ICML 2015Poster
Strongly Adaptive Online Learning
Authors: Amit Daniely, Alon Gonen, Shai Shalev-Shwartz
Abstract
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.