arXiv cs.LG
· Papers
A Unified and Stable Risk Minimization Framework for Weakly Supervised Learning with Theoretical Guarantees
arXiv:2511.22823v2 Announce Type: replace Abstract: Weakly supervised learning has emerged as a practical alternative to fully supervised learning when complete and accurate labels are costly or infeasible to acquire. However, many existing methods are tailored to specific supervision patterns -- such as positive-unlab