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Efficient Optimization Algorithms for Robust Principal Component
  Analysis and Its Variants

Efficient Optimization Algorithms for Robust Principal Component Analysis and Its Variants

9 June 2018
Shiqian Ma
N. Aybat
ArXiv (abs)PDFHTML

Papers citing "Efficient Optimization Algorithms for Robust Principal Component Analysis and Its Variants"

13 / 13 papers shown
Title
LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient
  Language Model Finetuning
LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning
Han Guo
P. Greengard
Eric P. Xing
Yoon Kim
MQ
123
57
0
20 Nov 2023
Rethinking Point Cloud Filtering: A Non-Local Position Based Approach
Rethinking Point Cloud Filtering: A Non-Local Position Based Approach
Jinxi Wang
Jincen Jiang
Xuequan Lu
Meili Wang
3DPC
76
14
0
14 Oct 2021
Hankel-structured Tensor Robust PCA for Multivariate Traffic Time Series
  Anomaly Detection
Hankel-structured Tensor Robust PCA for Multivariate Traffic Time Series Anomaly Detection
Xudong Wang
L. Miranda-Moreno
Lijun Sun
53
13
0
08 Oct 2021
Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low
  Rank Estimation
Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation
HanQin Cai
Keaton Hamm
Longxiu Huang
Jiaqi Li
Tao Wang
63
44
0
14 Oct 2020
Robust Low-rank Matrix Completion via an Alternating Manifold Proximal
  Gradient Continuation Method
Robust Low-rank Matrix Completion via an Alternating Manifold Proximal Gradient Continuation Method
Minhui Huang
Shiqian Ma
Lifeng Lai
59
26
0
18 Aug 2020
Performance analysis of weighted low rank model with sparse image
  histograms for face recognition under lowlevel illumination and occlusion
Performance analysis of weighted low rank model with sparse image histograms for face recognition under lowlevel illumination and occlusion
K. Sridhar
Raghu vamshi Hemadri
CVBM
32
2
0
24 Jul 2020
Fixing Inventory Inaccuracies At Scale
Fixing Inventory Inaccuracies At Scale
Vivek F. Farias
Andrew A. Li
Tianyi Peng
49
2
0
23 Jun 2020
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth
  Optimization over the Stiefel Manifold
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold
Bokun Wang
Shiqian Ma
Lingzhou Xue
78
19
0
03 May 2020
Bridging Convex and Nonconvex Optimization in Robust PCA: Noise,
  Outliers, and Missing Data
Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data
Yuxin Chen
Jianqing Fan
Cong Ma
Yuling Yan
83
52
0
15 Jan 2020
Deep Autoencoders with Value-at-Risk Thresholding for Unsupervised
  Anomaly Detection
Deep Autoencoders with Value-at-Risk Thresholding for Unsupervised Anomaly Detection
A. Akhriev
Jakub Mareˇcek
UQCV
58
4
0
09 Dec 2019
Matrix Normal PCA for Interpretable Dimension Reduction and Graphical
  Noise Modeling
Matrix Normal PCA for Interpretable Dimension Reduction and Graphical Noise Modeling
Chihao Zhang
Kuo Gai
Shihua Zhang
51
12
0
25 Nov 2019
Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and
  Measurement Noise
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
Low Rank Regularization: A Review
Low Rank Regularization: A Review
Zhanxuan Hu
Feiping Nie
Rong Wang
Xuelong Li
57
81
0
14 Aug 2018
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