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cs.LG2022
Constraint Learning to Define Trust Regions in Predictive-Model Embedded Optimization
Chenbo Shi, Mohsen Emadikhiav, Leonardo Lozano +1
There is a recent proliferation of research on the integration of machine learning and optimization. One expansive area within this research stream is predictive-model embedded opt…
cs.LG2021
Optimizing over an ensemble of neural networks
Keliang Wang, Leonardo Lozano, Carlos Cardonha +1
We study optimization problems where the objective function is modeled through feedforward neural networks with rectified linear unit (ReLU) activation. Recent literature has explo…