2019
Generalization Bounds in the Predict-then-Optimize Framework
NeurIPS 2019poster
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. A natural loss function in this environment is to consider the cost of the decisions indu…