Rank-Sparsity Incoherence for Matrix Decomposition

11 June 2009

Sujay Sanghavi

Papers citing "Rank-Sparsity Incoherence for Matrix Decomposition"

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Title
Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications Fanhua Shang James Cheng Yuanyuan Liu Zhi-Quan Luo Zhouchen Lin 20 148 0 11 Oct 2018
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview Yuejie Chi Yue M. Lu Yuxin Chen 39 416 0 25 Sep 2018
Structured and Unstructured Outlier Identification for Robust PCA: A Non iterative, Parameter free Algorithm V. Menon Sheetal Kalyani 29 16 0 11 Sep 2018
Learning the effect of latent variables in Gaussian Graphical models with unobserved variables Marina Vinyes G. Obozinski CML 14 2 0 20 Jul 2018
Efficient Optimization Algorithms for Robust Principal Component Analysis and Its Variants Shiqian Ma N. Aybat 20 51 0 09 Jun 2018
Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition under Reshuffling Chao Li Mohammad Emtiyaz Khan Zhun Sun Gang Niu Bo Han Shengli Xie Qibin Zhao 19 7 0 22 May 2018
A Nonconvex Projection Method for Robust PCA Aritra Dutta Filip Hanzely Peter Richtárik 20 24 0 21 May 2018
Diverse Few-Shot Text Classification with Multiple Metrics Mo Yu Xiaoxiao Guo Jinfeng Yi Shiyu Chang Saloni Potdar Yu Cheng Gerald Tesauro Haoyu Wang Bowen Zhou 17 214 0 19 May 2018
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization G. Scutari Ying Sun 37 61 0 17 May 2018
Fast, Parameter free Outlier Identification for Robust PCA V. Menon Sheetal Kalyani 33 2 0 13 Apr 2018
Stochastic model-based minimization of weakly convex functions Damek Davis Dmitriy Drusvyatskiy 33 371 0 17 Mar 2018
An Overview of Robust Subspace Recovery Gilad Lerman Tyler Maunu 25 130 0 02 Mar 2018
Static and Dynamic Robust PCA and Matrix Completion: A Review Namrata Vaswani Praneeth Narayanamurthy 27 73 0 01 Mar 2018
Recovery of simultaneous low rank and two-way sparse coefficient matrices, a nonconvex approach Ming Yu Varun Gupta Mladen Kolar 29 21 0 20 Feb 2018
Latent Variable Time-varying Network Inference Federico Tomasi Veronica Tozzo Saverio Salzo A. Verri CML 21 20 0 12 Feb 2018
Sparse and Low-rank Tensor Estimation via Cubic Sketchings Botao Hao Anru R. Zhang Guang Cheng 6 50 0 29 Jan 2018
Side Information for Face Completion: a Robust PCA Approach Niannan Xue Jiankang Deng Shiyang Cheng Yannis Panagakis S. Zafeiriou CVBM 33 22 0 20 Jan 2018
Robust PCA for Anomaly Detection in Cyber Networks Randy Paffenroth Kathleen Kay L. Servi AAML 11 47 0 04 Jan 2018
Panoramic Robust PCA for Foreground-Background Separation on Noisy, Free-Motion Camera Video Brian E. Moore Chen Gao R. Nadakuditi 42 38 0 18 Dec 2017
Nearly Optimal Robust Subspace Tracking Praneeth Narayanamurthy Namrata Vaswani 20 9 0 17 Dec 2017
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution Cong Ma Kaizheng Wang Yuejie Chi Yuxin Chen 29 240 0 28 Nov 2017
Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery Namrata Vaswani T. Bouwmans S. Javed Praneeth Narayanamurthy OOD 35 273 0 26 Nov 2017
Accelerated Alternating Projections for Robust Principal Component Analysis HanQin Cai Jian-Feng Cai Ke Wei 39 66 0 15 Nov 2017
On Identification of Distribution Grids Omid Ardakanian V. Wong Roel Dobbe S. Low A. von Meier Claire Tomlin Ye Yuan 23 97 0 05 Nov 2017
