2024
Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation
ICLR 2024poster
Learning from Label Proportions (LLP) is a learning problem where only aggregate level labels are available for groups of instances, called bags, during training, and the aim is to get the best performance at the instance-level on the test data. This setting arises in domains like advertising and me…