Search Results - Approximation proximal gradient algorithm*

An approximation proximal gradient algorithm for nonconvex-linear minimax problems with nonconvex nonsmooth terms by He, Jiefei, Zhang, Huiling, Xu, Zi

“… In this paper, we propose an efficient approximation proximal gradient algorithm for solving a class of nonsmooth nonconvex-linear minimax problems with a nonconvex nonsmooth term, and the number…”
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Stochastic proximal-gradient algorithms for penalized mixed models by 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…”
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Smoothing composite proximal gradient algorithm for sparse group Lasso problems with nonsmooth loss functions by Shen, Huiling, Peng, Dingtao, Zhang, Xian

“… Then, based on the smooth approximation of the loss function, a smoothing composite proximal gradient (SCPG…”
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Fast nonnegative tensor factorization based on accelerated proximal gradient and low-rank approximation by Zhang, Yu, Zhou, Guoxu, Zhao, Qibin, Cichocki, Andrzej, Wang, Xingyu

“… In this study, we propose a new algorithm called FastNTF_APG to speed up NTF by combining accelerated proximal gradient and low-rank approximation…”
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New inertial proximal gradient methods for unconstrained convex optimization problems by Duan, Peichao, Zhang, Yiqun, Bu, Qinxiong

“… In this paper, firstly, we propose inexact inertial acceleration methods based on the viscosity approximation and proximal scaled gradient algorithm to accelerate the convergence of the algorithm…”
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Convergence Rate Analysis of Viscosity Approximation based Gradient Algorithms by Jain, Prayas, Verma, Mridula, Shukla, K.K

“… In this paper, we present a viscosity-approximation-based proximal gradient algorithm and prove its linear convergence rate…”
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A dual active-set proximal Newton algorithm for sparse approximation of correlation matrices by Liu, Xiao, Shen, Chungen, Wang, Li

“…In this paper, we propose a novel dual active-set algorithm that is based on proximal gradient and semi-smooth Newton iterations for the sparse approximation of correlation matrices in the Frobenius norm…”
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Alternated and multi-step inertial approximation methods for solving convex bilevel optimization problems by Duan, Peichao, Zhang, Yiqun

“…In this paper, we propose three kinds of inertial approximation methods based on the proximal gradient algorithm to accelerate the convergence of the algorithm for solving convex bilevel optimization problems…”
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A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems by Liu, Tianxiang, Pong, Ting Kei, Takeda, Akiko

“…: the corresponding proximal mapping can be hard to compute so that standard first-order methods such as the proximal gradient algorithm cannot be applied efficiently…”
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Accelerated and Inexact Forward-Backward Algorithms by Villa, Silvia, Salzo, Saverio, Baldassarre, Luca, Verri, Alessandro

“… Our analysis is based on the machinery of estimate sequences first introduced by Nesterov for the study of accelerated gradient descent algorithms…”
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Training Compact DNNs with ℓ1/2 Regularization by Tang, Anda, Niu, Lingfeng, Miao, Jianyu, Zhang, Peng

“…•We give a closed-form, threshold solution to the proximal operator of ℓ1/2, and consequently design a stochastic proximal gradient algorithm to train the resulting model…”
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On the complexity of a quadratic regularization algorithm for minimizing nonsmooth and nonconvex functions by Amaral, V. S., Lopes, J. O., Santos, P. S. M., Silva, G. N.

“… To address this issue, we propose an algorithm based on a proximal gradient method that uses a quadratic approximation of the function $ g_2…”
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Cardinality objective nonlinear programs for facility capacity expansion by Li, Gao-Xi, Yang, Xin-Min

“…(d)-stationary point of the continuous approximation. The proposed algorithm is a novel combination of the classical augmented Lagrangian method and proximal gradient…”
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Decentralized Proximal Gradient Algorithms With Linear Convergence Rates by 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…”
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Automatic motion capture data denoising via filtered subspace clustering and low rank matrix approximation by Liu, Xin, Cheung, Yiu-ming, Peng, Shu-Juan, Cui, Zhen, Zhong, Bineng, Du, Ji-Xiang

“… piecewise motion always share the similar low dimensional subspace representation. Then, we employ the accelerated proximal gradient (APG…”
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A Fast Proximal Gradient Algorithm to Solve Electromagnetic Inverse Scattering Problems by Ma, Zhenchao, Xu, Kuiwen

“…). In this paper, we propose three methods to solve it using the proximal gradient algorithm (PGA) based on the Born approximation…”
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Stochastic Proximal Gradient Algorithms for Penalized Mixed Models by t, 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…”
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Resource Allocation for User-Centric Cell-Free Massive MIMO Downlink by Wang, Xuan, Liu, Yi, Li, Cong

“… In this article, we propose a resource allocation scheme that incorporates the effective algorithms for AP selection, pilot assignment, and power allocation, to improve the performance of user…”
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Unmatched Preconditioning of the Proximal Gradient Algorithm by 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…”
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ℓp-norm multiple kernel learning with low-rank kernels by Rakotomamonjy, Alain, Chanda, Sukalpa

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