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FAStEN: an efficient adaptive method for feature selection and
  estimation in high-dimensional functional regressions
v1v2 (latest)

FAStEN: an efficient adaptive method for feature selection and estimation in high-dimensional functional regressions

26 March 2023
Tobia Boschi
Lorenzo Testa
Francesca Chiaromonte
M. Reimherr
ArXiv (abs)PDFHTML

Papers citing "FAStEN: an efficient adaptive method for feature selection and estimation in high-dimensional functional regressions"

2 / 2 papers shown
Title
A new computationally efficient algorithm to solve Feature Selection for
  Functional Data Classification in high-dimensional spaces
A new computationally efficient algorithm to solve Feature Selection for Functional Data Classification in high-dimensional spaces
Tobia Boschi
Francesca Bonin
Rodrigo Ordonez-Hurtado
Alessandra Pascale
Jonathan Epperlein
54
4
0
11 Jan 2024
Super-Linear Convergence of Dual Augmented-Lagrangian Algorithm for
  Sparsity Regularized Estimation
Super-Linear Convergence of Dual Augmented-Lagrangian Algorithm for Sparsity Regularized Estimation
Ryota Tomioka
Taiji Suzuki
Masashi Sugiyama
217
84
0
20 Nov 2009
1