Importance Weight Estimation and Generalization in Domain Adaptation under Label Shift

Kamyar Azizzadenesheli

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arXiv · 2011.14251

Importance Weight Estimation and Generalization in Domain Adaptation under Label Shift

Kamyar Azizzadenesheli

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Abstract

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.

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Kamyar Azizzadenesheli. 2020-11-29. Importance Weight Estimation and Generalization in Domain Adaptation under Label Shift. https://arxiv.org/abs/2011.14251

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