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Fast Rates for Online Prediction with Abstention

By Gergely Neu and Nikita Zhivotovskiy
In the setting of sequential prediction of individual \{0, 1\}-sequences with expert advice, we show that by allowing the learner to abstain from the prediction by paying a cost marginally smaller than \frac 12 (say, 0.49), it is possible to achieve expected regret bounds that are independent of the time... Show more
June 20, 2020
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Fast Rates for Online Prediction with Abstention
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