3 papers
stat.ME2026
Semiparametric Inference for Conditional Shapley Feature Importance
Agostino Gnasso
Shapley values are widely used for post-hoc feature attribution, but most estimators return point quantities and do not quantify uncertainty, and popular implementations sample out…
cs.LG2026
A Family of Divergence Measures for Evaluating the Reconstruction Quality of Explainable Ensemble Trees
Massimo Aria, Agostino Gnasso, Carmela Iorio
Validating interpretable surrogate models for ensemble learners requires measuring agreement between the ensemble's internal representation and its surrogate approximation, rather…
cs.LG2024
Extending Explainable Ensemble Trees (E2Tree) to regression contexts
Massimo Aria, Agostino Gnasso, Carmela Iorio +1
Ensemble methods such as random forests have transformed the landscape of supervised learning, offering highly accurate prediction through the aggregation of multiple weak learners…