2023
Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism.
ICML 2023oral
Semi-supervised learning is a powerful technique for leveraging unlabeled data to improve machine learning models, but it can be affected by the presence of ``informative" labels, which occur when some classes are more likely to be labeled than others. In the missing data literature, such labels are…