2 papers
stat.ML2025
An RKHS Perspective on Tree Ensembles
Mehdi Dagdoug, Clement Dombry, Jean-Jil Duchamps
Random Forests and Gradient Boosting are among the most effective algorithms for supervised learning on tabular data. Both belong to the class of tree-based ensemble methods, where…
math.ST2025
Infinite random forests for imbalanced classification tasks
Moria Mayala, Olivier Wintenberger, Charles Tillier +1
We study predictive probability inference in classification tasks using random forests under class imbalance. We focus on two simplified variants of Breiman's algorithm, namely sub…