Bénard, Clément

5 publications

NeurIPS 2025 Tree Ensemble Explainability Through the Hoeffding Functional Decomposition and TreeHFD Algorithm Clement Benard

AISTATS 2024 MMD-Based Variable Importance for Distributional Random Forest Clément Bénard, Jeffrey Näf, Julie Josse

NeurIPS 2023 Kernel Stein Discrepancy Thinning: A Theoretical Perspective of Pathologies and a Practical Fix with Regularization Clement Benard, Brian Staber, Sébastien Da Veiga

AISTATS 2022 SHAFF: Fast and Consistent SHApley eFfect Estimates via Random Forests Clément Bénard, Gérard Biau, Sébastien Da Veiga, Erwan Scornet

AISTATS 2021 Interpretable Random Forests via Rule Extraction Clément Bénard, Gérard Biau, Sébastien Veiga, Erwan Scornet