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• 论文公开站arXiv2026年10月6日 10:14

  Private online learning and prediction for Littlestone classes

  We study mistake bounds for differentially private online learning and online prediction under oblivious realisable adversaries. Online learning requires the learner to release a hypothesis at each time step whereas in online prediction, the learner only needs to make predictions

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