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Accelerated Alternating Projections for Robust Principal Component Analysis

15 November 2017

Papers citing "Accelerated Alternating Projections for Robust Principal Component Analysis"

24 / 24 papers shown

Title
A Dual Basis Approach for Structured Robust Euclidean Distance Geometry Chandra Kundu Abiy Tasissa HanQin Cai 50 0 0 23 May 2025
RGNMR: A Gauss-Newton method for robust matrix completion with theoretical guarantees Eilon Vaknin Laufer Boaz Nadler 72 0 0 19 May 2025
Structured Sampling for Robust Euclidean Distance Geometry Chandra Kundu Abiy Tasissa HanQin Cai 170 1 0 14 Dec 2024
Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery Paris Giampouras HanQin Cai René Vidal 147 4 0 22 Oct 2024
Riemannian Optimization for Non-convex Euclidean Distance Geometry with Global Recovery Guarantees Chandler Smith HanQin Cai Abiy Tasissa 77 4 0 08 Oct 2024
Leave-One-Out Analysis for Nonconvex Robust Matrix Completion with General Thresholding Functions Tianming Wang Ke Wei 68 1 0 28 Jul 2024
On the Robustness of Cross-Concentrated Sampling for Matrix Completion HanQin Cai Longxiu Huang Chandra Kundu Bowen Su 74 4 0 28 Jan 2024
Robust Principal Component Analysis using Density Power Divergence Subhrajyoty Roy A. Basu A. Ghosh 22 0 0 24 Sep 2023
Deep Unrolling for Nonconvex Robust Principal Component Analysis E. C. Tan C. Chaux Emmanuel Soubies Vincent Y. F. Tan 97 3 0 12 Jul 2023
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruption HanQin Cai Zehan Chao Longxiu Huang Deanna Needell 113 11 0 06 May 2023
Robust Implementation of Foreground Extraction and Vessel Segmentation for X-ray Coronary Angiography Image Sequence Zeyu Fu Zhuang Fu Chenzhuo Lv Jun Yan Jian Fei Hui Han 175 12 0 15 Sep 2022
Fast and Provable Tensor Robust Principal Component Analysis via Scaled Gradient Descent Harry Dong Tian Tong Cong Ma Yuejie Chi 89 14 0 18 Jun 2022
Riemannian CUR Decompositions for Robust Principal Component Analysis Keaton Hamm Mohamed Meskini HanQin Cai 84 9 0 17 Jun 2022
abess: A Fast Best Subset Selection Library in Python and R Jin Zhu Xueqin Wang Liyuan Hu Junhao Huang Kangkang Jiang Yanhang Zhang Shiyun Lin Junxian Zhu 92 22 0 19 Oct 2021
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection HanQin Cai Jialin Liu W. Yin 121 42 0 11 Oct 2021
Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach Dimitris Bertsimas Ryan Cory-Wright Nicholas A. G. Johnson 73 13 0 26 Sep 2021
Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition HanQin Cai Zehan Chao Longxiu Huang Deanna Needell 62 17 0 23 Aug 2021
Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian Optimization Jian-Feng Cai Jingyang Li Dong Xia 150 31 0 16 Mar 2021
Robust CUR Decomposition: Theory and Imaging Applications HanQin Cai Keaton Hamm Longxiu Huang Deanna Needell 81 43 0 05 Jan 2021
Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation HanQin Cai Keaton Hamm Longxiu Huang Jiaqi Li Tao Wang 71 44 0 14 Oct 2020
Fast algorithms for robust principal component analysis with an upper bound on the rank Ningyu Sha Lei Shi Ming Yan 28 4 0 18 Aug 2020
Compressed sensing of low-rank plus sparse matrices Jared Tanner Simon Vary 38 16 0 18 Jul 2020
Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data Yuxin Chen Jianqing Fan Cong Ma Yuling Yan 96 52 0 15 Jan 2020
Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal Recovery HanQin Cai Jian-Feng Cai Tianming Wang Guojian Yin 63 3 0 13 Oct 2019