@inproceedings{14eeecebd9e645608c8352c6b0b930dc,
title = "Strongly adaptive online learning",
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.",
author = "Amit Daniely and Alon Gonen and Shai Shalev-Shwartz",
note = "Publisher Copyright: Copyright {\textcopyright} 2015 by the author(s).; 32nd International Conference on Machine Learning, ICML 2015 ; Conference date: 06-07-2015 Through 11-07-2015",
year = "2015",
language = "الإنجليزيّة",
series = "32nd International Conference on Machine Learning, ICML 2015",
pages = "1405--1411",
editor = "David Blei and Francis Bach",
booktitle = "32nd International Conference on Machine Learning, ICML 2015",
}