( en | de | ru )

 

Disambiguation of "Curtis, Frank E."

Author of the publication

copydeleteadd this publication to your clipboard
Optimization Methods for Large-Scale Machine Learning

, , and . SIAM Review, 60 (2): 223--311 (Jan 8, 2018)
DOI: 10.1137/16M1080173

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Andrew Curtis

Vickie Curtis

Fritz Curtis

Robin Curtis

Kent Curtis

 

Other publications of authors with the same name

Primal-Dual Active-Set Methods for Isotonic Regression and Trend Filtering., and . CoRR, (2015)Incremental quasi-Newton algorithms for solving a nonconvex, nonsmooth, finite-sum optimization problem., and . Optim. Methods Softw., 39 (2): 345-367 (2024)Adaptive augmented Lagrangian methods: algorithms and practical numerical experience., , , and . Optim. Methods Softw., 31 (1): 157-186 (2016)A BFGS-SQP method for nonsmooth, nonconvex, constrained optimization and its evaluation using relative minimization profiles., , and . Optim. Methods Softw., 32 (1): 148-181 (2017)A Stochastic Trust Region Algorithm Based on Careful Step Normalization., , and . INFORMS J. Optim., 1 (3): 200-220 (July 2019)A Self-Correcting Variable-Metric Algorithm for Stochastic Optimization.. ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 632-641. JMLR.org, (2016)FaRSA for ℓ1-regularized convex optimization: local convergence and numerical experience., , and . Optim. Methods Softw., 33 (2): 396-415 (2018)A penalty-interior-point algorithm for nonlinear constrained optimization.. Math. Program. Comput., 4 (2): 181-209 (2012)Optimization Methods for Large-Scale Machine Learning, , and . SIAM Review, 60 (2): 223--311 (Jan 8, 2018)A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization., , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 5107-5133. PMLR, (2023)