Quantile inverse optimization trims a fraction of noisy observations to infer linear objective functions that are both inverse-stable and forward-stable.
Proceedings of the 34th International Conference on Machine Learning (ICML 2017), volume 70, 400--410
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Quantile Inverse Optimization: Improving Stability in Inverse Linear Programming
Quantile inverse optimization trims a fraction of noisy observations to infer linear objective functions that are both inverse-stable and forward-stable.