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stat.ML2023
Adversarial Contextual Bandits Go Kernelized
Gergely Neu, Julia Olkhovskaya, Sattar Vakili
We study a generalization of the problem of online learning in adversarial linear contextual bandits by incorporating loss functions that belong to a reproducing kernel Hilbert spa…
stat.ML2023★ 3 cited
Online-to-PAC Conversions: Generalization Bounds via Regret Analysis
Gábor Lugosi, Gergely Neu
We present a new framework for deriving bounds on the generalization bound of statistical learning algorithms from the perspective of online learning. Specifically, we construct an…