Yevgeny Seldin

Yevgeny Seldin

Professor

ORCID: 0000-0003-3152-4635

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  1. Published

    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

  2. Published

    An algorithm for stochastic and adversarial bandits with switching costs

    Rouyer, C., Seldin, Yevgeny & Cesa-Bianchi, N., 2021, Proceedings of the 38th International Conference on Machine Learning (ICML). PMLR, p. 9127-9135 (Proceedings of Machine Learning Research, Vol. 139).

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

  3. Published

    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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. Published

    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

  10. 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. Springer

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

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