2023
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
ICLR 2023top-25%
Recent empirical studies on domain generalization (DG) have shown that DG algorithms that perform well on some distribution shifts fail on others, and no state-of-the-art DG algorithm performs consistently well on all shifts. Moreover, real-world data often has multiple distribution shifts over diff…