Dirk van der Hoeven

According to our database, Dirk van der Hoeven authored at least 17 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

High-Probability Risk Bounds via Sequential Predictors.

Dirk van der Hoeven, Nikita Zhivotovskiy, Nicolò Cesa-Bianchi

CoRR, 2023

Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts.

Dirk van der Hoeven, Ciara Pike-Burke, Hao Qiu, Nicolò Cesa-Bianchi

Proceedings of the International Conference on Machine Learning, 2023

Delayed Bandits: When Do Intermediate Observations Help?

Emmanuel Esposito, Saeed Masoudian, Hao Qiu, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin

Proceedings of the International Conference on Machine Learning, 2023

A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs.

Dirk van der Hoeven, Lukas Zierahn, Tal Lancewicki, Aviv Rosenberg, Nicolò Cesa-Bianchi

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Nonstochastic Contextual Combinatorial Bandits.

Lukas Zierahn, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Gergely Neu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs.

Chloé Rouyer, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Regret-Variance Trade-Off in Online Learning.

Dirk van der Hoeven, Nikita Zhivotovskiy, Nicolò Cesa-Bianchi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning on the Edge: Online Learning with Stochastic Feedback Graphs.

Emmanuel Esposito, Federico Fusco, Dirk van der Hoeven, Nicolò Cesa-Bianchi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Distributed Online Learning for Joint Regret with Communication Constraints.

Dirk van der Hoeven, Hédi Hadiji, Tim van Erven

Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

Nonstochastic Bandits and Experts with Arm-Dependent Delays.

Dirk van der Hoeven, Nicolò Cesa-Bianchi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

MetaGrad: Adaptation using Multiple Learning Rates in Online Learning.

Tim van Erven, Wouter M. Koolen, Dirk van der Hoeven

J. Mach. Learn. Res., 2021

Beyond Bandit Feedback in Online Multiclass Classification.

Dirk van der Hoeven, Federico Fusco, Nicolò Cesa-Bianchi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Comparator-Adaptive Convex Bandits.

Dirk van der Hoeven, Ashok Cutkosky, Haipeng Luo

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Exploiting the Surrogate Gap in Online Multiclass Classification.

Dirk van der Hoeven

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Open Problem: Fast and Optimal Online Portfolio Selection.

Tim van Erven, Dirk van der Hoeven, Wojciech Kotlowski, Wouter M. Koolen

Proceedings of the Conference on Learning Theory, 2020

2019

User-Specified Local Differential Privacy in Unconstrained Adaptive Online Learning.

Dirk van der Hoeven

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

The Many Faces of Exponential Weights in Online Learning.

Dirk van der Hoeven, Tim van Erven, Wojciech Kotlowski

Proceedings of the Conference On Learning Theory, 2018