Yevgeny Seldin
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
- Published
Unsupervised sequence segmentation by a mixture of variable memory length Markov sources
Seldin, Yevgeny, Bejerano, G. & Tishby, N., 2001, Proceedings of the 18th International Conference on Machine Learning (ICML).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Unsupervised segmentation and classification of mixtures of Markovian sources
Seldin, Yevgeny, Starik, S. & Werman, M., 2003.Research output: Contribution to conference › Paper › Research › peer-review
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Tsallis-INF: An optimal algorithm for stochastic and adversarial bandits
Zimmert, J. U. & Seldin, Yevgeny, 2021, In: Journal of Machine Learning Research. 22, 49 p., 28.Research output: Contribution to journal › Journal article › Research › peer-review
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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
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Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random Variables
Wu, Yi-Shan & Seldin, Yevgeny, 2022, Advances in Neural Information Processing Systems 35 (NeurIPS 2022). NeurIPS Proceedings, p. 11369-11381Research 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
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
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).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
PAC-Bayesian inequalities for martingales
Seldin, Yevgeny, Laviolette, F., Cesa-Bianchi, N., Shawe-Taylor, J. & Auer, P., 2012, In: I E E E Transactions on Information Theory. 58, 12Research output: Contribution to journal › Journal article › Research › peer-review
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PAC-Bayesian generalization bound for density estimation with application to co-clustering
Seldin, Yevgeny & Tishby, N., 2009, JMLR Workshop and Conference Proceedings, 5 (AISTATS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
PAC-Bayesian analysis of contextual bandits
Seldin, Yevgeny, Auer, P., Laviolette, F., Shawe-Taylor, J. & Ortner, R., 2011, Advances in Neural Information Processing Systems (NIPS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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
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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
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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
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Multi-classification by categorical features via clustering
Seldin, Yevgeny & Tishby, N., 2008, Proceedings of the 25th International Conference on Machine Learning (ICML).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Markovian domain fingerprinting: statistical segmentation of protein sequences
Bejerano, G., Seldin, Yevgeny, Tishby, N. & Margalit, H., 2001, In: Bioinformatics.Research output: Contribution to journal › Journal article › Research › peer-review
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Information bottleneck for non co-occurrence data
Seldin, Yevgeny, Slonim, N. & Tishby, N., 2007, Advances in Neural Information Processing Systems (NIPS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Improved Analysis of the Tsallis-INF Algorithm in Stochastically Constrained Adversarial Bandits and Stochastic Bandits with Adversarial Corruptions
Masoudian, S. & Seldin, Yevgeny, Jul 2021, Conference on Learning Theory (COLT 2021). PMLR, p. 3330-3350 (Proceedings of Machine Learning Research, Vol. 134).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Factored Bandits
Zimmert, J. U. & Seldin, Yevgeny, 2018, Proceedings of 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montréal, Canada.. NIPS Proceedings, 10 p. (Advances in Neural Information Processing Systems, Vol. 31).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 120818606
Most downloads
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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
downloads
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