Yevgeny Seldin
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
ORCID: 0000-0003-3152-4635
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Delayed Bandits: When Do Intermediate Observations Help?
Esposito, E., Masoudian, Saeed, Qiu, H., van der Hoeven, D., Cesa-Bianchi, N. & Seldin, Yevgeny, 2023, Proceedings of the 40 th International Conference on Machine Learnin. PMLR, p. 9374-9395 22 p. (Proceedings of Machine Learning Research, Vol. 202).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 120818606
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72
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Improved Analysis of the Tsallis-INF Algorithm in Stochastically Constrained Adversarial Bandits and Stochastic Bandits with Adversarial Corruptions
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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30
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Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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28
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Tsallis-INF: An optimal algorithm for stochastic and adversarial bandits
Research output: Contribution to journal › Journal article › Research › peer-review
Published