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An Overview of Robust Subspace Recovery

2 March 2018

Papers citing "An Overview of Robust Subspace Recovery"

29 / 29 papers shown

Title
T-Rex: Fitting a Robust Factor Model via Expectation-Maximization Daniel Cederberg 73 0 0 17 May 2025
A Riemannian ADMM Jiaxiang Li Shiqian Ma Tejes Srivastava 35 17 0 03 Nov 2022
Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery Tyler Maunu Thibaut Le Gouic Philippe Rigollet 54 5 0 26 Oct 2022
Stochastic and Private Nonconvex Outlier-Robust PCA Tyler Maunu Chenyun Yu Gilad Lerman 112 3 0 17 Mar 2022
Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity Dan Garber Ron Fisher 55 1 0 08 Feb 2022
Robust Vector Quantized-Variational Autoencoder Chieh-Hsin Lai Dongmian Zou Gilad Lerman DRL 115 6 0 04 Feb 2022
SLA $^2$ P: Self-supervised Anomaly Detection with Adversarial Perturbation Yizhou Wang Can Qin Rongzhe Wei Yi Tian Xu Yue Bai Y. Fu AAML 60 5 0 25 Nov 2021
Error-Robust Multi-View Clustering: Progress, Challenges and Opportunities Mehrnaz Najafi Lifang He Philip S. Yu 19 0 0 07 May 2021
HePPCAT: Probabilistic PCA for Data with Heteroscedastic Noise David Hong Kyle Gilman Laura Balzano Jeffrey A. Fessler 135 20 0 10 Jan 2021
The Virtual Goniometer: A new method for measuring angles on 3D models of fragmentary bone and lithics K. Yezzi-Woodley Jeff Calder P. Olver Annie Melton Paige Cody Thomas Huffstutler Alexander Terwilliger M. Tappen Reed Coil G. Tostevin 15 4 0 10 Nov 2020
Modal Principal Component Analysis Keishi Sando H. Hino 55 16 0 07 Aug 2020
From Symmetry to Geometry: Tractable Nonconvex Problems Yuqian Zhang Qing Qu John N. Wright 87 45 0 14 Jul 2020
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning Shixiang Chen Zengde Deng Shiqian Ma Anthony Man-Cho So 74 28 0 05 May 2020
$Depth Descent Synchronization in $\mathrm{SO}(D)$$ Depth Descent Synchronization in $\mathrm{SO}(D)$ Tyler Maunu Gilad Lerman MDE 62 2 0 13 Feb 2020
List Decodable Subspace Recovery P. Raghavendra Morris Yau 103 25 0 07 Feb 2020
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications Qing Qu Zhihui Zhu Xiao Li M. Tsakiris John N. Wright René Vidal 56 20 0 20 Jan 2020
Outlier Detection and Data Clustering via Innovation Search M. Rahmani P. Li 73 3 0 30 Dec 2019
Deep Autoencoders with Value-at-Risk Thresholding for Unsupervised Anomaly Detection A. Akhriev Jakub Mareˇcek UQCV 58 4 0 09 Dec 2019
Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods Xiao Li Shixiang Chen Zengde Deng Qing Qu Zhihui Zhu Anthony Man-Cho So 64 15 0 12 Nov 2019
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution Qing Qu Xiao Li Zhihui Zhu 88 31 0 28 Aug 2019
Robust Subspace Recovery with Adversarial Outliers Tyler Maunu Gilad Lerman 52 19 0 05 Apr 2019
Robust Subspace Recovery Layer for Unsupervised Anomaly Detection Chieh-Hsin Lai Dongmian Zou Gilad Lerman UQCV 57 62 0 30 Mar 2019
An algebraic-geometric approach for linear regression without correspondences M. Tsakiris Liangzu Peng A. Conca L. Kneip Yuanming Shi Hayoung Choi 117 18 0 12 Oct 2018
Structured and Unstructured Outlier Identification for Robust PCA: A Non iterative, Parameter free Algorithm V. Menon Sheetal Kalyani 51 16 0 11 Sep 2018
Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise A. Akhriev Jakub Mareˇcek Andrea Simonetto 60 8 0 10 Sep 2018
Fast, Parameter free Outlier Identification for Robust PCA V. Menon Sheetal Kalyani 61 2 0 13 Apr 2018
Static and Dynamic Robust PCA and Matrix Completion: A Review Namrata Vaswani Praneeth Narayanamurthy 80 74 0 01 Mar 2018
Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery Namrata Vaswani T. Bouwmans S. Javed Praneeth Narayanamurthy OOD 96 278 0 26 Nov 2017
A Well-Tempered Landscape for Non-convex Robust Subspace Recovery Tyler Maunu Teng Zhang Gilad Lerman 66 63 0 13 Jun 2017