Yevgeny Seldin
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
ORCID: 0000-0003-3152-4635
1 - 3 out of 3Page size: 500
- 2020
- Published
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
Masegosa, A. R., Lorenzen, S. S., Igel, Christian & Seldin, Yevgeny, 2020, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. NeurIPS Proceedings, (Advances in Neural Information Processing Systems, Vol. 33).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Tsallis-INF for decoupled exploration and exploitation in multi-armed bandits
Rouyer, C. & Seldin, Yevgeny, 2020, Proceedings of Thirty Third Conference on Learning Theory(COLT). PMLR, p. 3227-3249 (Proceedings of Machine Learning Research, Vol. 125).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
An optimal algorithm for adversarial bandits with arbitrary delays
Zimmert, J. U. & Seldin, Yevgeny, 2020, Proceedings of the 23rdInternational Conference on Artificial Intelligence and Statistics (AISTATS) 2020. PMLR, 9 p. (Proceedings of Machine Learning Research, Vol. 108).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
Published -
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
Published -
28
downloads
Tsallis-INF: An optimal algorithm for stochastic and adversarial bandits
Research output: Contribution to journal › Journal article › Research › peer-review
Published