Clément Bénard

According to our database1, Clément Bénard authored at least 7 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
MMD-based Variable Importance for Distributional Random Forest.
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.
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.
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).
PhD thesis, 2021

MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA.
CoRR, 2021

Interpretable Random Forests via Rule Extraction.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2019
SIRUS: making random forests interpretable.
CoRR, 2019


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