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math.OC2026
Largest Rashomon sets of decision trees for robust contextual optimization
Lorenzo Bonasera, David Pisinger
Many decision trees fit the same data almost equally well, yet they can route a query point to different leaves and induce different local empirical distributions. We study decisio…
math.OC2024
A Unified Approach to Extract Interpretable Rules from Tree Ensembles via Integer Programming
Lorenzo Bonasera, Emilio Carrizosa
Tree ensembles are very popular machine learning models, known for their effectiveness in supervised classification and regression tasks. Their performance derives from aggregating…