The Good, the Bad, and the Sampled: a No-Regret Approach to Safe Online Classification

Fuente: arXiv

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Bibliographic Details
Main Authors:	Baharav, Tavor Z., Dragazis, Spyros, Pacchiano, Aldo
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Statistics Theory
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2510.01020