most citedBeyond Shapley Values: Cooperative Games for the Interpretation of Machine Learning Models

1 citations · 1 across the 7 of their papers we have counts for

collaborators
Showing stat.MLShow all

2 papers · 1 filter

stat.ML2026

Fair regression under localized demographic parity constraints

Arthur Charpentier, Christophe Denis, Romuald Elie +2

Demographic parity (DP) is a widely used group fairness criterion requiring predictive distributions to be invariant across sensitive groups. While natural in classification, full…

stat.ML2025★ 1 cited

Beyond Shapley Values: Cooperative Games for the Interpretation of Machine Learning Models

Marouane Il Idrissi, Agathe Fernandes Machado, Arthur Charpentier

Cooperative game theory has become a cornerstone of post-hoc interpretability in machine learning, largely through the use of Shapley values. Yet, despite their widespread adoption…