2026
Geometric Rate–Distortion Invariance for Domain Generalization
ICML 2026poster
Domain generalization (DG) aims to learn representations that remain predictive under distribution shifts. A key challenge is that the target domain is unobserved during training, which complicates the search for invariant representations: alignment objectives that do not account for the preservatio…