Výsledky vyhledávání - Smoothing composite proximal gradient algorithm

Smoothing composite proximal gradient algorithm for sparse group Lasso problems with nonsmooth loss functions

Autoři: Huiling Shen Dingtao Peng Xian Zhang

Zdroj: Journal of Applied Mathematics and Computing. 70:1887-1913

Smoothing composite proximal gradient algorithm for sparse group Lasso problems with nonsmooth loss functions.

Autoři: Shen, Huiling Peng, Dingtao Zhang, Xian

Zdroj: Journal of Applied Mathematics & Computing; Jun2024, Vol. 70 Issue 3, p1887-1913, 27p

Variable Smoothing Alternating Proximal Gradient Algorithm for Coupled Composite Optimization

Autoři: Long, Xian-Jun Zeng, Kang Li, Gao-Xi a další

Témata: Optimization and Control

Relation: http://arxiv.org/abs/2510.27156

Dostupnost: http://arxiv.org/abs/2510.27156

Smoothing Accelerated Proximal Gradient Method with Backtracking for Nonsmooth Multiobjective Optimization

Autoři: Chengzhi, Huang

Témata: Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Optimization and Control

Přístupová URL adresa: http://arxiv.org/abs/2503.12915

Extrapolated Smoothing Descent Algorithm for Constrained Nonconvex and Nonsmooth Composite Problems.

Autoři: Chen, Yunmei Liu, Hongcheng Wang, Weina

Zdroj: Chinese Annals of Mathematics; Nov2022, Vol. 43 Issue 6, p1049-1070, 22p

Témata: SMOOTHING (Numerical analysis), NONSMOOTH optimization, ALGORITHMS, IMAGE reconstruction, EXTRAPOLATION

Smoothing randomized block-coordinate proximal gradient algorithms for nonsmooth nonconvex composite optimization.

Autoři: Li, Xue Bian, Wei

Zdroj: Numerical Algorithms. Sep2025, Vol. 100 Issue 1, p395-424. 30p.

Témata: *NONSMOOTH optimization, *OPTIMIZATION algorithms, *EMPIRICAL research, *ASYMPTOTIC analysis, *DISCONTINUOUS functions, *STATISTICAL smoothing

A smoothing proximal gradient algorithm with extrapolation for the relaxation of ℓ0 regularization problem.

Autoři: Zhang, Jie Yang, Xinmin Li, Gaoxi a další

Zdroj: Computational Optimization & Applications; Apr2023, Vol. 84 Issue 3, p737-760, 24p

Témata: ALGORITHMS, EXTRAPOLATION

A Primal-Dual Smoothing Framework for Max-Structured Non-Convex Optimization.

Autoři: Zhao, Renbo¹ renbo-zhao@uiowa.edu

Zdroj: Mathematics of Operations Research. Aug2024, Vol. 49 Issue 3, p1535-1565. 31p.

Témata: *ALGORITHMS, NONSMOOTH optimization

Smoothing Accelerated Proximal Gradient Method with Fast Convergence Rate for Nonsmooth Convex Optimization Beyond Differentiability.

Autoři: Wu, Fan Bian, Wei

Zdroj: Journal of Optimization Theory & Applications; May2023, Vol. 197 Issue 2, p539-572, 34p

Témata: NONSMOOTH optimization, SMOOTHING (Numerical analysis), CONVEX sets, CONVEX functions, EXTRAPOLATION

A SMOOTHING PROXIMAL GRADIENT ALGORITHM FOR NONSMOOTH CONVEX REGRESSION WITH CARDINALITY PENALTY.

Autoři: WEI BIAN XIAOJUN CHEN

Zdroj: SIAM Journal on Numerical Analysis; 2020, Vol. 58 Issue 1, p858-883, 26p

Témata: ALGORITHMS, CONVEX functions, COST functions, NONSMOOTH optimization

Adaptive smoothing algorithms for nonsmooth composite convex minimization.

