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

Chenxuanyin Zou, Jiayang Ren, Qiangqiang Mao +3

Despite the importance for interpretability, decision trees face severe scalability challenges. Existing global optimal methods are often limited by binary feature selection and sh…