We study generalization under labeled shift for categorical and general normed label spaces. We propose a series of methods to estimate the importance weights from labeled source to unlabeled target domain and provide confidence bounds for these estimators. We deploy these estimators and provide generalization bounds in the unlabeled target domain.

翻译：我们研究在标签的转换下对绝对和一般规范标签空间进行概括化研究,我们提出了一系列方法来估计从标签来源到未标签目标域的重要性,并为这些估计者提供信任界限。我们部署这些估计者,并在无标签目标域提供一般化界限。