4 citations · 4 across the 2 of their papers we have counts for
3 papers
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…
cs.CV2026★ 4 cited
The Role of Noisy Data in Improving CNN Robustness for Image Classification
Oscar H. Ramírez-Agudelo, Nicoleta Gorea, Aliza Reif +2
Data quality plays a central role in the performance and robustness of convolutional neural networks (CNNs) for image classification. While high-quality data is often preferred for…
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…