1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ML2026
Parallel gradient boosting for flexible estimation of conditional distributions
Rémy Chapelle, Nicolas Vayatis, Bruno Falissard +1
Boosting is one of the most successful learning techniques for standard classification and regression tasks. Its extension to multi-output prediction problems has found an increasi…
stat.ML2023★ 1 cited
Statistical properties and privacy guarantees of an original distance-based fully synthetic data generation method
Rémy Chapelle, Bruno Falissard
Introduction: The amount of data generated by original research is growing exponentially. Publicly releasing them is recommended to comply with the Open Science principles. However…