ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1001.0188
  4. Cited By
Least squares after model selection in high-dimensional sparse models

Least squares after model selection in high-dimensional sparse models

31 December 2009
A. Belloni
Victor Chernozhukov
ArXivPDFHTML

Papers citing "Least squares after model selection in high-dimensional sparse models"

5 / 5 papers shown
Title
Treatment Effect Estimation with Observational Network Data using Machine Learning
Treatment Effect Estimation with Observational Network Data using Machine Learning
Corinne Emmenegger
Meta-Lina Spohn
Timon Elmer
Peter Buhlmann
CML
119
3
1
20 Jan 2025
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
Jikai Jin
Vasilis Syrgkanis
CML
120
1
0
22 Feb 2024
Taking Advantage of Sparsity in Multi-Task Learning
Taking Advantage of Sparsity in Multi-Task Learning
Karim Lounici
Massimiliano Pontil
Alexandre B. Tsybakov
Sara van de Geer
283
292
0
09 Mar 2009
The sparsity and bias of the Lasso selection in high-dimensional linear
  regression
The sparsity and bias of the Lasso selection in high-dimensional linear regression
Cun-Hui Zhang
Jian Huang
315
869
0
07 Aug 2008
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
456
755
0
04 Apr 2008
1