Yevgeny Seldin
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
- 2013
Evaluation and analysis of the performance of the EXP3 algorithm in stochastic environments
Seldin, Yevgeny, Szepesvári, C., Auer, P. & Abbasi-Yadkori, Y., 2013, JMLR Workshop and Conference Proceedings, 24 (EWRL).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
On the Relations and Differences between Popper Dimension, Exclusion Dimension and VC-Dimension
Seldin, Yevgeny & Schölkopf, B., 2013, Festschrift in Honor of Vladimir N. Vapnik. SpringerPublikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions
Abbasi-Yadkori, Y., Bartlett, P. L., Kanade, V., Seldin, Yevgeny & Szepesvári, C., 2013, Advances in Neural Information Processing Systems (NIPS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Open problem: Adversarial multiarmed bandits with limited advice
Seldin, Yevgeny, Crammer, K. & Bartlett, P. L., 2013, JMLR Workshop and Conference Proceedings, 30 (COLT).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
PAC-Bayes-Empirical-Bernstein Inequality
Tolstikhin, I. & Seldin, Yevgeny, 2013, Advances in Neural Information Processing Systems (NIPS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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
- 2016
- Udgivet
An improved multileaving algorithm for online ranker evaluation
Brost, B., Cox, Ingemar Johansson, Seldin, Yevgeny & Lioma, Christina, 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 › fagfællebedømt
- Udgivet
Multi-dueling bandits and their application to online ranker evaluation
Brost, B., Seldin, Yevgeny, Cox, Ingemar Johansson & Lioma, Christina, 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 › fagfællebedømt
- 2017
- Udgivet
A strongly quasiconvex PAC-Bayesian bound
Thiemann, N., Igel, Christian, Wintenberger, O. & Seldin, Yevgeny, 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 › fagfællebedømt
ID: 120818606
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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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Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Udgivet -
29
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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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