Rank-Sparsity Incoherence for Matrix Decomposition

11 June 2009

Sujay Sanghavi

Papers citing "Rank-Sparsity Incoherence for Matrix Decomposition"

50 / 276 papers shown

Title
Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI C. Ting Jeremy I. Skipper S. Small H. Ombao 14 7 0 24 Jan 2021
Learning and scoring Gaussian latent variable causal models with unknown additive interventions Armeen Taeb Juan L. Gamella C. Heinze-Deml Peter Buhlmann CML 38 2 0 18 Jan 2021
Robust CUR Decomposition: Theory and Imaging Applications HanQin Cai Keaton Hamm Longxiu Huang Deanna Needell 19 41 0 05 Jan 2021
Phase Transitions in Recovery of Structured Signals from Corrupted Measurements Zhongxing Sun Wei Cui Yulong Liu 19 2 0 03 Jan 2021
Matrix optimization based Euclidean embedding with outliers Qian Zhang Xinyuan Zhao Chao Ding 36 2 0 23 Dec 2020
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 44 165 0 15 Dec 2020
Outlier-robust sparse/low-rank least-squares regression and robust matrix completion Philip Thompson 21 9 0 12 Dec 2020
Rank-One Network: An Effective Framework for Image Restoration Yuxin Li Xiahai Zhuang 19 7 0 25 Nov 2020
Leveraged Matrix Completion with Noise Xinjian Huang Weiwei Liu Bo Du Dacheng Tao 16 1 0 11 Nov 2020
Deep Low-rank plus Sparse Network for Dynamic MR Imaging Wenqi Huang Ziwen Ke Zhuoxu Cui Jing Cheng Zhilang Qiu Sen Jia Leslie Ying Yanjie Zhu Dong Liang 50 69 0 26 Oct 2020
Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation HanQin Cai Keaton Hamm Longxiu Huang Jiaqi Li Tao Wang 8 42 0 14 Oct 2020
A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation Huynh Van Luong Boris Joukovsky Yonina C. Eldar Nikos Deligiannis 32 15 0 02 Oct 2020
Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints Dimitris Bertsimas Ryan Cory-Wright J. Pauphilet 25 21 0 22 Sep 2020
Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers Lunjia Hu Omer Reingold OOD 31 5 0 18 Aug 2020
Robust Low-rank Matrix Completion via an Alternating Manifold Proximal Gradient Continuation Method Minhui Huang Shiqian Ma Lifeng Lai 22 26 0 18 Aug 2020
Robust Tensor Principal Component Analysis: Exact Recovery via Deterministic Model Bo Shen Zhenyu Z. Kong 8 3 0 05 Aug 2020
Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution under Random Designs Yuxin Chen Jianqing Fan B. Wang Yuling Yan 17 16 0 04 Aug 2020
Accounting for missing actors in interaction network inference from abundance data Raphaelle Momal Stephane S. Robin Christophe Ambroise CML 21 5 0 28 Jul 2020
Compressed sensing of low-rank plus sparse matrices Jared Tanner Simon Vary 9 15 0 18 Jul 2020
Fixing Inventory Inaccuracies At Scale Vivek F. Farias Andrew A. Li Tianyi Peng 8 1 0 23 Jun 2020
Median Matrix Completion: from Embarrassment to Optimality Weidong Liu Xiaojun Mao Raymond K. W. Wong 18 2 0 18 Jun 2020
Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization Chong You Zhihui Zhu Qing Qu Yi Ma 4 41 0 16 Jun 2020
Fast Robust Subspace Tracking via PCA in Sparse Data-Dependent Noise Praneeth Narayanamurthy Namrata Vaswani 29 10 0 14 Jun 2020
Estimating Principal Components under Adversarial Perturbations Pranjal Awasthi Xue Chen Aravindan Vijayaraghavan AAML 17 2 0 31 May 2020
Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent Tian Tong Cong Ma Yuejie Chi 29 115 0 18 May 2020
