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

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