arXiv stat.ML
· Papers
Chaos Is a LADDER: Domain Generalization Beyond Invariance via Reweighting
arXiv:2607.26458v1 Announce Type: new Abstract: Domain generalization (DG) aims to learn from multiple source domains and generalize to unseen target domains. Most DG methods pursue invariance: they seek a causal representation whose prediction rule is invariant across domains. This principle is effective when the caus