Mr Ivan Petej

  1. 2019
  2. Forthcoming

    Computationally efficient versions of conformal predictive distributions

    Vovk, V., Petej, I., Nouretdinov, I., Manokhin, V. & Gammerman, A., 9 Oct 2019, (Accepted/In press) In : Neurocomputing. 31 p.

    Research output: Contribution to journalArticle

  3. 2018
  4. Unpublished

    Small and Large Scale Probabilistic Classifiers with Guarantees of Validity

    Petej, I., 2018, (Unpublished) 133 p.

    Research output: ThesisDoctoral Thesis

  5. 2017
  6. Published

    Criteria of efficiency for set-valued classification

    Vovk, V., Nouretdinov, I., Fedorova, V., Petej, I. & Gammerman, A., Oct 2017, In : Annals of Mathematics and Artificial Intelligence. 81, 1-2, p. 21-46 26 p.

    Research output: Contribution to journalArticle

  7. 2015
  8. Published

    Large-scale probabilistic predictors with and without guarantees of validity

    Vovk, V., Petej, I. & Fedorova, V., 7 Dec 2015, Advances in Neural Information Processing Systems 28: Proceedings of NIPS 2015. Curran Associates, p. 892-900 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  9. 2014
  10. Published

    From conformal to probabilistic prediction

    Vovk, V., Petej, I. & Fedorova, V., 2014, COPA 2014 Proceedings.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  11. Published

    Venn-Abers predictors

    Vovk, V. & Petej, I., 2014, Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence. p. 829-838 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution