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Outlier Robust and Sparse Estimation of Linear Regression Coefficients

Outlier Robust and Sparse Estimation of Linear Regression Coefficients

24 August 2022
Takeyuki Sasai
Hironori Fujisawa
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Papers citing "Outlier Robust and Sparse Estimation of Linear Regression Coefficients"

8 / 8 papers shown
Title
Robust Sparse Regression with Non-Isotropic Designs
Robust Sparse Regression with Non-Isotropic Designs
Chih-Hung Liu
Gleb Novikov
29
0
0
31 Oct 2024
Sparse Linear Regression when Noises and Covariates are Heavy-Tailed and
  Contaminated by Outliers
Sparse Linear Regression when Noises and Covariates are Heavy-Tailed and Contaminated by Outliers
Takeyuki Sasai
Hironori Fujisawa
16
0
0
02 Aug 2024
Robust and Tuning-Free Sparse Linear Regression via Square-Root Slope
Robust and Tuning-Free Sparse Linear Regression via Square-Root Slope
Stanislav Minsker
M. Ndaoud
Lan Wang
22
8
0
30 Oct 2022
Robust Methods for High-Dimensional Linear Learning
Robust Methods for High-Dimensional Linear Learning
Ibrahim Merad
Stéphane Gaïffas
OOD
31
3
0
10 Aug 2022
A Shrinkage Principle for Heavy-Tailed Data: High-Dimensional Robust
  Low-Rank Matrix Recovery
A Shrinkage Principle for Heavy-Tailed Data: High-Dimensional Robust Low-Rank Matrix Recovery
Jianqing Fan
Weichen Wang
Ziwei Zhu
42
95
0
28 Mar 2016
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax
Weijie Su
Emmanuel Candes
39
144
0
29 Mar 2015
Learning without Concentration for General Loss Functions
Learning without Concentration for General Loss Functions
S. Mendelson
53
65
0
13 Oct 2014
Learning without Concentration
Learning without Concentration
S. Mendelson
76
326
0
01 Jan 2014
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