Tag: learnability
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Characterizing Online and Private Learnability under Distributional Constraints via Generalized Smoothness
Characterizing Online and Private Learnability under Distributional Constraints via Generalized Smoothness arXiv:2602.20585v1 Announce Type: new Abstract: Understanding minimal assumptions that enable learning and generalization is perhaps the central question of learning theory. Several celebrated results in statistical learning theory, such as the VC theorem and Littlestone’s characterization of online learnability, establish conditions on the hypothesis…
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A Theory of Optimistically Universal Online Learnability for General Concept Classes
A Theory of Optimistically Universal Online Learnability for General Concept Classes arXiv:2501.08551v1 Announce Type: new Abstract: We provide a full characterization of the concept classes that are optimistically universally online learnable with ${0, 1}$ labels. The notion of optimistically universal online learning was defined in [Hanneke, 2021] in order to understand learnability under minimal assumptions.…