Ron Wettenstein

2 accepted papers

2026

A Fast and Unified Partial Dependence Plot Algorithm

Ron Wettenstein, Alexander Nadel, Udi Boker

IJCAI 2026

Partial Dependence Plots (PDPs) visualize how changes in a single feature affect the average model prediction. They are widely used in practice to interpret decision tree ensembles and other machine learning models. Joint-PDPs extend this idea to pairs of features, revealing their combined effect. P

Cited by 0 Scholar ↗

2026

From Decision Trees to Boolean Logic: A Fast and Unified SHAP Algorithm

Alexander Nadel, Ron Wettenstein

AAAI 2026technical

SHapley Additive exPlanations (SHAP) is a key tool for interpreting decision tree ensembles by assigning contribution values to features. It is widely used in finance, advertising, medicine, and other domains. Two main approaches to SHAP calculation exist: Path-Dependent SHAP, which leverages the tr

Cited by 0 Source ↗PDF ↗Scholar ↗