A direct approach to tree-guided feature aggregation for high-dimensional regression

Jinwen Fu, Aaron J. Molstad, Hui Zou

In high-dimensional linear models, sparsity is often exploited to reduce variability and achieve parsimony. Equi-sparsity, where one assumes that predictors can be aggregated into…