Search Results - block‐coordinate gradient descent algorithm

A novel block‐coordinate gradient descent algorithm for simultaneous grouped selection of fixed and random effects in joint modeling by Chen, Shuyan, Fang, Zhiqing, Li, Zhong, Liu, Xin

“… In this article, we propose a novel block‐coordinate gradient descent (BCGD) algorithm to simultaneously select multiple longitudinal covariates that may carry…”
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Convergence of Gradient-Based Block Coordinate Descent Algorithms for Nonorthogonal Joint Approximate Diagonalization of Matrices by Li, Jianze, Usevich, Konstantin, Comon, Pierre

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Convergence of gradient-based block coordinate descent algorithms for non-orthogonal joint approximate diagonalization of matrices by Li, Jianze, Usevich, Konstantin, Comon, Pierre

“…In this paper, we propose a gradient based block coordinate descent (BCD-G) framework to solve the joint approximate diagonalization of matrices defined on the product of the complex Stiefel manifold and the special linear group…”
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A Block Coordinate Descent-Based Projected Gradient Algorithm for Orthogonal Non-Negative Matrix Factorization by Asadi, Soodabeh, Povh, Janez

“…), where one or both matrix factors must have orthonormal columns or rows. We penalize the orthonormality constraints and apply the PG method via a block coordinate descent approach…”
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Iteration complexity analysis of block coordinate descent methods by Hong, Mingyi, Wang, Xiangfeng, Razaviyayn, Meisam, Luo, Zhi-Quan

“…In this paper, we provide a unified iteration complexity analysis for a family of general block coordinate descent methods, covering popular methods such as the block coordinate gradient descent…”
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An Improved Adam Optimization Algorithm Combining Adaptive Coefficients and Composite Gradients Based on Randomized Block Coordinate Descent by Liu, Miaomiao, Yao, Dan, Liu, Zhigang, Guo, Jingfeng, Chen, Jing

“…An improved Adam optimization algorithm combining adaptive coefficients and composite gradients based on randomized block coordinate descent is proposed to address issues of the Adam algorithm…”
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Structured feature selection using coordinate descent optimization by Ghalwash, Mohamed F., Cao, Xi Hang, Stojkovic, Ivan, Obradovic, Zoran

“… optimization problems so that the problem can be solved by any standard optimization algorithm…”
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Convergence of gradient-based block coordinate descent algorithms for non-orthogonal joint approximate diagonalization of matrices by Li, Jianze, Usevich, Konstantin, Comon, Pierre

“…In this paper, we propose a gradient-based block coordinate descent (BCD-G) framework to solve the joint approximate diagonalization of matrices defined on the product of the complex Stiefel manifold and the special linear group…”
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A Local Block Coordinate Descent Algorithm for the CSC Model by Zisselman, Ev, Sulam, Jeremias, Elad, Michael

“… In this work we propose a new and simple approach that adopts a localized strategy, based on the Block Coordinate Descent algorithm…”
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A Block Coordinate Descent-based Projected Gradient Algorithm for Orthogonal Non-negative Matrix Factorization by Asadi, Soodabeh, Povh, Janez

“…), where one or both matrix factors must have orthonormal columns or rows. We penalise the orthonormality constraints and apply the PG method via a block coordinate descent approach…”
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Robust Low-Rank Tensor Recovery With Regularized Redescending M-Estimator by Yuning Yang, Yunlong Feng, Suykens, Johan A. K.

“…This paper addresses the robust low-rank tensor recovery problems. Tensor recovery aims at reconstructing a low-rank tensor from some linear measurements,…”
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Low-rank matrix factorization with nonconvex regularization and bilinear decomposition by Wang, Sijie, Xia, Kewen, Wang, Li, Yin, Zhixian, He, Ziping, Zhang, Jiangnan, Aslam, Naila

“…•A non-convex bilinear low-rank matrix factorization model is proposed.•A block coordinate descent based algorithm is derived with convergence conditions…”
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Online Learning for DNN Training: A Stochastic Block Adaptive Gradient Algorithm by Liu, Jianghui, Li, Baozhu, Zhou, Yangfan, Zhao, Xuhui, Zhu, Junlong, Zhang, Mingchuan

“… In this algorithm, stochastic block coordinate descent and the adaptive learning rate are utilized at each iteration…”
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Direct Optimization of the Dictionary Learning Problem by Rakotomamonjy, Alain

“… The algorithm we advocate simply performs a joint proximal gradient descent step over the dictionary atoms and the coefficient matrix…”
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FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features by Liu, Yang, Zhang, Xinwei, Kang, Yan, Li, Liping, Chen, Tianjian, Hong, Mingyi, Yang, Qiang

“… over sharing such messages during learning. We propose a Federated Stochastic Block Coordinate Descent (FedBCD…”
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Distributed algorithms for computing a fixed point of multi-agent nonexpansive operators by Li, Xiuxian, Xie, Lihua

“… To solve the problem, two algorithms are developed, called distributed Krasnosel’skiĭ–Mann (D-KM) and distributed block-coordinate…”
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Asynchronous incremental block-coordinate descent by Aytekin, Arda, Feyzmahdavian, Hamid Reza, Johansson, Mikael

“… In our algorithm, a coordinator updates a global iterate based on delayed partial gradients of the individual objective functions with respect to blocks of coordinates…”
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Stochastic Augmented Projected Gradient Methods for the Large-Scale Precoding Matrix Indicator Selection Problem by Zhang, Jiaqi, Jin, Zeyu, Jiang, Bo, Wen, Zaiwen

“… The discrete constraints in the formulations make the problem NP-hard. Then we propose a stochastic projected gradient method augmented by block coordinate descent under various strategies…”
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Inexact Block Coordinate Descent Algorithms for Nonsmooth Nonconvex Optimization by Yang, Yang, Pesavento, Marius, Luo, Zhi-Quan, Ottersten, Bjorn

“…In this paper, we propose an inexact block coordinate descent algorithm for large-scale nonsmooth nonconvex optimization problems…”
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A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion by Xu, Yangyang, Yin, Wotao

“… We review some interesting applications and propose a generalized block coordinate descent method…”
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