Yevgeny Seldin

Yevgeny Seldin

Professor


  1. 2021
  2. Published

    Improved Analysis of the Tsallis-INF Algorithm in Stochastically Constrained Adversarial Bandits and Stochastic Bandits with Adversarial Corruptions

    Masoudian, Saeed & 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 proceedingArticle in proceedingsResearchpeer-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 journalJournal articleResearchpeer-review

  4. 2020
  5. Published

    An optimal algorithm for adversarial bandits with arbitrary delays

    Zimmert, J. U. & Seldin, Yevgeny, 2020, Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  6. Published

    Second Order PAC-Bayesian Bounds for the Weighted Majority Vote

    Masegosa, A. R., Lorenzen, Stephan Sloth, 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 proceedingArticle in proceedingsResearchpeer-review

  7. Published

    Tsallis-INF for decoupled exploration and exploitation in multi-armed bandits

    Rouyer, Chloé & Seldin, Yevgeny, 2020, Proceedings of the Conference on Learning Theory (COLT).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  8. 2019
  9. Published

    An Optimal Algorithm for Stochastic and Adversarial Bandits

    Zimmert, J. U. & Seldin, Yevgeny, 2019, Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS). Chaudhuri, K. & Sugiyama, M. (eds.). PMLR, p. 467-475 (Proceedings of Machine Learning Research, Vol. 89).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-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 proceedingArticle in proceedingsResearchpeer-review

  11. Published

    On PAC-Bayesian bounds for random forests

    Lorenzen, Stephan Sloth, Igel, Christian & Seldin, Yevgeny, 2019, In: Machine Learning. 108, 8-9, p. 1503-1522

    Research output: Contribution to journalJournal articleResearchpeer-review

  12. 2018
  13. 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 proceedingArticle in proceedingsResearchpeer-review

  14. 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 proceedingArticle in proceedingsResearchpeer-review

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