Pretraining and the Lasso

Lasso
penalized regression
High-dimensional regression
transfer learning
We study the use of pretraining data to improve lasso regression, providing theoretical and empirical results on when and how auxiliary data can boost prediction and variable selection.
Authors

Erin Craig

Mert Pilanci

Thomas Le Menestrel

Balasubramanian Narasimhan

Manuel A. Rivas

Stein-Erik Gullaksen

Roozbeh Dehghannasiri

Julia Salzman

Jonathan Taylor

Robert Tibshirani

Published

August 1, 2025