arxiv
PublishedJuly 1, 2026 at 4:00 AM
A Unified and Stable Risk Minimization Framework for Weakly Supervised Learning with Theoretical Guarantees
Publisher summary· verbatim
arXiv:2511.22823v2 Announce Type: replace-cross 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
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Originally published on arxiv ↗