Parameter-Free Online Learning via Model Selection

Dylan J. Foster, Satyen Kale, Mehryar Mohri, Karthik Sridharan

Neural Information Processing Systems 

Finally, we generalize these results by providing oracle inequalities for arbitrary non-linear classes in the online supervised learning model. These results are all derived through a unified meta-algorithm scheme using a novel "multi-scale" algorithm for prediction with expert advice based on random playout, which may be of

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