Articles by Dirk Van Der Hoeven | Synthical

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13

Online Newton Method for Bandit Convex Optimisation

10 June 2024 by Hidde Fokkema and others

Optimization and Control, Machine Learning

High-Probability Risk Bounds via Sequential Predictors

15 August 2023 by Dirk Van Der Hoeven and others

Machine Learning, Information Theory

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

3 July 2023 by Dirk Van Der Hoeven and others at

Imperial College London

Machine Learning

Delayed Bandits: When Do Intermediate Observations Help?

30 May 2023 by Emmanuel Esposito and others

Machine Learning

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

15 May 2023 by Dirk Van Der Hoeven and others

Machine Learning

Learning on the Edge: Online Learning with Stochastic Feedback Graphs

9 October 2022 by Emmanuel Esposito and others

Machine Learning, Data Structures and Algorithms

A Regret-Variance Trade-Off in Online Learning

6 June 2022 by Dirk Van Der Hoeven and others

Machine Learning

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

1 June 2022 by Chloé Rouyer and others

Machine Learning

Distributed Online Learning for Joint Regret with Communication Constraints

25 October 2021 by Dirk Van Der Hoeven and others

Machine Learning

MetaGrad: Adaptation using Multiple Learning Rates in Online Learning

30 August 2021 by Tim Van Erven and others

Machine Learning

Exploiting the Surrogate Gap in Online Multiclass Classification

26 February 2021 by Dirk Van Der Hoeven

Machine Learning, Optimization and Control

Comparator-adaptive Convex Bandits

16 July 2020 by Dirk Van Der Hoeven and others

Machine Learning

The Many Faces of Exponential Weights in Online Learning

5 June 2018 by Dirk Van Der Hoeven and others

Machine Learning

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Machine Learning Optimization and Control Information Theory Statistics Theory Data Structures and Algorithms