Suchergebnisse - alternating gradient descent and minimization algorithm

Provable Active Multi-Task Representation Learning von Lin, Jiabin, Moothedath, Shana, Le, Tuan Anh

“… By leveraging the techniques from active learning, we propose an adaptive sampling-based alternating projected gradient descent (GD …”
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Robust Matrix Completion via Maximum Correntropy Criterion and Half-Quadratic Optimization von He, Yicong, Wang, Fei, Li, Yingsong, Qin, Jing, Chen, Badong

“… Two efficient algorithms are then derived: an alternating minimization-based algorithm and an alternating gradient descent-based algorithm …”
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Gradient-based optimisation of the conditional-value-at-risk using the multi-level Monte Carlo method von Ganesh, Sundar, Nobile, Fabio

“… We then propose combining the MLMC framework with an alternating inexact minimisation-gradient descent algorithm, for which we prove Q-linear convergence in the optimisation …”
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Decentralized Nonconvex Low-rank Matrix Recovery von Gao, Junzhuo, Lian, Heng

“… Matrix factorization is a computationally efficient nonconvex approach for low-rank matrix recovery, utilizing an alternating minimization or a gradient descent algorithm, and its theoretical …”
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Efficient and Fast Joint Sparse Constrained Canonical Correlation Analysis for Fault Detection von Xiu, Xianchao, Pan, Lili, Yang, Ying, Liu, Wanquan

“… We then develop an efficient alternating minimization algorithm using the improved iterative hard thresholding and manifold constrained gradient descent method …”
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Fast Alternating Direction Optimization Methods von Goldstein, Tom, O'Donoghue, Brendan, Setzer, Simon, Baraniuk, Richard

“… : the alternating direction method of multipliers (ADMM) and the alternating minimization algorithm (AMA …”
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Efficient Federated Low Rank Matrix Recovery via Alternating GD and Minimization: A Simple Proof von Vaswani, Namrata

“… This note provides a significantly simpler and shorter proof of our sample complexity guarantee for solving the low rank column-wise sensing problem using the Alternating Gradient Descent (GD) and Minimization (AltGDmin) algorithm …”
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Fast and Sample-Efficient Relevance-Based Multi-Task Representation Learning von Lin, Jiabin, Moothedath, Shana

“… We present a novel learning algorithm based on an alternating projected gradient descent (GD) and minimization estimator …”
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Poisson Noise Removal Scheme Based on Fourth-Order PDE by Alternating Minimization Algorithm von Zhou, Weifeng, Li, Qingguo

“… ) filter for removing Poisson noise. In consideration of the slow convergence property of the classical gradient descent method, we adopt the alternating minimization algorithm for realizing this scheme …”
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Low rank matrix completion by alternating steepest descent methods von Tanner, Jared, Wei, Ke

“… In this paper, we introduce an alternating steepest descent algorithm (ASD) and a scaled variant, ScaledASD, for the fixed-rank matrix completion problem …”
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Symmetric tensor decomposition by alternating gradient descent von Liu, Haixia

“… We use alternating gradient descent algorithm to solve. Although we focus on symmetric tensors in this article …”
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Sparse Index Tracking With K-Sparsity or ϵ-Deviation Constraint via ℓ0-Norm Minimization von Li, Xiao Peng, Shi, Zhang-Lei, Leung, Chi-Sing, So, Hing Cheung

“… This article formulates sparse index tracking as two constrained optimization problems and then proposes two algorithms, namely, nonnegative orthogonal matching pursuit with projected gradient descent (NNOMP-PGD …”
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Fast Rank-One Alternating Minimization Algorithm for Phase Retrieval von Cai, Jian-Feng, Liu, Haixia, Wang, Yang

“… An alternating gradient descent algorithm is proposed, and its convergence for any initialization is provided …”
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Robust Low-Rank Tensor Minimization via a New Tensor Spectral k -Support Norm von Lou, Jian, Cheung, Yiu-Ming

“… Recently, based on a new tensor algebraic framework for third-order tensors, the tensor singular value decomposition (t-SVD) and its associated tubal rank …”
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Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods von Attouch, Hedy, Bolte, Jérôme, Svaiter, Benar Fux

“… In view of the minimization of a nonsmooth nonconvex function f , we prove an abstract convergence result for descent methods satisfying a sufficient-decrease assumption, and allowing a relative error tolerance …”
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Millimeter-Wave Beamformed Full-Dimensional MIMO Channel Estimation Based on Atomic Norm Minimization von Tsai, Yingming, Zheng, Le, Wang, Xiaodong

“… ) and non-uniform planar arrays (NUPA). Unlike existing algorithms, such as compressive sensing (CS …”
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Fast Low Rank Column-Wise Compressive Sensing for Accelerated Dynamic MRI von Babu, Silpa, Lingala, Sajan Goud, Vaswani, Namrata

“… This work develops a novel set of algorithms, alternating Gradient Descent (GD) and minimization for MRI …”
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Fourier Phase Retrieval with Arbitrary Reference Signal von Arab, Fahimeh, Asif, M. Salman

“… In this paper, we present a Fourier phase retrieval algorithm in the presence of a known (reference) signal at arbitrary location in the scene …”
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Removal of Mainbeam Jamming Signals With Dual-Compensation-Phase Coding Radar von Zhang, Xiang, Lan, Lan, Zhu, Shengqi, Liao, Guisheng, Li, Ximin

“… This article investigates the removal of mainbeam jamming signals using a dual-compensation-phase coding (DC-PC) radar. At the transmitter, the waveforms are …”
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Phase retrieval based on a total‐variation‐regularized Poisson model for X‐ray ptychographic imaging of low‐contrast objects von Yatabe, Kohei, Takayama, Yuki

“… ‐retrieval algorithm, AMPAM, based on the Poisson model and total variation (TV) is proposed. It applies alternating minimization using primal …”
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