Yevgeny Seldin

Yevgeny Seldin

Professor

ORCID: 0000-0003-3152-4635

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  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. Published

    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. (eds.). Proceedings of Machine Learning Research, p. 466-492 (Proceedings of Machine Learning Research, Vol. 76).

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

  9. Published

    Adaptation to Easy Data in Prediction with Limited Advice

    Thune, T. S. & Seldin, Yevgeny, 2018, Proceedings of 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montréal, Canada. NIPS Proceedings, 10. (Advances in Neural Information Processing Systems, Vol. 31).

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

  10. 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

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