$$\ell _p$$ ℓ p Regularized low-rank approximation via iterative reweighted singular value minimization
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DOI: 10.1007/s10589-017-9933-6
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- Xiaojun Chen & Weijun Zhou, 2014. "Convergence of the reweighted ℓ 1 minimization algorithm for ℓ 2 –ℓ p minimization," Computational Optimization and Applications, Springer, vol. 59(1), pages 47-61, October.
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- Lingchen Kong & Naihua Xiu, 2013. "EXACT LOW-RANK MATRIX RECOVERY VIA NONCONVEX SCHATTEN p-MINIMIZATION," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 30(03), pages 1-13.
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Cited by:
- Hao Wang & Fan Zhang & Yuanming Shi & Yaohua Hu, 2021. "Nonconvex and Nonsmooth Sparse Optimization via Adaptively Iterative Reweighted Methods," Journal of Global Optimization, Springer, vol. 81(3), pages 717-748, November.
- Yaohua Hu & Jiawen Li & Carisa Kwok Wai Yu, 2020. "Convergence rates of subgradient methods for quasi-convex optimization problems," Computational Optimization and Applications, Springer, vol. 77(1), pages 183-212, September.
- Quan Yu & Xinzhen Zhang, 2022. "A smoothing proximal gradient algorithm for matrix rank minimization problem," Computational Optimization and Applications, Springer, vol. 81(2), pages 519-538, March.
- Yaohua Hu & Chong Li & Kaiwen Meng & Xiaoqi Yang, 2021. "Linear convergence of inexact descent method and inexact proximal gradient algorithms for lower-order regularization problems," Journal of Global Optimization, Springer, vol. 79(4), pages 853-883, April.
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Keywords
Low-rank approximation; Schatten-p quasi-norm regularized matrix minimization; Iterative reweighted singular value minimization; Iterative reweighted least squares;All these keywords.
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