Solving the Robust Matrix Completion Problem via a System of Nonlinear Equations Yunfeng Cai P. Li 21 5 0 24 Mar 2020
Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data Yuxin Chen Jianqing Fan Cong Ma Yuling Yan 21 52 0 15 Jan 2020
Deformable Groupwise Image Registration using Low-Rank and Sparse Decomposition Roland Haase Stefan Heldmann J. Lellmann 9 5 0 10 Jan 2020
Outlier Detection and Data Clustering via Innovation Search M. Rahmani P. Li 34 3 0 30 Dec 2019
Sparse Optimization on General Atomic Sets: Greedy and Forward-Backward Algorithms Thomas T. Zhang 11 0 0 26 Dec 2019
Adversarially Robust Low Dimensional Representations Pranjal Awasthi Vaggos Chatziafratis Xue Chen Aravindan Vijayaraghavan AAML OOD 20 12 0 29 Nov 2019
Sparsely Grouped Input Variables for Neural Networks Beibin Li Nicholas Nuechterlein E. Barney C. Hudac P. Ventola Linda G. Shapiro Frederick Shic 24 1 0 29 Nov 2019
Estimating Differential Latent Variable Graphical Models with Applications to Brain Connectivity Sen Na Mladen Kolar Oluwasanmi Koyejo 19 23 0 12 Sep 2019
Error Bounded Foreground and Background Modeling for Moving Object Detection in Satellite Videos Junpeng Zhang Wenxuan Wang Jiankun Hu 30 49 0 26 Aug 2019
Binary component decomposition Part II: The asymmetric case R. Kueng J. Tropp 94 7 0 31 Jul 2019
Best Pair Formulation & Accelerated Scheme for Non-convex Principal Component Pursuit Aritra Dutta Filip Hanzely Jingwei Liang Peter Richtárik 17 10 0 25 May 2019
Refined Complexity of PCA with Outliers F. Fomin P. Golovach Fahad Panolan Kirill Simonov 16 17 0 10 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 14 83 0 22 Apr 2019
Simple Heuristics Yield Provable Algorithms for Masked Low-Rank Approximation Cameron Musco Christopher Musco David P. Woodruff 16 1 0 22 Apr 2019
Robust Alignment for Panoramic Stitching via an Exact Rank Constraint Yuelong Li M. Tofighi V. Monga 11 18 0 01 Apr 2019
Learning Dependency Structures for Weak Supervision Models P. Varma Frederic Sala A. He Alexander Ratner Christopher Ré NoLa 19 67 0 14 Mar 2019
Target-based Hyperspectral Demixing via Generalized Robust PCA Sirisha Rambhatla Xingguo Li Jarvis Haupt 11 7 0 26 Feb 2019
A Dictionary-Based Generalization of Robust PCA Part II: Applications to Hyperspectral Demixing Sirisha Rambhatla Xingguo Li Jineng Ren Jarvis Haupt 15 6 0 26 Feb 2019
A Dictionary-Based Generalization of Robust PCA with Applications to Target Localization in Hyperspectral Imaging Sirisha Rambhatla Xingguo Li Jineng Ren Jarvis Haupt 22 2 0 21 Feb 2019
A Dictionary Based Generalization of Robust PCA Sirisha Rambhatla Xingguo Li Jarvis Haupt 10 9 0 21 Feb 2019
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma Yuling Yan 20 128 0 20 Feb 2019
Ising Models with Latent Conditional Gaussian Variables Frank Nussbaum Joachim Giesen CML 17 6 0 28 Jan 2019
Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Rank-1 Robust Principal Component Analysis S. Fattahi Somayeh Sojoudi 27 38 0 30 Dec 2018
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames Geneviève Robin Hoi-To Wai Julie Josse Olga Klopp Eric Moulines OffRL 16 5 0 20 Dec 2018
RSVP-graphs: Fast High-dimensional Covariance Matrix Estimation under Latent Confounding Rajen Dinesh Shah Benjamin Frot Gian-Andrea Thanei N. Meinshausen 19 6 0 02 Nov 2018