A restarting-based nonparametric online learning method for dynamic pricing with one-point revenue feedback that achieves regret bounds scaling with time horizon and total market variation.
Proceedings of the 31st Conference On Learning Theory , pages =
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Nonparametric Learning and Earning with One-Point Feedback under Nonstationarity
A restarting-based nonparametric online learning method for dynamic pricing with one-point revenue feedback that achieves regret bounds scaling with time horizon and total market variation.