Katharine M. Donato

collaborators

2 papers

stat.ML2024

Proximal Iteration for Nonlinear Adaptive Lasso

Nathan Wycoff, Lisa O. Singh, Ali Arab +1

Augmenting a smooth cost function with an $ℓ_{1}$ penalty allows analysts to efficiently conduct estimation and variable selection simultaneously in sophisticated models and can b…

stat.ME2022

Sparse Bayesian Lasso via a Variable-Coefficient $ℓ_{1}$ Penalty

Nathan Wycoff, Ali Arab, Katharine M. Donato +1

Modern statistical learning algorithms are capable of amazing flexibility, but struggle with interpretability. One possible solution is sparsity: making inference such that many of…

Proximal Iteration for Nonlinear Adaptive Lasso

Sparse Bayesian Lasso via a Variable-Coefficient ℓ1​ Penalty

Sparse Bayesian Lasso via a Variable-Coefficient $ℓ_{1}$ Penalty