Generalization Bounds in the Predict-then-Optimize Framework

Othman El Balghiti, Adam Elmachtoub, Paul Grigas, Ambuj Tewari

Neural Information Processing Systems 

The predict-then-optimize framework is fundamental in many practical settings: predict the unknown parameters of an optimization problem, and then solve the problem using the predicted values of the parameters.

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