2 papers
cs.LG2026
Smart predict-then-robustly-optimize
Aakil Caunhye, Xuefei Lu, Belen Martin-Barragan
In this paper, we propose and study a robust variant of the smart predict-then-optimize approach that accounts for prediction shifts due to disturbance in the covariate feature spa…
stat.ML2026
Trustworthy Feature Importance Avoids Unrestricted Permutations
Emanuele Borgonovo, Francesco Cappelli, Xuefei Lu +2
Feature importance methods using unrestricted permutations are flawed due to extrapolation errors; such errors appear in all non-trivial variable importance approaches. We propose…