Fast and Provable Tensor Robust Principal Component Analysis via Scaled Gradient Descent

18 June 2022

Papers citing "Fast and Provable Tensor Robust Principal Component Analysis via Scaled Gradient Descent"

6 / 6 papers shown

Title
Outlier-aware Tensor Robust Principal Component Analysis with Self-guided Data Augmentation Yangyang Xu Kexin Li Li Yang You-wei Wen 17 0 0 25 Apr 2025
Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Lanlan Feng Ce Zhu Yipeng Liu Saiprasad Ravishankar Longxiu Huang 37 0 0 20 Jan 2025
Provably Accelerating Ill-Conditioned Low-rank Estimation via Scaled Gradient Descent, Even with Overparameterization Cong Ma Xingyu Xu Tian Tong Yuejie Chi 11 9 0 09 Oct 2023
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruption HanQin Cai Zehan Chao Longxiu Huang Deanna Needell 29 11 0 06 May 2023
Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence Yuetian Luo Anru R. Zhang 40 18 0 24 Apr 2021
Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm Canyi Lu Jiashi Feng Yudong Chen W. Liu Zhouchen Lin Shuicheng Yan 49 731 0 10 Apr 2018