2026
Domain Adaptation with Adaptive $f$-Divergence: Tighter Variational Representation and Generalization Bounds
ICML 2026poster
We study unsupervised domain adaptation (UDA) where measuring cross-domain discrepancy is critical. Most UDA approaches fix a single $f$-divergence a priori, which can be suboptimal across heterogeneous shifts. We propose a framework that (i) tightens the variational lower bound of an $f$-divergence…