%0 Journal Article
%T Strongly Adaptive Online Learning
%A Amit Daniely
%A Alon Gonen
%A Shai Shalev-Shwartz
%J Computer Science
%D 2015
%I arXiv
%X Strongly adaptive algorithms are algorithms whose performance on every time interval is close to optimal. We present a reduction that can transform standard low-regret algorithms to strongly adaptive. As a consequence, we derive simple, yet efficient, strongly adaptive algorithms for a handful of problems.
%U http://arxiv.org/abs/1502.07073v3