Distributionally Robust Post-hoc Classifiers under Prior Shifts

Jiaheng Wei, Harikrishna Narasimhan, Ehsan Amid +3

The generalization ability of machine learning models degrades significantly when the test distribution shifts away from the training distribution. We investigate the problem of tr…