Search Results - "Proximal-gradient algorithm"

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

“…Summary This article studies the distributed nonsmooth convex optimization problems for second‐order multiagent systems. The objective function is the…”
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Proximal gradient algorithm with dual momentum for robust compressive sensing MRI by Xie, Zhonghua, Liu, Lingjun, Chen, Zehong, Wang, Cheng

“…Adopting the new signal acquisition technology Compressive Sensing (CS) to Magnetic Resonance Imaging (MRI) reconstruction has been proved to be an effective…”
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An accelerated preconditioned proximal gradient algorithm with a generalized Nesterov momentum for PET image reconstruction by 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 (PET)…”
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One-snapshot on-grid and off-grid channel estimation in uplink large-scale millimeter-wave MIMO using an exponential penalty function by Nargesi, Mohammadreza, Olfat, Ali

“…Large-scale multiple-input multiple-output (MIMO) technology is well-recognized for enhancing throughput in modern communication systems. In these systems, the…”
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Hybrid SGD algorithms to solve stochastic composite optimization problems with application in sparse portfolio selection problems by Yang, Zhen-Ping, Zhao, Yong

“…In this paper, we study stochastic composite problems where the objective can be the composition of an outer single-valued function and an inner vector-valued…”
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A diagonal finite element-projection-proximal gradient algorithm for elliptic optimal control problem by Lin, Jitong, Chen, Xuesong

“…A diagonal finite element-projection-proximal gradient (DFE-P-PG) algorithm and its accelerated forms for elliptic optimal control problem with L1-control cost…”
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Robust Lasso Regression Using Tukey's Biweight Criterion by Chang, Le, Roberts, Steven, Welsh, Alan

“…The adaptive lasso is a method for performing simultaneous parameter estimation and variable selection. The adaptive weights used in its penalty term mean that…”
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On convergence of iterative thresholding algorithms to approximate sparse solution for composite nonconvex optimization by Hu, Yaohua, Hu, Xinlin, Yang, Xiaoqi

“…This paper aims to find an approximate true sparse solution of an underdetermined linear system. For this purpose, we propose two types of iterative…”
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Robust support vector machine classifier with truncated loss function by gradient algorithm by Zhu, Wenxin, Song, Yunyan, Xiao, Yingyuan

“…The support vector machine (SVM) is an increasingly important tool in machine learning. Despite its popularity, the SVM classifier can be adversely affected…”
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Zeroth-order single-loop algorithms for nonconvex-linear minimax problems by Shen, Jingjing, Wang, Ziqi, Xu, Zi

“…Nonconvex minimax problems have attracted significant interest in machine learning and many other fields in recent years. In this paper, we propose a new…”
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A general double-proximal gradient algorithm for d.c. programming by Banert, Sebastian, Boț, Radu Ioan

“…The possibilities of exploiting the special structure of d.c. programs, which consist of optimising the difference of convex functions, are currently more or…”
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Online Topology Inference from Streaming Stationary Graph Signals with Partial Connectivity Information by Shafipour, Rasoul, Mateos, Gonzalo

“…We develop online graph learning algorithms from streaming network data. Our goal is to track the (possibly) time-varying network topology, and affect memory…”
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Smoothing fast proximal gradient algorithm for the relaxation of matrix rank regularization problem by Zhang, Jie, Yang, Xinmin

“…This paper proposes a general inertial smoothing proximal gradient algorithm for solving the Capped-ℓ1 exact continuous relaxation regularization model…”
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Robust Multivariate Lasso Regression with Covariance Estimation by Chang, Le, Welsh, A. H.

“…Multivariate regression with covariance estimation (MRCE) is a method that performs sparse estimation of multivariate regression coefficients, while taking…”
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Non-Asymptotic Analysis of Hybrid SPG for Non-Convex Stochastic Composite Optimization by He, Yue-Hong, Li, Gao-Xi, Long, Xian-Jun

“…This paper focuses on the stochastic composite optimization problem, wherein the objective function comprises a smooth non-convex term and a non-smooth,…”
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A proximal-gradient inertial algorithm with Tikhonov regularization: strong convergence to the minimal norm solution by László, Szilárd Csaba

“…We investigate the strong convergence properties of a proximal-gradient inertial algorithm with two Tikhonov regularization terms in connection with the…”
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Identifying Heterogeneous Effect Using Latent Supervised Clustering With Adaptive Fusion by Chen, Jingxiang, Tran-Dinh, Quoc, Kosorok, Michael R., Liu, Yufeng

“…Precision medicine is an important area of research with the goal of identifying the optimal treatment for each individual patient. In the literature, various…”
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Exact continuous relaxations of ℓ0-regularized criteria with non-quadratic data terms by Essafri, Mhamed, Calatroni, Luca, Soubies, Emmanuel

“…We consider the minimization of ℓ0-regularized criteria involving non-quadratic data terms such as the Kullback-Leibler divergence and the logistic regression,…”
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An approximation proximal gradient algorithm for nonconvex-linear minimax problems with nonconvex nonsmooth terms by He, Jiefei, Zhang, Huiling, Xu, Zi

“…Nonconvex minimax problems have attracted significant attention in machine learning, wireless communication and many other fields. In this paper, we propose an…”
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Rank Minimization Method for Speckle Noise Removal in Ultrasound Images by Yan, Hui-Yin, Liu, Yu-Peng, Wang, He-Xian, Chen, Hao

“…Ultrasound image plays an important role in many medical applications. However, images acquired in ultrasound imaging system are always corrupted by a kind of…”
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