On f-Divergence Principled Domain Adaptation: An Improved Framework
–Neural Information Processing Systems
Unsupervised domain adaptation (UDA) plays a crucial role in addressing distribution shifts in machine learning. In this work, we improve the theoretical foundations of UDA proposed in Acuna et al. (2021) by refining their
Neural Information Processing Systems
Feb-7-2026, 19:33:55 GMT
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