Clément Bénard

According to our database, Clément Bénard authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

MMD-based Variable Importance for Distributional Random Forest.

Clément Bénard, Jeffrey Näf, Julie Josse

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization.

Clément Bénard, Brian Staber, Sébastien Da Veiga

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

SHAFF: Fast and consistent SHApley eFfect estimates via random Forests.

Clément Bénard, Gérard Biau, Sébastien Da Veiga, Erwan Scornet

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Forêts aléatoires et interprétabilité des algorithmes d'apprentissage. (Random forests and interpretability of learning algorithms).

Clément Bénard

PhD thesis, 2021

MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA.

Clément Bénard, Sébastien Da Veiga, Erwan Scornet

CoRR, 2021

Interpretable Random Forests via Rule Extraction.

Clément Bénard, Gérard Biau, Sébastien Da Veiga, Erwan Scornet

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2019

SIRUS: making random forests interpretable.

Clément Bénard, Gérard Biau, Sébastien Da Veiga, Erwan Scornet

CoRR, 2019