Automatic Debiased Learning from Positive, Unlabeled, and Exposure Data

no code implementations • 8 Mar 2023 • Masahiro Kato, Shuting Wu, Kodai Kureishi, Shota Yasui

Therefore, the positive labels that we observe are a combination of both the exposure and the labeling, which creates a selection bias problem for the observed positive samples.

Binary Classification Recommendation Systems +1