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stat.ML2023
Class Probability Matching Using Kernel Methods for Label Shift Adaptation
Hongwei Wen, Annika Betken, Hanyuan Hang
In domain adaptation, covariate shift and label shift problems are two distinct and complementary tasks. In covariate shift adaptation where the differences in data distribution ar…
stat.ML2023
Bagged Regularized -Distances for Anomaly Detection
Yuchao Cai, Hanfang Yang, Yuheng Ma +1
We consider the paradigm of unsupervised anomaly detection, which involves the identification of anomalies within a dataset in the absence of labeled examples. Though distance-base…