Clement Benard
4 papers · 2021–2024 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Hot Topic Early Bird
Venues
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Keywords
variable importance
(2)
random forest
(2)
interpretable machine learning
(1)
feature importance
(1)
markov chain monte carlo
(1)
maximum mean discrepancy
(1)
conditional distribution
(1)
decision tree
(1)
distributional random forest
(1)
mmd distance
(1)
recursive feature elimination
(1)
rule extraction
(1)
kernel stein discrepancy
(1)
rule set
(1)
shapley effect
(1)
bayesian inference
(1)
stein thinning
(1)
feature selection
(1)
Papers
MMD-based Variable Importance for Distributional Random Forest
AISTATS 2024
Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization
NeurIPS 2023
SHAFF: Fast and consistent SHApley eFfect estimates via random Forests
AISTATS 2022
Interpretable Random Forests via Rule Extraction
AISTATS 2021