Yevgeny Seldin

Yevgeny Seldin

Professor

ORCID: 0000-0003-3152-4635

Udgivelsesår:
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  1. 2021
  2. Udgivet

    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, s. 3330-3350 (Proceedings of Machine Learning Research, Bind 134).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  3. Udgivet

    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, s. 9127-9135 (Proceedings of Machine Learning Research, Bind 139).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  4. Udgivet

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

    Wu, Yi Shan, Masegosa, A. R., Lorenzen, S. S., Igel, Christian & Seldin, Yevgeny, 2021, Advances in Neural Information Processing Systems 34 (NeurIPS). NeurIPS Proceedings, s. 1-12

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  5. Udgivet

    Tsallis-INF: An optimal algorithm for stochastic and adversarial bandits

    Zimmert, J. U. & Seldin, Yevgeny, 2021, I: Journal of Machine Learning Research. 22, 49 s., 28.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  6. 2020
  7. Udgivet

    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 s. (Proceedings of Machine Learning Research, Bind 108).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  8. Udgivet

    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, Bind 33).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  9. Udgivet

    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, s. 3227-3249 (Proceedings of Machine Learning Research, Bind 125).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  10. 2019
  11. Udgivet

    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. (red.). PMLR, s. 467-475 (Proceedings of Machine Learning Research, Bind 89).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  12. Udgivet

    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 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  13. Udgivet

    On PAC-Bayesian bounds for random forests

    Lorenzen, S. S., Igel, Christian & Seldin, Yevgeny, 2019, I: Machine Learning. 108, 8-9, s. 1503-1522

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

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