Hui Zou

Overview

Hui Zou is a statistician (University of Minnesota), known for high-dimensional regularization methods — the elastic net, the adaptive lasso, and sparse/robust learning.

Key Contributions / Features

• Elastic net (Zou-Hastie 2005): with Hastie, the $\ell_1+\ell_2$ penalized-regression method.
• Adaptive lasso (Zou 2006): data-driven weights giving oracle variable-selection consistency; sparse principal components and other penalized methods.

Related

• Lasso
• Zou-Hastie (2005) Regularization and Variable Selection via the Elastic Net
• Trevor Hastie