Adaptivity and Optimality: A Universal Algorithm for Online Convex Optimization

15 May 2019Guanghui WangShiyin LuLijun Zhang

In this paper, we study adaptive online convex optimization, and aim to design a universal algorithm that achieves optimal regret bounds for multiple common types of loss functions. Existing universal methods are limited in the sense that they are optimal for only a subclass of loss functions... (read more)

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