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

    An algorithm for stochastic and adversarial bandits with switching costs

    Rouyer, Chloé, 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 proceedingArticle in proceedingsResearchpeer-review

  4. Published

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

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

  5. 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

  6. 2020
  7. 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 proceedingArticle in proceedingsResearchpeer-review

  8. 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

  9. Published

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

    Rouyer, Chloé & 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 proceedingArticle in proceedingsResearchpeer-review

  10. 2019
  11. 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

  12. 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

  13. 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

Previous 1 2 3 4 Next

ID: 120818606