GeneralizationGuaranteeofSGDforPairwise Learning
–Neural Information Processing Systems
Representative problems include AUC maximization [14, 25, 42, 63, 66], metric learning [8, 31], ranking [1, 13] and learning with minimum error entropy loss functions [29]. For example, in supervised metric learning we wish to find a distance function between pairs of examples so that examples within the same class are relatively close while examples from different classes are far apartfromeachother.
Neural Information Processing Systems
Feb-10-2026, 18:14:44 GMT