Publikationer pr. år
Publikationer pr. år
Personlig profil
Kort præsentation
I am working in the area of <b>Machine Learning</b> with primary focus on <b>Online Learning</b> and <b>PAC-Bayesian analysis</b>. For more information, please, check <b><a href="https://sites.google.com/site/yevgenyseldin/">https://sites.google.com/site/yevgenyseldin/</a></b>
Fingeraftryk
Dyk ned i forskningsemnerne, hvor Yevgeny Seldin er aktive. Disse emneetiketter kommer fra dennes persons arbejder. Sammen danner de et unikt fingerprint.
- 4 Lignende profiler
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An Optimal Algorithm for Stochastic and Adversarial Bandits
Zimmert, J. U. & Seldin, Y., 2019, Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS). Proceedings of Machine Learning ResearchPublikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
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On PAC-Bayesian bounds for random forests
Lorenzen, S. S., Igel, C. & Seldin, Y., 15 sep. 2019, I: Machine Learning. 108, 8-9, s. 1503-1522Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Adaptation to Easy Data in Prediction with Limited Advice
Thune, T. S. & Seldin, Y., 2018, Advances in Neural Information Processing Systems (NeurIPS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
1 Citationer (Scopus) -
Factored Bandits
Zimmert, J. U. & Seldin, Y., 2018, Advances in Neural Information Processing Systems (NeurIPS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
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An improved parametrization and analysis of the EXP3++ algorithm for stochastic and adversarial bandits
Seldin, Y. & Lugosi, G., 2017, Proceedings of Conference on Learning Theory, 7-10 July 2017, Amsterdam, Netherlands. Kale, S. & Shamir, O. (red.). Proceedings of Machine Learning Research, s. 1743-1759 (Proceedings of Machine Learning Research, Bind 65).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
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A strongly quasiconvex PAC-Bayesian bound
Thiemann, N., Igel, C., Wintenberger, O. & Seldin, Y., 2017, Proceedings of International Conference on Algorithmic Learning Theory, 15-17 October 2017, Kyoto University, Kyoto, Japan . Hanneke, S. & Reyzin, L. (red.). Proceedings of Machine Learning Research, s. 466-492 (Proceedings of Machine Learning Research, Bind 76).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
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An improved multileaving algorithm for online ranker evaluation
Brost, B., Cox, I. J., Seldin, Y. & Lioma, C., 7 jul. 2016, Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval: SIGIR '16. Association for Computing Machinery, s. 745-748 4 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
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Multi-dueling bandits and their application to online ranker evaluation
Brost, B., Seldin, Y., Cox, I. J. & Lioma, C., 24 okt. 2016, Proceedings of the 25th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, s. 2161-2166 6 s. (ACM International Conference on Information and Knowledge Management).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review