Yevgeny Seldin
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
ORCID: 0000-0003-3152-4635
1 - 2 ud af 2Pr. side: 10
- 2014
One practical algorithm for both stochastic and adversarial bandits
Seldin, Yevgeny & Slivkins, A., 2014, JMLR Workshop and Conference Proceedings, 32 (ICML).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Prediction with limited advice and multiarmed bandits with paid observations
Seldin, Yevgeny, Bartlett, P. L., Crammer, K. & Abbasi-Yadkori, Y., 2014, JMLR Workshop and Conference Proceedings, 32 (ICML).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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30
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Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Udgivet -
28
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Tsallis-INF: An optimal algorithm for stochastic and adversarial bandits
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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