Frank E. Curtis

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Daniel P. RobinsonAssociate Professor, Lehigh UniversityVerified email at lehigh.edu
Jorge NocedalProfessor, Industrial Engineering, Northwestern UniversityVerified email at NORTHWESTERN.EDU
Andreas WaechterNorthwestern UniversityVerified email at northwestern.edu
Leon BottouFacebook AI ResearchVerified email at bottou.org
Michael L. OvertonProfessor of Computer Science and Mathematics, New York UniversityVerified email at cs.nyu.edu
James V BurkeUniversity of WashingtonVerified email at uw.edu
Mohammadreza SamadiPhD, Industrial and Systems Engineering, Lehigh UniversityVerified email at lehigh.edu
Richard ByrdUniversity of ColoradoVerified email at colorado.edu
Olaf SchenkProfessor, Institute of Computing, Universita della Svizzera italiana, SIAM FellowVerified email at usi.ch
Hao WangShanghaiTech UniversityVerified email at shanghaitech.edu.cn
Katya ScheinbergCornell UniversityVerified email at cornell.edu
Xiaocun QueLehigh UniversityVerified email at alum.lehigh.edu
Zheng HanLehigh UniversityVerified email at lehigh.edu
Baoyu ZhouLehigh UniversityVerified email at lehigh.edu
Nick GouldSTFC-Rutherford Appleton LaboratoryVerified email at stfc.ac.uk
Jiashan WangGoogleVerified email at google.com
Rui ShiPhD Candidate, Lehigh UniversityVerified email at lehigh.edu
Travis C. JohnsonNorthwestern UniversityVerified email at traviscj.com
arvind raghunathanMitsubishi Electric Research LaboratoriesVerified email at merl.com
Tianyi ChenMachine Learning Scientist II, MicrosoftVerified email at microsoft.com

Frank E. Curtis

Lehigh University

Verified email at lehigh.edu - Homepage

Mathematical Optimization Scientific Computing Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Optimization methods for large-scale machine learning L Bottou, FE Curtis, J Nocedal SIAM Review 60 (2), 223-311, 2018	1990	2018
A trust region algorithm with a worst-case iteration complexity of for nonconvex optimization FE Curtis, DP Robinson, M Samadi Mathematical Programming, 1-32, 2016	156	2016
A sequential quadratic programming algorithm for nonconvex, nonsmooth constrained optimization FE Curtis, ML Overton SIAM Journal on Optimization 22 (2), 474-500, 2012	115	2012
An inexact SQP method for equality constrained optimization RH Byrd, FE Curtis, J Nocedal SIAM Journal on Optimization 19 (1), 351-369, 2008	92	2008
A BFGS-SQP Method for Nonsmooth, Nonconvex, Constrained Optimization and its Evaluation using Relative Minimization Profiles FE Curtis, T Mitchell, ML Overton Optimization Methods and Software 31 (1), 148-181, 2017	88	2017
Infeasibility detection and SQP methods for nonlinear optimization RH Byrd, FE Curtis, J Nocedal SIAM Journal on Optimization 20 (5), 2281-2299, 2010	79	2010
A quasi-Newton algorithm for nonconvex, nonsmooth optimization with global convergence guarantees FE Curtis, X Que Mathematical Programming Computation 7 (4), 399-428, 2015	65	2015
An interior-point algorithm for large-scale nonlinear optimization with inexact step computations FE Curtis, O Schenk, A Wächter SIAM Journal on Scientific Computing 32 (6), 3447-3475, 2010	64	2010
An adaptive gradient sampling algorithm for nonsmooth optimization FE Curtis, X Que Optimization Methods and Software 28 (6), 1302-1324, 2013	59	2013
An inexact Newton method for nonconvex equality constrained optimization RH Byrd, FE Curtis, J Nocedal Mathematical Programming 122 (2), 273-299, 2010	50	2010
A globally convergent primal-dual active-set framework for large-scale convex quadratic optimization FE Curtis, Z Han, DP Robinson Computational Optimization and Applications 60 (2), 311-341, 2015	44	2015
An adaptive augmented Lagrangian method for large-scale constrained optimization FE Curtis, H Jiang, DP Robinson Mathematical Programming 152 (1-2), 201-245, 2015	44	2015
A matrix-free algorithm for equality constrained optimization problems with rank-deficient Jacobians FE Curtis, J Nocedal, A Wächter SIAM Journal on Optimization 20 (3), 1224-1249, 2009	42	2009
Flexible penalty functions for nonlinear constrained optimization FE Curtis, J Nocedal IMA Journal of Numerical Analysis 28 (4), 749-769, 2008	40	2008
Optimization methods for supervised machine learning: From linear models to deep learning FE Curtis, K Scheinberg Leading Developments from INFORMS Communities, 89-114, 2017	35	2017
A self-correcting variable-metric algorithm for stochastic optimization FE Curtis Proceedings of The 33rd International Conference on Machine Learning, 632-641, 2016	34	2016
Gradient sampling methods for nonsmooth optimization JV Burke, FE Curtis, AS Lewis, ML Overton, LEA Simões Numerical nonsmooth optimization: State of the art algorithms, 201-225, 2020	33	2020
Exploiting negative curvature in deterministic and stochastic optimization FE Curtis, DP Robinson Mathematical Programming 176 (1), 69-94, 2019	33	2019
An inexact sequential quadratic optimization algorithm for nonlinear optimization FE Curtis, TC Johnson, DP Robinson, A Wächter SIAM Journal on Optimization 24 (3), 1041-1074, 2014	32*	2014
A penalty-interior-point algorithm for nonlinear constrained optimization FE Curtis Mathematical Programming Computation 4 (2), 181-209, 2012	32	2012

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