Robustness of OLS to sample removals: Theoretical analysis and implications

Eyar Azar, Michael J. Feldman, Boaz Nadler

For learned models to be trustworthy, it is essential to verify their robustness to perturbations in the training data. Classical approaches involve uncertainty quantification via…