A novel kernel embedding-based direct estimator for class prior in PU learning with prior shift, including consistency and deviation bounds.
In: Advances in Neural Information Processing Systems
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Prior shift estimation for positive unlabeled data through the lens of kernel embedding
A novel kernel embedding-based direct estimator for class prior in PU learning with prior shift, including consistency and deviation bounds.