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On tight bounds for the Lasso

On tight bounds for the Lasso

3 April 2018
Sara van de Geer
ArXiv (abs)PDFHTML

Papers citing "On tight bounds for the Lasso"

16 / 16 papers shown
Title
Lasso with Latents: Efficient Estimation, Covariate Rescaling, and
  Computational-Statistical Gaps
Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps
Jonathan A. Kelner
Frederic Koehler
Raghu Meka
Dhruv Rohatgi
59
2
0
23 Feb 2024
On the design-dependent suboptimality of the Lasso
On the design-dependent suboptimality of the Lasso
Reese Pathak
Cong Ma
72
5
0
01 Feb 2024
Cooperative Thresholded Lasso for Sparse Linear Bandit
Cooperative Thresholded Lasso for Sparse Linear Bandit
Haniyeh Barghi
Xiaotong Cheng
S. Maghsudi
80
0
0
30 May 2023
Feature Adaptation for Sparse Linear Regression
Feature Adaptation for Sparse Linear Regression
Jonathan A. Kelner
Frederic Koehler
Raghu Meka
Dhruv Rohatgi
56
8
0
26 May 2023
PopArt: Efficient Sparse Regression and Experimental Design for Optimal
  Sparse Linear Bandits
PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits
Kyoungseok Jang
Chicheng Zhang
Kwang-Sung Jun
174
14
0
25 Oct 2022
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
Denoising and change point localisation in piecewise-constant
  high-dimensional regression coefficients
Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients
Fan Wang
Oscar Hernan Madrid Padilla
Yi Yu
Alessandro Rinaldo
90
5
0
27 Oct 2021
On the Power of Preconditioning in Sparse Linear Regression
On the Power of Preconditioning in Sparse Linear Regression
Jonathan A. Kelner
Frederic Koehler
Raghu Meka
Dhruv Rohatgi
47
17
0
17 Jun 2021
On a phase transition in general order spline regression
On a phase transition in general order spline regression
Yandi Shen
Q. Han
Fang Han
74
5
0
23 Apr 2020
Localizing Changes in High-Dimensional Vector Autoregressive Processes
Localizing Changes in High-Dimensional Vector Autoregressive Processes
Daren Wang
Yi Yu
Alessandro Rinaldo
Rebecca Willett
85
22
0
12 Sep 2019
Harmless interpolation of noisy data in regression
Harmless interpolation of noisy data in regression
Vidya Muthukumar
Kailas Vodrahalli
Vignesh Subramanian
A. Sahai
84
203
0
21 Mar 2019
Oracle inequalities for square root analysis estimators with application
  to total variation penalties
Oracle inequalities for square root analysis estimators with application to total variation penalties
Francesco Ortelli
Sara van de Geer
48
6
0
28 Feb 2019
Synthesis and analysis in total variation regularization
Synthesis and analysis in total variation regularization
Francesco Ortelli
Sara van de Geer
44
12
0
18 Jan 2019
On the total variation regularized estimator over a class of tree graphs
On the total variation regularized estimator over a class of tree graphs
Francesco Ortelli
Sara van de Geer
47
19
0
04 Jun 2018
The noise barrier and the large signal bias of the Lasso and other
  convex estimators
The noise barrier and the large signal bias of the Lasso and other convex estimators
Pierre C. Bellec
63
18
0
04 Apr 2018
Adaptive Risk Bounds in Univariate Total Variation Denoising and Trend
  Filtering
Adaptive Risk Bounds in Univariate Total Variation Denoising and Trend Filtering
Adityanand Guntuboyina
Donovan Lieu
S. Chatterjee
B. Sen
82
67
0
16 Feb 2017
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