Autoři: Tran-Dinh, Quoc¹ quoctd@email.unc.edu

Zdroj: Computational Optimization & Applications. Apr2017, Vol. 66 Issue 3, p425-451. 27p.

Témata: *ALGORITHMS, *MATHEMATICAL programming, SMOOTHING (Numerical analysis), CONVEX programming, INTERIOR-point methods

Continuous Exact Relaxation and Alternating Proximal Gradient Algorithm for Partial Sparse and Partial Group Sparse Optimization Problems.

Autoři: Wu, Qingqing Peng, Dingtao Zhang, Xian

Zdroj: Journal of Scientific Computing; Jul2024, Vol. 100 Issue 1, p1-35, 35p

ProxSARAH: An Effcient Algorithmic Framework for Stochastic Composite Nonconvex Optimization.

Autoři: Pham, Nhan H. Nguyen, Lam M. Phan, Dzung T. a další

Zdroj: Journal of Machine Learning Research. 2020, Issue 78-118, p1-48. 48p.

Témata: *NONSMOOTH optimization, *ALGORITHMS, *STATISTICAL smoothing, *VARIANCES, *HYPOTHESIS

AN ACCELERATED INEXACT PROXIMAL POINT METHOD FOR SOLVING NONCONVEX-CONCAVE MIN-MAX PROBLEMS.

Autoři: WEIWEI KONG MONTEIRO, RENATO D. C.

Zdroj: SIAM Journal on Optimization. 2021, Vol. 31 Issue 4, p2558-2585. 28p.

Témata: *ALGORITHMS, NONSMOOTH optimization

A MULTILEVEL PROXIMAL GRADIENT ALGORITHM FOR A CLASS OF COMPOSITE OPTIMIZATION PROBLEMS.

Autoři: PARPAS, PANOS

Zdroj: SIAM Journal on Scientific Computing; 2017, Vol. 39 Issue 5, pS681-S701, 21p

Témata: ALGORITHMS, MATHEMATICAL optimization

Linear convergence of inexact descent method and inexact proximal gradient algorithms for lower-order regularization problems.

Autoři: Hu, Yaohua Li, Chong Meng, Kaiwen a další

Zdroj: Journal of Global Optimization; Apr2021, Vol. 79 Issue 4, p853-883, 31p

Témata: ALGORITHMS, APPLIED sciences, HILBERT space, INVERSE problems, GENEALOGY

DERIVATIVE-FREE ALTERNATING PROJECTION ALGORITHMS FOR GENERAL NONCONVEX-CONCAVE MINIMAX PROBLEMS.

Autoři: ZI XU ZIQI WANG JINGJING SHEN a další

Zdroj: SIAM Journal on Optimization; 2024, Vol. 34 Issue 2, p1879-1908, 30p

Témata: PRINCIPAL components analysis, ALGORITHMS, MACHINE learning, SIGNAL processing, SADDLEPOINT approximations, CRITICAL point theory

A Minibatch Proximal Stochastic Recursive Gradient Algorithm Using a Trust-Region-Like Scheme and Barzilai–Borwein Stepsizes.

Autoři: Yu, Tengteng Liu, Xin-Wei Dai, Yu-Hong a další

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; Oct2021, Vol. 32 Issue 10, p4627-4638, 12p

Témata: CONVEX functions, MACHINE learning, BATCH processing

A Deep Unfolding Network for Multispectral and Hyperspectral Image Fusion.

Autoři: Zhang, Bihui Cao, Xiangyong Meng, Deyu

Zdroj: Remote Sensing; Nov2024, Vol. 16 Issue 21, p3979, 18p

Témata: CONVOLUTIONAL neural networks, IMAGE fusion, DEEP learning, ALGORITHMS, MULTISPECTRAL imaging

Semi-proximal Mirror-Prox for Nonsmooth Composite Minimization

Autoři: He, Niao Harchaoui, Zaid

Témata: Mathematics - Optimization and Control, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/1507.01476