Composite Convex Minimization Involving Self-concordant-Like Cost Functions

DOI10.1007/978-3-319-18161-5_14zbMath1370.90182arXiv1502.01068OpenAlexW2964195092MaRDI QIDQ5356980

Quoc Tran Dinh, Volkan Cevher, Yen-Huan Li

Publication date: 12 September 2017

Published in: Advances in Intelligent Systems and Computing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1502.01068

zbMATH Keywords

Lipschitz gradient propertyself-concordant-like function

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Convex programming (90C25) Large-scale problems in mathematical programming (90C06) Nonlinear programming (90C30)

Related Items (5)

Second order semi-smooth proximal Newton methods in Hilbert spaces ⋮ Convergence of the exponentiated gradient method with Armijo line search ⋮ Composite Convex Minimization Involving Self-concordant-Like Cost Functions ⋮ Generalized self-concordant analysis of Frank-Wolfe algorithms ⋮ Generalized self-concordant functions: a recipe for Newton-type methods

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