Modeling posterior drift as a low-dimensional geometric transformation of the Bayes decision boundary yields a transfer-learning classifier with rates depending on the transform dimension.
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Transfer Learning for Classification under Decision Rule Drift with Application to Optimal Individualized Treatment Rule Estimation
Modeling posterior drift as a low-dimensional geometric transformation of the Bayes decision boundary yields a transfer-learning classifier with rates depending on the transform dimension.