H-Consistency Bounds: Characterization and Extensions
–Neural Information Processing Systems
These are upper bounds on the zero-one estimation error of any predictor in a hypothesis set, expressed in terms of its surrogate loss estimation error.
Neural Information Processing Systems
Feb-7-2026, 20:35:00 GMT