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integer linear programming 1interpretable models 1net benefit optimization 1risk scoring 1sparse modeling 1

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20242026
most citedAlleviating Hyperparameter-Tuning Burden in SVM Classifiers for Pulmonary Nodules Diagnosis with Multi-Task Bayesian Optimization

2 citations · 2 across the 4 of their papers we have counts for

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cs.LG2026

Learning an Interpretable Risk Scoring System for Maximizing Decision Net Benefit

Wenhao Chi, Ş. İlker Birbil

The paper introduces an interpretable risk scoring system that directly maximizes decision net benefit by formulating the problem as a sparse integer linear program, and shows it m…