2 papers
stat.ML2025
Prior shift estimation for positive unlabeled data through the lens of kernel embedding
Jan Mielniczuk, Wojciech Rejchel, Paweł Teisseyre
We study estimation of a class prior for unlabeled target samples which possibly differs from that of source population. Moreover, it is assumed that the source data is partially o…
stat.ML2023
Joint empirical risk minimization for instance-dependent positive-unlabeled data
Wojciech Rejchel, Paweł Teisseyre, Jan Mielniczuk
Learning from positive and unlabeled data (PU learning) is actively researched machine learning task. The goal is to train a binary classification model based on a training dataset…