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$L_1$ -Penalization in Functional Linear Regression with Subgaussian Design

30 July 2013

V. Koltchinskii

Stanislav Minsker

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Papers citing "$L_1$-Penalization in Functional Linear Regression with Subgaussian Design"

7 / 7 papers shown

Universality in block dependent linear models with applications to nonparametric regression

Samriddha Lahiry

Pragya Sur

425

30 Dec 2023

Semi-Random Sparse Recovery in Nearly-Linear TimeAnnual Conference Computational Learning Theory (COLT), 2022

269

08 Mar 2022

On the Power of Preconditioning in Sparse Linear Regression

281

17 Jun 2021

Learning Some Popular Gaussian Graphical Models without Condition Number BoundsNeural Information Processing Systems (NeurIPS), 2019

513

03 May 2019

Lasso in infinite dimension: application to variable selection in functional multivariate linear regression

A. Roche

486

29 Mar 2019

Adapting to unknown noise level in sparse deconvolution

Claire Boyer

Yohann De Castro

Joseph Salmon

199

15 Jun 2016

Worst possible sub-directions in high-dimensional modelsJournal of Multivariate Analysis (JMA), 2014

Sara van de Geer

381

27 Mar 2014

L1L_1L1​-Penalization in Functional Linear Regression with Subgaussian Design

Papers citing "$L_1$-Penalization in Functional Linear Regression with Subgaussian Design"

$L_1$ -Penalization in Functional Linear Regression with Subgaussian Design