Add a paper from NIPS2022

[ZedRover]

A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree

[arulrajan358]

Hi, I came across this paper recently and found the approach really interesting, especially the two-stage optimization and branch-and-bound strategy.
I’ve worked on implementing decision tree optimization and similar ML models. If you're trying to implement this and facing issues (like performance, scalability, or MIP formulation), I’d be happy to help or share a simple implementation approach.