AI RESEARCH
From Rashomon Theory to PRAXIS: Efficient Decision Tree Rashomon Sets
arXiv CS.AI
•
ArXi:2606.00202v1 Announce Type: cross Standard machine learning pipelines often admit many near-optimal models. These "Rashomon sets" pose a range of challenges and opportunities for uncertainty-aware, robust decision making. They allow users to incorporate domain knowledge and preferences that would otherwise be difficult to specify directly in an objective, and they quantify diversity among valid models for a given