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On the Power of Preconditioning in Sparse Linear Regression

On the Power of Preconditioning in Sparse Linear Regression

17 June 2021
Jonathan A. Kelner
Frederic Koehler
Raghu Meka
Dhruv Rohatgi
ArXiv (abs)PDFHTML

Papers citing "On the Power of Preconditioning in Sparse Linear Regression"

4 / 4 papers shown
Title
Sparse Linear Regression and Lattice Problems
Sparse Linear Regression and Lattice Problems
A. Gupte
Neekon Vafa
Vinod Vaikuntanathan
192
1
0
22 Feb 2024
Distributional Hardness Against Preconditioned Lasso via Erasure-Robust
  Designs
Distributional Hardness Against Preconditioned Lasso via Erasure-Robust Designs
Jonathan A. Kelner
Frederic Koehler
Raghu Meka
Dhruv Rohatgi
45
3
0
05 Mar 2022
Unfolding-Aided Bootstrapped Phase Retrieval in Optical Imaging
Unfolding-Aided Bootstrapped Phase Retrieval in Optical Imaging
Samuel Pinilla
Kumar Vijay Mishra
I. Shevkunov
M. Soltanalian
V. Katkovnik
K. Egiazarian
41
15
0
03 Mar 2022
Optimistic Rates: A Unifying Theory for Interpolation Learning and
  Regularization in Linear Regression
Optimistic Rates: A Unifying Theory for Interpolation Learning and Regularization in Linear Regression
Lijia Zhou
Frederic Koehler
Danica J. Sutherland
Nathan Srebro
139
25
0
08 Dec 2021
1