Yevgeny Seldin

Yevgeny Seldin

Professor

ORCID: 0000-0003-3152-4635

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  1. 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

  2. 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

  3. Published

    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

  4. 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

  5. Published

    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. 11369-11381

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

  6. Published

    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

  7. 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

  8. 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, 12

    Research output: Contribution to journal › Journal article › Research › peer-review

  9. 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

  10. 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

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