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Canonical thresholding for non-sparse high-dimensional linear regression

Canonical thresholding for non-sparse high-dimensional linear regression

24 July 2020
I. Silin
Jianqing Fan
ArXivPDFHTML

Papers citing "Canonical thresholding for non-sparse high-dimensional linear regression"

4 / 4 papers shown
Title
Surprises in High-Dimensional Ridgeless Least Squares Interpolation
Surprises in High-Dimensional Ridgeless Least Squares Interpolation
Trevor Hastie
Andrea Montanari
Saharon Rosset
Robert Tibshirani
126
737
0
19 Mar 2019
Moving Beyond Sub-Gaussianity in High-Dimensional Statistics:
  Applications in Covariance Estimation and Linear Regression
Moving Beyond Sub-Gaussianity in High-Dimensional Statistics: Applications in Covariance Estimation and Linear Regression
Arun K. Kuchibhotla
Abhishek Chakrabortty
40
108
0
08 Apr 2018
Minimax rates of estimation for high-dimensional linear regression over
  $\ell_q$-balls
Minimax rates of estimation for high-dimensional linear regression over ℓq\ell_qℓq​-balls
Garvesh Raskutti
Martin J. Wainwright
Bin Yu
161
575
0
11 Oct 2009
On the conditions used to prove oracle results for the Lasso
On the conditions used to prove oracle results for the Lasso
Sara van de Geer
Peter Buhlmann
215
729
0
05 Oct 2009
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