Dirk van der Hoeven
Dirk van der Hoeven
PostDoc, Universitą 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
132019
The many faces of exponential weights in online learning
D van der Hoeven, T van Erven, W Kotłowski
arXiv preprint arXiv:1802.07543, 2018
11*2018
Exploiting the Surrogate Gap in Online Multiclass Classification
D van der Hoeven
Advances in Neural Information Processing Systems 33, 2020
32020
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
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
12020
Comparator-Adaptive Convex Bandits
D van der Hoeven, A Cutkosky, H Luo
Advances in Neural Information Processing Systems 33, 2020
12020
Beyond Bandit Feedback in Online Multiclass Classification
D van der Hoeven, F Fusco, N Cesa-Bianchi
arXiv preprint arXiv:2106.03596, 2021
2021
The many faces of online learning
D Hoeven
Leiden University, 2021
2021
Distributed Online Learning for Joint Regret with Communication Constraints
D van der Hoeven, H Hadiji, T van Erven
arXiv preprint arXiv:2102.07521, 2021
2021
MetaGrad: Adaptation using Multiple Learning Rates in Online Learning
T van Erven, WM Koolen, D van der Hoeven
arXiv preprint arXiv:2102.06622, 2021
2021
User-specified local differential privacy in unconstrained adaptive online learning
D Hoeven
Proceedings of the 33rd International Conference on Neural Information …, 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–11