1.6k citations · 1.8k across the 18 of their papers we have counts for
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cs.LG2016★ 19 cited
Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning
Wouter M. Koolen, Peter Grünwald, Tim van Erven
We consider online learning algorithms that guarantee worst-case regret rates in adversarial environments (so they can be deployed safely and will perform robustly), yet adapt opti…
cs.LG2016★ 20 cited
MetaGrad: Multiple Learning Rates in Online Learning
Tim van Erven, Wouter M. Koolen
In online convex optimization it is well known that certain subclasses of objective functions are much easier than arbitrary convex functions. We are interested in designing adapti…