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Outlier-robust sparse/low-rank least-squares regression and robust
  matrix completion
v1v2v3 (latest)

Outlier-robust sparse/low-rank least-squares regression and robust matrix completion

12 December 2020
Philip Thompson
ArXiv (abs)PDFHTML

Papers citing "Outlier-robust sparse/low-rank least-squares regression and robust matrix completion"

6 / 6 papers shown
Computationally Efficient and Statistically Optimal Robust
  High-Dimensional Linear Regression
Computationally Efficient and Statistically Optimal Robust High-Dimensional Linear Regression
Yinan Shen
Jingyang Li
Jian-Feng Cai
Dong Xia
351
2
0
10 May 2023
Robust and Tuning-Free Sparse Linear Regression via Square-Root Slope
Robust and Tuning-Free Sparse Linear Regression via Square-Root SlopeSIAM Journal on Mathematics of Data Science (SIMODS), 2022
Stanislav Minsker
M. Ndaoud
Lan Wang
410
9
0
30 Oct 2022
A spectral least-squares-type method for heavy-tailed corrupted
  regression with unknown covariance \& heterogeneous noise
A spectral least-squares-type method for heavy-tailed corrupted regression with unknown covariance \& heterogeneous noise
R. I. Oliveira
Zoraida F. Rico
Philip Thompson
231
0
0
06 Sep 2022
Outlier Robust and Sparse Estimation of Linear Regression Coefficients
Outlier Robust and Sparse Estimation of Linear Regression Coefficients
Takeyuki Sasai
Hironori Fujisawa
525
6
0
24 Aug 2022
Robust and Sparse Estimation of Linear Regression Coefficients with
  Heavy-tailed Noises and Covariates
Robust and Sparse Estimation of Linear Regression Coefficients with Heavy-tailed Noises and Covariates
Takeyuki Sasai
551
5
0
15 Jun 2022
Adversarial Robust Low Rank Matrix Estimation: Compressed Sensing and
  Matrix Completion
Adversarial Robust Low Rank Matrix Estimation: Compressed Sensing and Matrix Completion
Takeyuki Sasai
Hironori Fujisawa
561
0
0
25 Oct 2020
1
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