Fri Aug 21 2015

Machine Learning##### Adaptive Online Learning

###### We propose a general framework for studying adaptive regret bounds in the online learning framework. Given a data- or model-dependent bound we ask, "Does there exist some algorithm achieving this bound?" We show that modifications to recently introduced sequential complexity measures can be used to answer this question.

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