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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

15 June 2022
Takeyuki Sasai
ArXivPDFHTML

Papers citing "Robust and Sparse Estimation of Linear Regression Coefficients with Heavy-tailed Noises and Covariates"

6 / 6 papers shown
Title
Robust Sparse Regression with Non-Isotropic Designs
Robust Sparse Regression with Non-Isotropic Designs
Chih-Hung Liu
Gleb Novikov
36
2
0
31 Oct 2024
High-dimensional robust regression under heavy-tailed data: Asymptotics
  and Universality
High-dimensional robust regression under heavy-tailed data: Asymptotics and Universality
Sining Chen
Leonardo Defilippis
Bruno Loureiro
G. Sicuro
16
10
0
28 Sep 2023
Outlier Robust and Sparse Estimation of Linear Regression Coefficients
Outlier Robust and Sparse Estimation of Linear Regression Coefficients
Takeyuki Sasai
Hironori Fujisawa
27
4
0
24 Aug 2022
Robust Methods for High-Dimensional Linear Learning
Robust Methods for High-Dimensional Linear Learning
Ibrahim Merad
Stéphane Gaïffas
OOD
43
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
49
96
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
65
145
0
29 Mar 2015
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