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

D. van der Hoeven, C. Pike-Burke, H. Qiu, и N. Cesa-Bianchi. ICML, том 202 из Proceedings of Machine Learning Research, стр. 34809-34830. PMLR, (2023)

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Adrianus van der Hoeven

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Jan Arie van der Hoeven

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A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs.D. van der Hoeven, L. Zierahn, T. Lancewicki, A. Rosenberg, и N. Cesa-Bianchi. COLT, том 195 из Proceedings of Machine Learning Research, стр. 1285-1321. PMLR, (2023)Exploiting the Surrogate Gap in Online Multiclass Classification.D. van der Hoeven. NeurIPS, (2020)Nonstochastic Contextual Combinatorial Bandits.L. Zierahn, D. van der Hoeven, N. Cesa-Bianchi, и G. Neu. AISTATS, том 206 из Proceedings of Machine Learning Research, стр. 8771-8813. PMLR, (2023)The Many Faces of Exponential Weights in Online Learning.D. van der Hoeven, T. van Erven, и W. Kotlowski. COLT, том 75 из Proceedings of Machine Learning Research, стр. 2067-2092. PMLR, (2018)A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs.C. Rouyer, D. van der Hoeven, N. Cesa-Bianchi, и Y. Seldin. NeurIPS, (2022)Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts.D. van der Hoeven, C. Pike-Burke, H. Qiu, и N. Cesa-Bianchi. ICML, том 202 из Proceedings of Machine Learning Research, стр. 34809-34830. PMLR, (2023)A Regret-Variance Trade-Off in Online Learning.D. van der Hoeven, N. Zhivotovskiy, и N. Cesa-Bianchi. NeurIPS, (2022)Distributed Online Learning for Joint Regret with Communication Constraints.D. van der Hoeven, H. Hadiji, и T. van Erven. ALT, том 167 из Proceedings of Machine Learning Research, стр. 1003-1042. PMLR, (2022)Delayed Bandits: When Do Intermediate Observations Help?E. Esposito, S. Masoudian, H. Qiu, D. van der Hoeven, N. Cesa-Bianchi, и Y. Seldin. ICML, том 202 из Proceedings of Machine Learning Research, стр. 9374-9395. PMLR, (2023)Open Problem: Fast and Optimal Online Portfolio Selection.T. van Erven, D. van der Hoeven, W. Kotlowski, и W. Koolen. COLT, том 125 из Proceedings of Machine Learning Research, стр. 3864-3869. PMLR, (2020)

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