Sébastien Da Veiga

5 papers · 2021–2025 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze

Venues

AISTATS (4) NeurIPS (1)

Top co-authors

Clement Benard (3) Brian Staber (3) Erwan Scornet (2) Josselin Garnier (2) Gérard Biau (2) Raphaël Carpintero Perez (2)

Research topics

Machine Learning (5) Optimization & Theory (4) Artificial Intelligence (3) Bayesian & Probabilistic · Machine Learning (3) Core Methods (3) Core AI (2) Mathematics & Optimization (1) Bayesian & Probabilistic · Artificial Intelligence (1) Learning Types (1) Optimization (1)

Keywords

random forest (2) gaussian process regression (2) uncertainty quantification (1) optimal transport (1) interpretable machine learning (1) feature importance (1) markov chain monte carlo (1) dimension reduction (1) variable importance (1) decision tree (1) graph regression (1) graph kernel (1) graph signal (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)

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 NeurIPS 2023 SHAFF: Fast and consistent SHApley eFfect estimates via random Forests AISTATS 2022 Interpretable Random Forests via Rule Extraction AISTATS 2021