Yevgeny Seldin
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
PAC-Bayesian analysis of co-clustering and beyond
Seldin, Yevgeny & Tishby, N., 2010, In: Journal of Machine Learning Research. 11, p. 3595-3646 52 p.Research output: Contribution to journal › Journal article › Research › peer-review
PAC-Bayes-Empirical-Bernstein Inequality
Tolstikhin, I. & Seldin, Yevgeny, 2013, Advances in Neural Information Processing Systems (NIPS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
PAC-Bayes-Bernstein inequality for martingales and its application to multiarmed bandits
Seldin, Yevgeny, Cesa-Bianchi, N., Auer, P., Laviolette, F. & Shawe-Taylor, J., 2012, JMLR Workshop and Conference Proceedings, 26.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open problem: Adversarial multiarmed bandits with limited advice
Seldin, Yevgeny, Crammer, K. & Bartlett, P. L., 2013, JMLR Workshop and Conference Proceedings, 30 (COLT).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
One practical algorithm for both stochastic and adversarial bandits
Seldin, Yevgeny & Slivkins, A., 2014, JMLR Workshop and Conference Proceedings, 32 (ICML).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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. SpringerResearch output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
- Published
On PAC-Bayesian bounds for random forests
Lorenzen, S. S., Igel, Christian & Seldin, Yevgeny, 2019, In: Machine Learning. 108, 8-9, p. 1503-1522Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Nonstochastic multiarmed bandits with unrestricted delays
Thune, T. S., Cesa-Bianchi, N. & Seldin, Yevgeny, 2019, Advances in Neural Information Processing Systems 32 (NeurIPS). NIPS Proceedings, 10 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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, p. 2161-2166 6 p. (ACM International Conference on Information and Knowledge Management).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 120818606
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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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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