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stat.ME2026
Renet: Principled and Efficient Relaxation for the Elastic Net via Dynamic Objective Selection
Albert Dorador
We introduce Renet, a principled generalization of the Relaxed Lasso to the Elastic Net family of estimators. While, on the one hand, -regularization is a standard tool for…
stat.ME2025
TRUST: Transparent, Robust and Ultra-Sparse Trees
Albert Dorador
Piecewise-constant regression trees remain popular for their interpretability, yet often lag behind black-box models like Random Forest in predictive accuracy. In this work, we int…