Sébastien Da Veiga
5 papers · 2021–2025 · 2 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌍 Conference Polyglot (2) 🐝 Cross-Pollinator (9) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (12)
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Unstoppable
(5)
Conferences
AISTATS (4)
NIPS (1)
Top co-authors
Keywords
random forest
(2)
interpretable machine learning
(1)
feature importance
(1)
markov chain monte carlo
(1)
gaussian process regression
(1)
variable importance
(1)
decision tree
(1)
graph regression
(1)
graph kernel
(1)
rule extraction
(1)
sliced wasserstein
(1)
weisfeiler-lehman graph kernel
(1)
computational physics
(1)
positive definiteness
(1)
kernel stein discrepancy
(1)
rule set
(1)
shapley effect
(1)
bayesian inference
(1)
stein thinning
(1)
Papers
Learning signals defined on graphs with optimal transport and Gaussian process regression
AISTATS 2025
Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels
AISTATS 2024
Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization
NIPS 2023
SHAFF: Fast and consistent SHApley eFfect estimates via random Forests
AISTATS 2022
Interpretable Random Forests via Rule Extraction
AISTATS 2021