Výsledky vyhledávání - proximal-gradient algorithm*

Proximal Gradient Algorithms Under Local Lipschitz Gradient Continuity: A Convergence and Robustness Analysis of PANOC Autor De Marchi, Alberto, Themelis, Andreas

“…), namely accelerated linesearch algorithms requiring only the simple oracle of proximal gradient…”
Získat plný text

Generalized Nesterov’s accelerated proximal gradient algorithms with convergence rate of order o(1/k2) Autor Van Ngai, Huynh, Son, Ta Anh

“… ) . In this paper, we present two generalized variants of Nesterov’s accelerated proximal gradient method for solving composition convex optimization problems in which the…”
Získat plný text

Majorization-Minimization Bregman Proximal Gradient Algorithms for NMF with the Kullback–Leibler Divergence Autor Takahashi, Shota, Tanaka, Mirai, Ikeda, Shiro

“… In this paper, we propose new algorithms, called majorization-minimization Bregman proximal gradient algorithm (MMBPG…”
Získat plný text

A smoothing proximal gradient algorithm with extrapolation for the relaxation of ℓ0 regularization problem Autor Zhang, Jie, Yang, Xinmin, Li, Gaoxi, Zhang, Ke

“… (SIAM J Numer Anal 58:858–883, 2020) and propose a smoothing proximal gradient algorithm with extrapolation (SPGE…”
Získat plný text

Distributed proximal‐gradient algorithms for nonsmooth convex optimization of second‐order multiagent systems Autor Wang, Qing, Chen, Jie, Zeng, Xianlin, Xin, Bin

“…‐gradient algorithms with derivative feedback are proposed to solve the nonsmooth convex optimization for the consensus and resource allocation of multiagent systems, respectively…”
Získat plný text

Solving constrained nonsmooth group sparse optimization via group Capped-ℓ1 relaxation and group smoothing proximal gradient algorithm Autor Zhang, Xian, Peng, Dingtao

“…In this paper, we study the constrained group sparse regularization optimization problem, where the loss function is convex but nonsmooth, and the penalty term…”
Získat plný text

Stochastic proximal-gradient algorithms for penalized mixed models Autor Fort, Gersende, Ollier, Edouard, Samson, Adeline

“… can be approximated by a Monte Carlo technique. We propose a new algorithm based on a stochastic approximation of the proximal-gradient (PG) algorithm…”
Získat plný text

Convergence of Stochastic Proximal Gradient Algorithm Autor Rosasco, Lorenzo, Villa, Silvia, Vũ, Bằng Công

“…We study the extension of the proximal gradient algorithm where only a stochastic gradient estimate is available and a relaxation step is allowed…”
Získat plný text

A Proximal Gradient Algorithm for Decentralized Composite Optimization Autor Shi, Wei, Ling, Qing, Wu, Gang, Yin, Wotao

“… We propose a proximal gradient exact first-order algorithm (PG-EXTRA) that utilizes the composite structure and has the best known convergence rate…”
Získat plný text

Decentralized Proximal Gradient Algorithms With Linear Convergence Rates Autor Alghunaim, Sulaiman A., Ryu, Ernest K., Yuan, Kun, Sayed, Ali H.

“…) for the class of algorithms that uses the gradients and the proximal mappings of the smooth and nonsmooth parts, respectively…”
Získat plný text

Online Learning Over Dynamic Graphs via Distributed Proximal Gradient Algorithm Autor Dixit, Rishabh, Bedi, Amrit Singh, Rajawat, Ketan

“… nondifferentiable regularization penalties. The proposed proximal online gradient descent algorithm is built to run in a fully decentralized manner and utilizes consensus updates over possibly disconnected graphs…”
Získat plný text

Unmatched Preconditioning of the Proximal Gradient Algorithm Autor Savanier, Marion, Chouzenoux, Emilie, Pesquet, Jean-Christophe, Riddell, Cyril

“…This work addresses the resolution of penalized least-squares problems using the proximal gradient algorithm (PGA…”
Získat plný text

A general double-proximal gradient algorithm for d.c. programming Autor Banert, Sebastian, Boț, Radu Ioan

“… In this paper we propose an algorithm which allows the evaluation of both the concave and the convex part by their proximal points…”
Získat plný text

Approximate bregman proximal gradient algorithm for relatively smooth nonconvex optimization Autor Takahashi, Shota, Takeda, Akiko

“…In this paper, we propose the approximate Bregman proximal gradient algorithm (ABPG) for solving composite nonconvex optimization problems…”
Získat plný text

Proximal gradient algorithm with dual momentum for robust compressive sensing MRI Autor Xie, Zhonghua, Liu, Lingjun, Chen, Zehong, Wang, Cheng

“… with excellent performance. To achieve accelerated and robust CS-MRI reconstruction, a novel combination of Proximal Gradient (PG…”
Získat plný text

Proximal gradient nonconvex optimization algorithm for the slice-based ℓ0-constrained convolutional dictionary learning Autor Li, Jing, Wei, Xiao, Li, Qiuhui, Zhang, Yali, Li, Ze, Li, Jin, Wang, Jinjia

“…Convolutional dictionary learning (CDL) aims to learn a structured local convolutional dictionary and the sparse coefficient maps from the signals of various…”
Získat plný text

Proximal gradient algorithm with trust region scheme on Riemannian manifold Autor Zhao, Shimin, Yan, Tao, Zhu, Yuanguo

“… We develop a Riemannian proximal gradient algorithm with a trust region scheme for the problem…”
Získat plný text

On the Proximal Gradient Algorithm with Alternated Inertia Autor Iutzeler, Franck, Malick, Jérôme

“…In this paper, we investigate attractive properties of the proximal gradient algorithm with inertia…”
Získat plný text

An accelerated preconditioned proximal gradient algorithm with a generalized Nesterov momentum for PET image reconstruction Autor Lin, Yizun, He, Yongxin, Schmidtlein, C Ross, Han, Deren

“…This paper presents an accelerated preconditioned proximal gradient algorithm (APPGA) for effectively solving a class of positron emission tomography…”
Zjistit podrobnosti o přístupu

A smoothing proximal gradient algorithm for matrix rank minimization problem Autor Yu, Quan, Zhang, Xinzhen

“… Then the smoothing proximal gradient (SPG) algorithm is proposed to find a lifted stationary point of the continuous relaxation model. Moreover, it is shown that any accumulating point of the sequence generated by SPG algorithm is a lifted stationary point. At last, numerical examples show the efficiency of the SPG algorithm…”
Získat plný text