3 papers
stat.ML2025
Formal Bayesian Transfer Learning via the Total Risk Prior
Nathan Wycoff, Ali Arab, Lisa O. Singh
Existing methods for transfer learning struggle to deal with situations where the source datasets are limited and not guaranteed to be well-aligned with the target dataset. A typic…
stat.ML2024
Proximal Iteration for Nonlinear Adaptive Lasso
Nathan Wycoff, Lisa O. Singh, Ali Arab +1
Augmenting a smooth cost function with an 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 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…