63 citations · 75 across the 16 of their papers we have counts for
4 papers · 1 filter
Nonstochastic Bandits and Experts with Arm-Dependent Delays
Dirk van der Hoeven, Nicolò Cesa-Bianchi
We study nonstochastic bandits and experts in a delayed setting where delays depend on both time and arms. While the setting in which delays only depend on time has been extensivel…
Beyond Bandit Feedback in Online Multiclass Classification
Dirk van der Hoeven, Federico Fusco, Nicolò Cesa-Bianchi
We study the problem of online multiclass classification in a setting where the learner's feedback is determined by an arbitrary directed graph. While including bandit feedback as…
Distributed Online Learning for Joint Regret with Communication Constraints
Dirk van der Hoeven, Hédi Hadiji, Tim van Erven
We consider distributed online learning for joint regret with communication constraints. In this setting, there are multiple agents that are connected in a graph. Each round, an ad…
MetaGrad: Adaptation using Multiple Learning Rates in Online Learning
Tim van Erven, Wouter M. Koolen, Dirk van der Hoeven
We provide a new adaptive method for online convex optimization, MetaGrad, that is robust to general convex losses but achieves faster rates for a broad class of special functions,…