Interests
Some of my research interests:
- Online learning
- Adaptive Methods in online learning
- Uncertainty in online learning
Publications
A Regret-Variance Trade-Off in Online Learning.
D. van der Hoeven, N. Zhivotovskiy, Nicolò Cesa-Bianchi. To appear at Neurips 2022.
D. van der Hoeven, N. Zhivotovskiy, Nicolò Cesa-Bianchi. To appear at Neurips 2022.
A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs.
C. Rouyer, D. van der Hoeven, Nicolò Cesa-Bianchi, and Y. Seldin. To appear at Neurips 2022.
C. Rouyer, D. van der Hoeven, Nicolò Cesa-Bianchi, and Y. Seldin. To appear at Neurips 2022.
Learning on the Edge: Online Learning with Stochastic Feedback Graphs.
E. Esposito, F. Fusco, D van der Hoeven, and Nicolò Cesa-Bianchi. To appear at Neurips 2022.
E. Esposito, F. Fusco, D van der Hoeven, and Nicolò Cesa-Bianchi. To appear at Neurips 2022.
Nonstochastic Bandits and Experts with Arm-Dependent Delays.
D. van der Hoeven and Nicolò Cesa-Bianchi. Oral presentation at AISTATS 2022.
D. van der Hoeven and Nicolò Cesa-Bianchi. Oral presentation at AISTATS 2022.
Beyond Bandit Feedback in Online Multiclass Classification.
D. van der Hoeven, F. Fusco, and Nicolò Cesa-Bianchi. Advances in Neural Information Processing Systems, 2021 Sweater and Mug.
D. van der Hoeven, F. Fusco, and Nicolò Cesa-Bianchi. Advances in Neural Information Processing Systems, 2021 Sweater and Mug.
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
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, Hédi Hadiji, and T. van Erven. accepted to ALT 2022.
D. van der Hoeven, Hédi Hadiji, and T. van Erven. accepted to ALT 2022.
Exploiting the Surrogate Gap in Online Multiclass Classification.
D. van der Hoeven. Advances in Neural Information Processing Systems 2020. Poster. Presentation. Mug.
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.
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.
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.
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.
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.