Towards Scalable Meta-Learning of near-optimal Interpretable Models via Synthetic Model Generations.

arXiv:2511.04000v2 Announce Type: replace-cross Abstract: Decision trees are widely used in high-stakes fields like finance and healthcare due to their interpretability. This work introduces an efficient, scalable method for generating synthetic pre-training d