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Strongly Adaptive Online Learning
February 25, 2015 · Declared Dead · 🏛 International Conference on Machine Learning
"No code URL or promise found in abstract"
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Authors
Amit Daniely, Alon Gonen, Shai Shalev-Shwartz
arXiv ID
1502.07073
Category
cs.LG: Machine Learning
Citations
191
Venue
International Conference on Machine Learning
Last Checked
3 months ago
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.
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