A comprehensive tutorial that synthesizes how mixed-integer optimization can encode interpretability, robustness, and fairness constraints into machine learning models.
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society , 177–187
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Responsible Machine Learning via Mixed-Integer Optimization
A comprehensive tutorial that synthesizes how mixed-integer optimization can encode interpretability, robustness, and fairness constraints into machine learning models.