VAN DER HOEVEN, DIRK
VAN DER HOEVEN, DIRK
Dipartimento di Informatica Giovanni Degli Antoni
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Risultati 1 - 8 di 8 (tempo di esecuzione: 0.004 secondi).
Delayed Bandits: When Do Intermediate Observations Help?
2023 E. Esposito, S. Masoudian, H. Qiu, D. VAN DER HOEVEN, N. Cesa-Bianchi, Y. Seldin
Nonstochastic Contextual Combinatorial Bandits
2023 L. Zierahn, D. van der Hoeven, N. Cesa Bianchi, G. Neu
Nonstochastic Bandits and Experts with Arm-Dependent Delays
2022 D. VAN DER HOEVEN, N. Cesa Bianchi
A Regret-Variance Trade-Off in Online Learning
2022 D. van der Hoeven, N. Zhivotovskiy, N. Cesa Bianchi
A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs
2022 C. Rouyer, D. van der Hoeven, N. Cesa Bianchi, Y. Seldin
Learning on the Edge: Online Learning with Stochastic Feedback Graphs
2022 E. Esposito, F. Fusco, D. van der Hoeven, N. Cesa Bianchi
Metagrad: adaptation using multiple learning rates in online learning
2021 T. Van Erven, W.M. Koolen, D. Van Der Hoeven
Beyond Bandit Feedback in Online Multiclass Classification
2021 D. van der Hoeven, F. Fusco, N. Cesa Bianchi