A Moving-Horizon Approximate Branch-and-Reduce Method for Deep Classification Trees.

arXiv:2609.38194v1 Announce Type: cross Abstract: Despite the importance for interpretability, decision trees face severe scalability challenges. Existing global optimal methods are often limited by binary feature selection and shallow tree depths, whereas tra