Yevgeny Seldin

Yevgeny Seldin

Professor

ORCID: 0000-0003-3152-4635

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  1. Published

    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

  2. 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

  3. Published

    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

  4. 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

  5. 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

  6. 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).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  7. Published

    Delayed Bandits: When Do Intermediate Observations Help?

    Esposito, E., Masoudian, S., Qiu, H., van der Hoeven, D., Cesa-Bianchi, N. & Seldin, Yevgeny, 2023, Proceedings of the 40 th International Conference on Machine Learnin. PMLR, p. 9374-9395 22 p. (Proceedings of Machine Learning Research, Vol. 202).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  8. Published

    Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote

    Wu, Yi-Shan, Masegosa, A. R., Lorenzen, S. S., Igel, Christian & Seldin, Yevgeny, 2021, Advances in Neural Information Processing Systems 34 (NeurIPS). NeurIPS Proceedings, p. 1-12

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  9. Published

    An optimal algorithm for adversarial bandits with arbitrary delays

    Zimmert, J. U. & Seldin, Yevgeny, 2020, Proceedings of the 23rdInternational Conference on Artificial Intelligence and Statistics (AISTATS) 2020. PMLR, 9 p. (Proceedings of Machine Learning Research, Vol. 108).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  10. Published

    An improved parametrization and analysis of the EXP3++ algorithm for stochastic and adversarial bandits

    Seldin, Yevgeny & Lugosi, G., 2017, Proceedings of Conference on Learning Theory, 7-10 July 2017, Amsterdam, Netherlands. Kale, S. & Shamir, O. (eds.). Proceedings of Machine Learning Research, p. 1743-1759 (Proceedings of Machine Learning Research, Vol. 65).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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