Interests

Here you can find a (non-exhaustive) list of my research interests in random order:
  • Online Learning
  • Adaptive Methods in Online Learning
  • Adaptive Methods for Bandit Problems

Publications

MetaGrad: Adaptation using Multiple Learning Rates in Online Learning.
T. van Erven, W.M. Koolen, and D. van der Hoeven. 2021. Journal of Machine Learning Research 22(161) pp. 1-61
Distributed Online Learning for Joint Regret with Communication Constraints.
D. van der Hoeven, H├ędi Hadiji, and T. van Erven. Preprint 2021.
Exploiting the Surrogate Gap in Online Multiclass Classification.
D. van der Hoeven. Advances in Neural Information Processing Systems 2020.
Poster. Presentation. Mug.
Comparator Adaptive Convex Bandits.
D. van der Hoeven, A. Cutkosky, and H. Luo. Advances in Neural Information Processing Systems 2020.
Poster.
Open Problem: Fast and optimal portfolio selection.
T. van Erven, D. van der Hoeven, W. Kotłowski, W.M. Koolen. Proceedings of the 33rd Conference on Learning Theory (COLT), pp. 3864-3869, 2020.
User-Specified Local Differential Privacy in Unconstrained Adaptive Online Learning
D. van der Hoeven. Advances in Neural Information Processing Systems, 2019. Poster.
The Many Faces of Exponential Weights in Online Learning
D. van der Hoeven, T. van Erven and W. Kotłowski. Proceedings of the 31st Conference on Learning Theory (COLT), pp. 2067-2092, 2018. Poster. Short presentation. Long presentation.