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Papers
Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes
NIPS 2022
Online Agnostic Multiclass Boosting
NIPS 2022
On Robust Multiclass Learnability
NIPS 2022
Contrastive Neural Ratio Estimation
NIPS 2022
Monotone Learning
COLT 2022
Universal consistency and rates of convergence of multiclass prototype algorithms in metric spaces
JMLR 2021
Knowing what You Know: valid and validated confidence sets in multiclass and multilabel prediction
JMLR 2021