Jorge Nocedal

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Richard ByrdUniversity of ColoradoVerified email at colorado.edu
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinVerified email at cs.wisc.edu
Jose Luis MoralesUniversidad Nacional Autónoma de MéxicoVerified email at comunidad.unam.mx
Frank E. CurtisLehigh UniversityVerified email at lehigh.edu
Nitish Shirish KeskarOpenAIVerified email at openai.com
Mikhail SmelyanskiyFacebookVerified email at intel.com
Jean Charles GilbertINRIA Paris, France & Université de Sherbrooke, CanadaVerified email at inria.fr
Nick GouldSTFC-Rutherford Appleton LaboratoryVerified email at stfc.ac.uk
Michael L. OvertonProfessor of Computer Science and Mathematics, New York UniversityVerified email at cs.nyu.edu
Raghu BollapragadaThe University of Texas at AustinVerified email at utexas.edu
Leon BottouFacebook AI ResearchVerified email at bottou.org
Ya-xiang YuanAcademy of Mathematics and Systems Science, Chinese Academy of SciencesVerified email at lsec.cc.ac.cn
Yuchen WuGoogleVerified email at u.northwestern.edu
Hao-Jun Michael ShiResearch Scientist, MetaVerified email at fb.com
Andreas WaechterNorthwestern UniversityVerified email at northwestern.edu
Jong-Shi PangDaniel J. Epstein Chair Professor of Industrial and Systems EngineeringVerified email at usc.edu
Daniel P. RobinsonAssociate Professor, Lehigh UniversityVerified email at lehigh.edu

Jorge Nocedal

Professor, Industrial Engineering, Northwestern University

Verified email at NORTHWESTERN.EDU - Homepage

Optimization Machine Learning Scientific Computing


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Numerical Optimization, Second Edition J Nocedal, SJ Wright Numerical optimization, 497-528, 2006	43641*	2006
On the limited memory BFGS method for large scale optimization DC Liu, J Nocedal Mathematical programming 45 (1), 503-528, 1989	10023	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	7570	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	4125	1997
Optimization methods for large-scale machine learning L Bottou, FE Curtis, J Nocedal SIAM review 60 (2), 223-311, 2018	4013	2018
Updating quasi-Newton matrices with limited storage J Nocedal Mathematics of computation 35 (151), 773-782, 1980	3826	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	3664	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	2350	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	2176	2000
Numerical optimization SJ Wright	2112	2006
Global convergence properties of conjugate gradient methods for optimization JC Gilbert, J Nocedal SIAM Journal on optimization 2 (1), 21-42, 1992	1540	1992
Knitro: An Integrated Package for Nonlinear Optimization RH Byrd, J Nocedal, RA Waltz Large-scale nonlinear optimization, 35-59, 2006	1465	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	1340	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	1061	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	596	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	561	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	519	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	506	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	460	2012

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