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Dirk van der Hoeven
Dirk van der Hoeven
PostDoc, UniversitÓ degli Studi di Milano
Verified email at dirkvanderhoeven.com - Homepage
Title
Cited by
Cited by
Year
User-specified local differential privacy in unconstrained adaptive online learning
D van der Hoeven
Advances in Neural Information Processing Systems 32, 14103-14112, 2019
242019
The many faces of exponential weights in online learning
D van der Hoeven, T van Erven, W Kotłowski
arXiv preprint arXiv:1802.07543, 2018
19*2018
MetaGrad: Adaptation using Multiple Learning Rates in Online Learning
T van Erven, WM Koolen, D van der Hoeven
arXiv preprint arXiv:2102.06622, 2021
62021
Open Problem: Fast and Optimal Online Portfolio Selection
T Van Erven, D Van der Hoeven, W Kotłowski, WM Koolen
Conference on Learning Theory, 3864-3869, 2020
52020
Exploiting the Surrogate Gap in Online Multiclass Classification
D van der Hoeven
Advances in Neural Information Processing Systems 33, 2020
42020
Comparator-Adaptive Convex Bandits
D van der Hoeven, A Cutkosky, H Luo
Advances in Neural Information Processing Systems 33, 2020
42020
Nonstochastic Bandits and Experts with Arm-Dependent Delays
D van der Hoeven, N Cesa-Bianchi
arXiv preprint arXiv:2111.01589, 2021
32021
Is mirror descent a special case of exponential weights
D van der Hoeven, T van Erven
MSC Thesis. Available from: http://pub. math. leidenuniv. nl/~ hoevendvander, 2016
22016
Distributed online learning for joint regret with communication constraints
D Van der Hoeven, H Hadiji, T van Erven
International Conference on Algorithmic Learning Theory, 1003-1042, 2022
12022
Beyond Bandit Feedback in Online Multiclass Classification
D van der Hoeven, F Fusco, N Cesa-Bianchi
Advances in Neural Information Processing Systems 34, 2021
12021
A Regret-Variance Trade-Off in Online Learning
D van der Hoeven, N Zhivotovskiy, N Cesa-Bianchi
arXiv preprint arXiv:2206.02656, 2022
2022
A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs
C Rouyer, D van der Hoeven, N Cesa-Bianchi, Y Seldin
arXiv preprint arXiv:2206.00557, 2022
2022
The many faces of online learning
D Hoeven
Leiden University, 2021
2021
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