AIBullisharXiv – CS AI · 7h ago6/10
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From Rashomon Theory to PRAXIS: Efficient Decision Tree Rashomon Sets
Researchers introduce PRAXIS, an algorithm that efficiently computes Rashomon sets—collections of near-optimal machine learning models—achieving orders of magnitude improvements in runtime and memory usage compared to existing methods. The breakthrough enables practitioners to scalably explore model diversity and incorporate domain knowledge into decision-making for interpretable models like decision trees.