Elastic Net Regularization Paths for All Generalized Linear Models

5 March 2021

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 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 Gandalf Nicolas Aylin Caliskan 63 2 0 31 Jul 2024
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 Simon Hirsch Jonathan Berrisch F. Ziel 57 0 0 26 Jun 2024
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 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 Bihui Jin Heng Li Ying Zou 18 2 0 10 Apr 2024
Polynomial Graphical Lasso: Learning Edges from Gaussian Graph-Stationary Signals Andrei Buciulea Jiaxi Ying Antonio G. Marques Daniel P. Palomar 72 6 0 03 Apr 2024
Efficient first-order algorithms for large-scale, non-smooth maximum entropy models with application to wildfire science G. P. Langlois Jatan Buch Jérome Darbon 63 1 0 11 Mar 2024
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 Philipp Otto A. Fassò Paolo Maranzano 65 1 0 31 Jan 2024
A Weibull Mixture Cure Frailty Model for High-dimensional Covariates Fatih Kizilaslan David Michael Swanson Valeria Vitelli 24 0 0 12 Jan 2024
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 M. Scutari FaML 86 5 0 03 May 2023
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 A. Basu A. Ghosh M. Jaenada Leandro Pardo 16 5 0 20 Aug 2021