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On cross-validated Lasso in high dimensions

On cross-validated Lasso in high dimensions

7 May 2016
Denis Chetverikov
Z. Liao
Victor Chernozhukov
ArXivPDFHTML

Papers citing "On cross-validated Lasso in high dimensions"

7 / 7 papers shown
Title
Strong Screening Rules for Group-based SLOPE Models
Strong Screening Rules for Group-based SLOPE Models
Fabio Feser
Marina Evangelou
52
1
0
24 May 2024
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
67
1
0
22 Feb 2024
Addressing Dynamic and Sparse Qualitative Data: A Hilbert Space
  Embedding of Categorical Variables
Addressing Dynamic and Sparse Qualitative Data: A Hilbert Space Embedding of Categorical Variables
Anirban Mukherjee
Hannah H. Chang
CML
21
0
0
22 Aug 2023
Synthetic Combinations: A Causal Inference Framework for Combinatorial
  Interventions
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions
Abhineet Agarwal
Anish Agarwal
Suhas Vijaykumar
CML
16
8
0
24 Mar 2023
Uncertainty quantification for sparse Fourier recovery
Uncertainty quantification for sparse Fourier recovery
F. Hoppe
Felix Krahmer
C. M. Verdun
Marion I. Menzel
Holger Rauhut
27
7
0
30 Dec 2022
High-dimensional regression with potential prior information on variable
  importance
High-dimensional regression with potential prior information on variable importance
B. Stokell
Rajen Dinesh Shah
28
0
0
23 Sep 2021
A Survey of Tuning Parameter Selection for High-dimensional Regression
A Survey of Tuning Parameter Selection for High-dimensional Regression
Y. Wu
Lan Wang
39
35
0
10 Aug 2019
1