Preprint
Aug 2026
Statistical Properties of Robust Learning under Distributional Shifts
Finite-sample generalization error bounds in the shifted target environment for both DRO and RS are derived, which fill a gap in understanding the statistical properties of robust learning methods under distributional shifts and provide a principled basis for comparing DRO and RS.
Zhiyi Li, Xiaojie Mao, Yun-Bei Xu et al.
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