point techniques for nonlinear programming RH Byrd, JC Gilbert, J Nocedal Mathematical programming 89, 149-185, 2000	2231	2000
Numerical optimization SJ Wright	2154	2006
Global convergence properties of conjugate gradient methods for optimization JC Gilbert, J Nocedal SIAM Journal on optimization 2 (1), 21-42, 1992	1545	1992
Knitro: An Integrated Package for Nonlinear Optimization RH Byrd, J Nocedal, RA Waltz Large-scale nonlinear optimization, 35-59, 2006	1497	2006
An interior algorithm for nonlinear optimization that combines line search and trust region steps RA Waltz, JL Morales, J Nocedal, D Orban Mathematical programming 107 (3), 391-408, 2006	1377	2006
Representations of quasi-Newton matrices and their use in limited memory methods RH Byrd, J Nocedal, RB Schnabel Mathematical Programming 63 (1), 129-156, 1994	1097	1994
A stochastic quasi-Newton method for large-scale optimization RH Byrd, SL Hansen, J Nocedal, Y Singer SIAM Journal on Optimization 26 (2), 1008-1031, 2016	630	2016
A tool for the analysis of quasi-Newton methods with application to unconstrained minimization RH Byrd, J Nocedal SIAM Journal on Numerical Analysis 26 (3), 727-739, 1989	573	1989
Theory of algorithms for unconstrained optimization J Nocedal Acta numerica 1, 199-242, 1992	535	1992
Remark on “Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound constrained optimization” JL Morales, J Nocedal ACM Transactions on Mathematical Software (TOMS) 38 (1), 1-4, 2011	533	2011
Global convergence of a cass of quasi-Newton methods on convex problems RH Byrd, J Nocedal, YX Yuan SIAM Journal on Numerical Analysis 24 (5), 1171-1190, 1987	520	1987
Sample size selection in optimization methods for machine learning RH Byrd, GM Chin, J Nocedal, Y Wu Mathematical programming 134 (1), 127-155, 2012	481	2012

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