2 papers
cs.LG2026
Double Descent in Gradient Boosting Decision Trees via Split-Candidate Scaling
Ryuichi Kanoh
Double descent is commonly studied by scaling an explicit capacity parameter, such as neural-network width. For gradient boosting decision trees (GBDTs), however, an analogous sing…
cs.LG2025
Linear Mode Connectivity in Differentiable Tree Ensembles
Ryuichi Kanoh, Mahito Sugiyama
Linear Mode Connectivity (LMC) refers to the phenomenon that performance remains consistent for linearly interpolated models in the parameter space. For independently optimized mod…