Compressed Sensing and Matrix Completion with Constant Proportion of Corruptions

6 April 2011

Papers citing "Compressed Sensing and Matrix Completion with Constant Proportion of Corruptions"

50 / 50 papers shown

Title
Adversarial Phase Retrieval via Nonlinear Least Absolute Deviation Gao Huang Song Li Hang Xu 22 0 0 11 Dec 2023
Distribution-Independent Regression for Generalized Linear Models with Oblivious Corruptions Ilias Diakonikolas Sushrut Karmalkar Jongho Park Christos Tzamos 18 1 0 20 Sep 2023
Challenges of cellwise outliers Jakob Raymaekers P. Rousseeuw 23 12 0 04 Feb 2023
Square Root Principal Component Pursuit: Tuning-Free Noisy Robust Matrix Recovery Junhui Zhang Jingkai Yan John N. Wright 25 6 0 17 Jun 2021
Phase Transitions in Recovery of Structured Signals from Corrupted Measurements Zhongxing Sun Wei Cui Yulong Liu 19 2 0 03 Jan 2021
Outlier-robust sparse/low-rank least-squares regression and robust matrix completion Philip Thompson 19 9 0 12 Dec 2020
Low-Rank Matrix Recovery with Scaled Subgradient Methods: Fast and Robust Convergence Without the Condition Number Tian Tong Cong Ma Yuejie Chi 8 54 0 26 Oct 2020
Median Matrix Completion: from Embarrassment to Optimality Weidong Liu Xiaojun Mao Raymond K. W. Wong 13 2 0 18 Jun 2020
Robust Compressed Sensing using Generative Models A. Jalal Liu Liu A. Dimakis C. Caramanis 21 39 0 16 Jun 2020
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality Changxiao Cai H. Vincent Poor Yuxin Chen 13 23 0 15 Jun 2020
Robust Lasso-Zero for sparse corruption and model selection with missing covariates Pascaline Descloux Claire Boyer Julie Josse Aude Sportisse S. Sardy 20 4 0 12 May 2020
Depth-2 Neural Networks Under a Data-Poisoning Attack Sayar Karmakar Anirbit Mukherjee Ramchandran Muthukumar 4 7 0 04 May 2020
Nonconvex Matrix Completion with Linearly Parameterized Factors Ji Chen Xiaodong Li Zongming Ma 11 3 0 29 Mar 2020
Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data Yuxin Chen Jianqing Fan Cong Ma Yuling Yan 19 51 0 15 Jan 2020
Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal Recovery HanQin Cai Jian-Feng Cai Tianming Wang Guojian Yin 12 3 0 13 Oct 2019
Best Pair Formulation & Accelerated Scheme for Non-convex Principal Component Pursuit Aritra Dutta Filip Hanzely Jingwei Liang Peter Richtárik 9 10 0 25 May 2019
Low-rank matrix recovery with composite optimization: good conditioning and rapid convergence Vasileios Charisopoulos Yudong Chen Damek Davis Mateo Díaz Lijun Ding Dmitriy Drusvyatskiy 12 83 0 22 Apr 2019
$Outlier-robust estimation of a sparse linear model using $\ell_1$-penalized Huber's $M$-estimator$ Outlier-robust estimation of a sparse linear model using $\ell_1$ -penalized Huber's $M$ -estimator A. Dalalyan Philip Thompson 23 67 0 12 Apr 2019
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks Mingchen Li Mahdi Soltanolkotabi Samet Oymak NoLa 28 351 0 27 Mar 2019
High Dimensional Robust $M$ -Estimation: Arbitrary Corruption and Heavy Tails L. Liu Tianyang Li C. Caramanis 13 14 0 24 Jan 2019
Signal Reconstruction from Modulo Observations Viraj Shah C. Hegde 8 16 0 03 Dec 2018
Recovery guarantees for polynomial approximation from dependent data with outliers L. Ho Hayden Schaeffer Giang Tran Rachel A. Ward 14 2 0 25 Nov 2018
Compressed Sensing with Adversarial Sparse Noise via L1 Regression Sushrut Karmalkar Eric Price AAML 16 35 0 21 Sep 2018