Background Subtraction via Fast Robust Matrix Completion B. Rezaei Sarah Ostadabbas 23 21 0 03 Nov 2017
Optimal Shrinkage of Singular Values Under Random Data Contamination D. Barash M. Gavish 26 5 0 26 Oct 2017
Exact Camera Location Recovery by Least Unsquared Deviations Gilad Lerman Yunpeng Shi Teng Zhang 46 6 0 27 Sep 2017
Informed Non-convex Robust Principal Component Analysis with Features Niannan Xue Jiankang Deng Yannis Panagakis S. Zafeiriou 21 7 0 14 Sep 2017
Alternating minimization and alternating descent over nonconvex sets Wooseok Ha Rina Foygel Barber 13 8 0 13 Sep 2017
Robust Task Clustering for Deep Many-Task Learning Mo Yu Xiaoxiao Guo Jinfeng Yi Shiyu Chang Saloni Potdar Gerald Tesauro Haoyu Wang Bowen Zhou 22 1 0 26 Aug 2017
Robust PCA by Manifold Optimization Teng Zhang Yi Yang 37 45 0 01 Aug 2017
Robust Cost-Sensitive Learning for Recommendation with Implicit Feedback Peng Yang P. Zhao Xin Gao Yong Liu 29 20 0 03 Jul 2017
Hidden Talents of the Variational Autoencoder Bin Dai Yu Wang J. Aston G. Hua David Wipf DRL BDL 13 1 0 16 Jun 2017
Deep Generative Adversarial Networks for Compressed Sensing Automates MRI Morteza Mardani Enhao Gong Joseph Y. Cheng S. Vasanawala Greg Zaharchuk ... Neil Thakur Song Han W. Dally John M. Pauly Lei Xing MedIm GAN 13 156 0 31 May 2017
High Dimensional Structured Superposition Models Qilong Gu A. Banerjee 13 5 0 30 May 2017
Provable Dynamic Robust PCA or Robust Subspace Tracking Praneeth Narayanamurthy Namrata Vaswani 24 49 0 24 May 2017
SILVar: Single Index Latent Variable Models Jonathan Mei José M. F. Moura 15 24 0 09 May 2017
Adaptive Estimation in Structured Factor Models with Applications to Overlapping Clustering Xin Bing F. Bunea Y. Ning M. Wegkamp 22 39 0 23 Apr 2017
Robust Wirtinger Flow for Phase Retrieval with Arbitrary Corruption Jinghui Chen Lingxiao Wang Xiao Zhang Quanquan Gu 14 22 0 20 Apr 2017
Provable Inductive Robust PCA via Iterative Hard Thresholding U. Niranjan A. Rajkumar Theja Tulabandhula OOD 16 5 0 02 Apr 2017
Asymptotic performance of PCA for high-dimensional heteroscedastic data David Hong Laura Balzano Jeffrey A. Fessler 36 54 0 20 Mar 2017
Accelerating Permutation Testing in Voxel-wise Analysis through Subspace Tracking: A new plugin for SnPM Felipe Gutierrez-Barragan V. Ithapu Chris Hinrichs Camille Maumet Sterling C. Johnson Thomas E. Nichols Vikas Singh the ADNI 18 5 0 04 Mar 2017
Introduction to Nonnegative Matrix Factorization Nicolas Gillis 27 46 0 02 Mar 2017
Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimizations Pan Xu Jian Ma Quanquan Gu CML 24 22 0 28 Feb 2017
A Unified Framework for Low-Rank plus Sparse Matrix Recovery Xiao Zhang Lingxiao Wang Quanquan Gu 22 10 0 21 Feb 2017
PCA in Data-Dependent Noise (Correlated-PCA): Nearly Optimal Finite Sample Guarantees Namrata Vaswani Praneeth Narayanamurthy 42 2 0 10 Feb 2017
Low Rank Matrix Recovery with Simultaneous Presence of Outliers and Sparse Corruption M. Rahmani George Atia 19 6 0 07 Feb 2017
Nonlinear network-based quantitative trait prediction from transcriptomic data Emilie Devijver M. Gallopin Émeline Perthame 21 8 0 26 Jan 2017
Low-Rank Inducing Norms with Optimality Interpretations Christian Grussler Pontus Giselsson 23 19 0 09 Dec 2016
Robust Low-Complexity Randomized Methods for Locating Outliers in Large Matrices Xingguo Li Jarvis Haupt 17 2 0 07 Dec 2016