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Clement Benard

2 accepted papers

2025

Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm

NeurIPS 2025poster

Tree ensembles have demonstrated state-of-the-art predictive performance across a wide range of problems involving tabular data. Nevertheless, the black-box nature of tree ensembles is a strong limitation, especially for applications with critical decisions at stake. The Hoeffding or ANOVA functiona…

Cited by 0SourcecodeScholar
2023

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

NeurIPS 2023poster

Stein thinning is a promising algorithm proposed by (Riabiz et al., 2022) for post-processing outputs of Markov chain Monte Carlo (MCMC). The main principle is to greedily minimize the kernelized Stein discrepancy (KSD), which only requires the gradient of the log-target distribution, and is thus we…