High Dimensional Robust Sparse Regression L. Liu Yanyao Shen Tianyang Li C. Caramanis 4 71 0 29 May 2018
Nonconvex Low-Rank Matrix Recovery with Arbitrary Outliers via Median-Truncated Gradient Descent Yuanxin Li Yuejie Chi Huishuai Zhang Yingbin Liang 16 29 0 23 Sep 2017
Exact Tensor Completion from Sparsely Corrupted Observations via Convex Optimization J. Q. Jiang Michael K. Ng 16 20 0 02 Aug 2017
Multivariate Regression with Gross Errors on Manifold-valued Data Xiaowei Zhang Xudong Shi Yu Sun Li Cheng 15 8 0 26 Mar 2017
Multivariate Regression with Grossly Corrupted Observations: A Robust Approach and its Applications Xiaowei Zhang Chi Xu Yu Zhang T. Zhu Li Cheng 14 6 0 11 Jan 2017
Nearly-optimal Robust Matrix Completion Yeshwanth Cherapanamjeri Kartik Gupta Prateek Jain 33 99 0 23 Jun 2016
Robust Low-Rank Matrix Estimation A. Elsener Sara van de Geer 19 44 0 30 Mar 2016
Robust Elastic Net Regression Weiyang Liu Zhiding Yu Meng Yang OOD 13 2 0 15 Nov 2015
Recoverability of Group Sparse Signals from Corrupted Measurements via Robust Group Lasso Xiaohan Wei Qing Ling Zhu Han 21 1 0 28 Sep 2015
Smooth PARAFAC Decomposition for Tensor Completion Tatsuya Yokota Qibin Zhao A. Cichocki 12 248 0 25 May 2015
Robust Matrix Completion Olga Klopp Karim Lounici Alexandre B. Tsybakov 21 123 0 28 Dec 2014
Structured Low-Rank Matrix Factorization with Missing and Grossly Corrupted Observations Fanhua Shang Yuanyuan Liu Hanghang Tong James Cheng Hong Cheng 18 3 0 03 Sep 2014
Robust Low-rank Tensor Recovery: Models and Algorithms D. Goldfarb Zhiwei Qin 36 387 0 24 Nov 2013
The Squared-Error of Generalized LASSO: A Precise Analysis Samet Oymak Christos Thrampoulidis B. Hassibi 31 131 0 04 Nov 2013
Incoherence-Optimal Matrix Completion Yudong Chen 44 205 0 01 Oct 2013
Practical Matrix Completion and Corruption Recovery using Proximal Alternating Robust Subspace Minimization Yu-Xiang Wang C. Lee L. Cheong Kim-Chuan Toh 34 22 0 06 Sep 2013
Corrupted Sensing: Novel Guarantees for Separating Structured Signals Rina Foygel Lester W. Mackey 44 117 0 11 May 2013
Robust Spectral Compressed Sensing via Structured Matrix Completion Yuxin Chen Yuejie Chi 39 267 0 30 Apr 2013
Robust High Dimensional Sparse Regression and Matching Pursuit Yudong Chen C. Caramanis Shie Mannor 31 20 0 12 Jan 2013
Discussion: Latent variable graphical model selection via convex optimization Emmanuel J. Candés Mahdi Soltanolkotabi 36 39 0 05 Nov 2012
Improved Graph Clustering Yudong Chen Sujay Sanghavi Huan Xu 94 191 0 11 Oct 2012
Robust Lasso with missing and grossly corrupted observations Nam H. Nguyen T. Tran 69 155 0 02 Dec 2011
Clustering Partially Observed Graphs via Convex Optimization Yudong Chen A. Jalali Sujay Sanghavi Huan Xu 45 178 0 25 Apr 2011
Low-rank Matrix Recovery from Errors and Erasures Yudong Chen A. Jalali Sujay Sanghavi C. Caramanis 50 166 0 03 Apr 2011
Matrix completion with column manipulation: Near-optimal sample-robustness-rank tradeoffs Yudong Chen Huan Xu C. Caramanis Sujay Sanghavi 44 29 0 10 Feb 2011
Exact recoverability from dense corrupted observations via $L_1$ minimization Nam H. Nguyen T. Tran 50 117 0 07 Feb 2011
$Near-ideal model selection by $\ell_1$ minimization$ Near-ideal model selection by $\ell_1$ minimization Emmanuel J. Candès Y. Plan 129 215 0 02 Jan 2008