Professor Vladimir Vovk

  1. 2018
  2. E-pub ahead of print

    Conformal Predictive Distributions with Kernels

    Vovk, V., Nouretdinov, I., Manokhin, V. & Gammerman, A., 23 Aug 2018, Braverman Readings in Machine Learning. Key Ideas from Inception to Current State - International Conference Commemorating the 40th Anniversary of Emmanuil Braverman’s Decease, Invited Talks. Springer-Verlag, Vol. 11100 . p. 103-121 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11100 LNAI).

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

  3. Published

    Conformal predictive decision making

    Vovk, V. & Bendtsen, C., Jun 2018, Proceedings of Machine Learning Research. Gammerman, A., Vovk, V., Luo, Z., Smirnov, E. & Peeters, R. (eds.). Vol. 91. p. 52-62 11 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  4. Published

    Cross-conformal predictive distributions

    Vovk, V., Nouretdinov, I., Manokhin, V. & Gammerman, A., Jun 2018, Proceedings of Machine Learning Research. Gammerman, A., Vovk, V., Luo, Z., Smirnov, E. & Peeters, R. (eds.). Vol. 91. p. 37-51 15 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  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, p. 21-46 26 p.

    Research output: Contribution to journalArticle

  7. Published

    Universal probability-free prediction

    Vovk, V. & Pavlovic, D., Oct 2017, In : Annals of Mathematics and Artificial Intelligence. 81, 1-2, p. 1-24 24 p.

    Research output: Contribution to journalArticle

  8. Published

    The role of measurability in game-theoretic probability

    Vovk, V., Jul 2017, In : Finance and Stochastics. 21, 3, p. 719–739 21 p.

    Research output: Contribution to journalArticle

  9. Published

    Inductive Conformal Martingales for Change-Point Detection

    Volkhonskiy, D., Burnaev, E., Nouretdinov, I., Gammerman, A. & Vovk, V., 2017, 6th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2017). p. 1-22 22 p.

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

  10. Published

    Nonparametric predictive distributions based on conformal prediction

    Vovk, V., Shen, J., Manokhin, V. & Xie, M., 2017, Proceedings of Machine Learning Research: Proceedings of COPA 2016 (Sixth Symposium on Conformal and Probabilistic Prediction and Applications). Gammerman, A., Vovk, V., Luo, Z. & Papadopoulos, H. (eds.). Vol. 60. p. 82-102 21 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  11. 2016
  12. Published

    Prescience: Probabilistic Guidance on the Retraining Conundrum for Malware Detection

    Deo, A., Dash, S., Suarez de Tangil Rotaeche, G., Vovk, V. & Cavallaro, L., 28 Oct 2016, ACM Workshop on Artificial Intelligence and Security. Vienna, Austria: ACM, p. 71-82 12 p.

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

  13. Published

    Criteria of Efficiency for Conformal Prediction

    Vovk, V., Fedorova, V., Nouretdinov, I. & Gammerman, A., 17 Apr 2016, Conformal and Probabilistic Prediction with Applications: 5th International Symposium, COPA 2016 Madrid, Spain, April 20–22, 2016 Proceedings. Springer, Vol. 9653. p. 23-39 17 p. (Lecture Notes in Computer Science; vol. 9653).

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

Previous 1 2 3 4 5 6 7 8 ...28 Next