Objective-Driven Ensembles: Bridging the Gap Between Interpretable Sparsity and Algorithmic Prediction

Anthony Christidis, Stefan Van Aelst, Ruben Zamar

Sparse methods (e.g., Best Subset Selection, Elastic Net) are the standard approach for obtaining interpretable models, but they can suffer from high variance and vulnerability to…