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math.OC2026
Generating Input Distributions for Explaining Portfolio Optimization Pipelines
Batuhan Ataş, Nurşen Aydın, E. Mehmet Kıral +1
We propose a predict-optimize-explain framework that uses gradient-based sample generation to interpret various portfolio models by identifying macroeconomic conditions that induce…
math.OC2026
Explainable Optimization: A Call for Interdisciplinary Action
Nurşen Aydın, Ş. İlker Birbil, İlker Küçükparlak +1
Operations research and management science models support decisions that affect patients, workers, citizens, and public institutions. Decision-makers, such as clinicians approving…