Jorge Nocedal

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Richard ByrdUniversity of ColoradoEmail verificata su colorado.edu
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinEmail verificata su cs.wisc.edu
Jose Luis MoralesUniversidad Nacional Autónoma de MéxicoEmail verificata su comunidad.unam.mx
Frank E. CurtisLehigh UniversityEmail verificata su lehigh.edu
Nitish Shirish KeskarOpenAIEmail verificata su openai.com
Mikhail SmelyanskiyFacebookEmail verificata su intel.com
Jean Charles GilbertINRIA Paris, France & Université de Sherbrooke, CanadaEmail verificata su inria.fr
Nick GouldSTFC-Rutherford Appleton LaboratoryEmail verificata su stfc.ac.uk
Michael L. OvertonProfessor of Computer Science and Mathematics, New York UniversityEmail verificata su cs.nyu.edu
Raghu BollapragadaThe University of Texas at AustinEmail verificata su utexas.edu
Leon BottouFacebook AI ResearchEmail verificata su bottou.org
Ya-xiang YuanAcademy of Mathematics and Systems Science, Chinese Academy of SciencesEmail verificata su lsec.cc.ac.cn
Yuchen WuGoogleEmail verificata su u.northwestern.edu
Hao-Jun Michael ShiResearch Scientist, MetaEmail verificata su fb.com
Andreas WaechterNorthwestern UniversityEmail verificata su northwestern.edu
Jong-Shi PangDaniel J. Epstein Chair Professor of Industrial and Systems EngineeringEmail verificata su usc.edu
Daniel P. RobinsonAssociate Professor, Lehigh UniversityEmail verificata su lehigh.edu

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Jorge Nocedal

Professor, Industrial Engineering, Northwestern University

Email verificata su NORTHWESTERN.EDU - Home page

Optimization Machine Learning Scientific Computing


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Numerical Optimization, Second Edition J Nocedal, SJ Wright Numerical optimization, 497-528, 2006	43763*	2006
On the limited memory BFGS method for large scale optimization DC Liu, J Nocedal Mathematical programming 45 (1), 503-528, 1989	10066	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	7604	1995
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	4132	1997
Optimization methods for large-scale machine learning L Bottou, FE Curtis, J Nocedal SIAM review 60 (2), 223-311, 2018	4047	2018
Updating quasi-Newton matrices with limited storage J Nocedal Mathematics of computation 35 (151), 773-782, 1980	3835	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	3689	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	2360	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	2186	2000
Numerical optimization SJ Wright	2120	2006
Global convergence properties of conjugate gradient methods for optimization JC Gilbert, J Nocedal SIAM Journal on optimization 2 (1), 21-42, 1992	1543	1992
Knitro: An Integrated Package for Nonlinear Optimization RH Byrd, J Nocedal, RA Waltz Large-scale nonlinear optimization, 35-59, 2006	1470	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	1348	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	1064	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	600	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	562	1989
Theory of algorithms for unconstrained optimization J Nocedal Acta numerica 1, 199-242, 1992	522	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	520	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	507	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	461	2012

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