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Elastic Net Regularization Paths for All Generalized Linear Models

Elastic Net Regularization Paths for All Generalized Linear Models

J. K. Tay
B. Narasimhan
Trevor Hastie
ArXiv (abs)PDFHTML

Papers citing "Elastic Net Regularization Paths for All Generalized Linear Models"

16 / 16 papers shown
Title
AI-based modular warning machine for risk identification in proximity healthcare
AI-based modular warning machine for risk identification in proximity healthcare
Chiara Razzetta
Shahryar Noei
Federico Barbarossa
Edoardo Spairani
Monica Roascio
...
A. Massone
F. Benvenuto
Giuseppe Jurman
Diego Sona
C. Campi
5
0
0
13 Jun 2025
A Taxonomy of Stereotype Content in Large Language Models
A Taxonomy of Stereotype Content in Large Language Models
Gandalf Nicolas
Aylin Caliskan
71
2
0
31 Jul 2024
Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction
Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction
Undral Byambadalai
Tatsushi Oka
Shota Yasui
CML
70
3
0
22 Jul 2024
Online Distributional Regression
Online Distributional Regression
Simon Hirsch
Jonathan Berrisch
F. Ziel
57
0
0
26 Jun 2024
Long-term foehn reconstruction combining unsupervised and supervised learning
Long-term foehn reconstruction combining unsupervised and supervised learning
R. Stauffer
A. Zeileis
G. Mayr
21
0
0
03 Jun 2024
Estimating conditional hazard functions and densities with the highly-adaptive lasso
Estimating conditional hazard functions and densities with the highly-adaptive lasso
Anders Munch
Thomas A. Gerds
Mark J. van der Laan
H. Rytgaard
34
2
0
17 Apr 2024
Impact of Extensions on Browser Performance: An Empirical Study on Google Chrome
Impact of Extensions on Browser Performance: An Empirical Study on Google Chrome
Bihui Jin
Heng Li
Ying Zou
22
2
0
10 Apr 2024
Polynomial Graphical Lasso: Learning Edges from Gaussian Graph-Stationary Signals
Polynomial Graphical Lasso: Learning Edges from Gaussian Graph-Stationary Signals
Andrei Buciulea
Jiaxi Ying
Antonio G. Marques
Daniel P. Palomar
77
6
0
03 Apr 2024
Efficient first-order algorithms for large-scale, non-smooth maximum entropy models with application to wildfire science
Efficient first-order algorithms for large-scale, non-smooth maximum entropy models with application to wildfire science
G. P. Langlois
Jatan Buch
Jérome Darbon
65
1
0
11 Mar 2024
CausalMetaR: An R package for performing causally interpretable meta-analyses
CausalMetaR: An R package for performing causally interpretable meta-analyses
Guanbo Wang
Sean McGrath
Yi Lian
CML
75
1
0
06 Feb 2024
A review of regularised estimation methods and cross-validation in spatiotemporal statistics
A review of regularised estimation methods and cross-validation in spatiotemporal statistics
Philipp Otto
A. Fassò
Paolo Maranzano
65
1
0
31 Jan 2024
A Weibull Mixture Cure Frailty Model for High-dimensional Covariates
A Weibull Mixture Cure Frailty Model for High-dimensional Covariates
Fatih Kizilaslan
David Michael Swanson
Valeria Vitelli
26
0
0
12 Jan 2024
Correlation and Unintended Biases on Univariate and Multivariate Decision Trees
Correlation and Unintended Biases on Univariate and Multivariate Decision Trees
Mattia Setzu
Salvatore Ruggieri
30
1
0
04 Dec 2023
fairml: A Statistician's Take on Fair Machine Learning Modelling
fairml: A Statistician's Take on Fair Machine Learning Modelling
M. Scutari
FaML
86
5
0
03 May 2023
Efficient and robust high-dimensional sparse logistic regression via nonlinear primal-dual hybrid gradient algorithms
Efficient and robust high-dimensional sparse logistic regression via nonlinear primal-dual hybrid gradient algorithms
Jérome Darbon
G. P. Langlois
27
1
0
30 Nov 2021
Robust adaptive Lasso in high-dimensional logistic regression
Robust adaptive Lasso in high-dimensional logistic regression
A. Basu
A. Ghosh
M. Jaenada
Leandro Pardo
16
5
0
20 Aug 2021