Professor Vladimir Vovk

  1. 1985
  2. Published

    Алгоритмическая теория случайности и проблема предсказания

    Vovk, V., 1985, Сложностные проблемы математической логики. Kanovich, M. I. (ed.). Kalinin, p. 21-24 4 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  3. Published

    Программирование на языке ассемблера векторного и конвейерного компьютера некоторых стандартных алгоритмов линейной алгебры

    Vovk, V., 1985, Вопросы кибернетики. Mel'nikov, V. A. & Dadaev, Y. G. (eds.). Moscow, Vol. 117. p. 31-44 14 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  4. 1986
  5. Published

    On the concept of the Bernoulli property

    Vovk, V., 1986, In : Russian Mathematical Surveys. 41, p. 247-248 2 p.

    Research output: Contribution to journalArticle

  6. Published

    On use of algorithmic notions of randomness and simplicity in mathematical statistics

    Vovk, V., 1986, p. 456. 1 p.

    Research output: Contribution to conferenceAbstract

  7. Published

    Об одном варианте понятия случайности по Мизесу-Черчу

    Vovk, V., 1986, p. 95-97. 3 p.

    Research output: Contribution to conferenceAbstract

  8. Published

    Об одном критерии случайности для полных последовательностей

    Vovk, V., 1986, Седьмая тематическая конференция механико-математического факультета: Алгебра, логика и теория чисел. Moscow: Moscow State University, p. 34-37 4 p.

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

  9. 1987
  10. Published

    On a randomness criterion

    Vovk, V., 1987, In : Soviet Mathematics Doklady. 35, p. 656-660 5 p.

    Research output: Contribution to journalArticle

  11. Published

    The law of the iterated logarithm for random Kolmogorov, or chaotic, sequences

    Vovk, V., 1987, In : Theory of Probability and Its Applications. 32, p. 413-425 13 p.

    Research output: Contribution to journalArticle

  12. 1988
  13. Published

    Kolmogorov-Stout law of the iterated logarithm

    Vovk, V., 1988, In : Mathematical Notes. 44, p. 502-507 6 p.

    Research output: Contribution to journalArticle

  14. Published

    Об одном методе тестирования правильности программ на языке ассемблера

    Vovk, V., Semenov, A. L. & Soprunov, S. F., 1988, Вопросы кибернетики. Karmanov, V. G. (ed.). Moscow, Vol. 136. p. 56-78 23 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  15. Unpublished

    Предсказуемость алгоритмически случайных последовательностей

    Vovk, V., 1988, (Unpublished) Moscow: Moscow State University.

    Research output: ThesisDoctoral Thesis

  16. 1989
  17. Published

    Prediction of stochastic sequences

    Vovk, V., 1989, In : Problems of Information Transmission. 25, p. 285-296 12 p.

    Research output: Contribution to journalArticle

  18. 1990
  19. Published

    Aggregating strategies

    Vovk, V., 1990, Proceedings of the Third Annual Workshop on Computational Learning Theory. Fulk, M. & Case, J. (eds.). San Mateo, CA: Morgan Kaufmann, p. 371-383 13 p.

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

  20. 1991
  21. Published

    Asymptotic efficiency of estimators: an algorithmic approach

    Vovk, V., 1991, In : Theory of Probability and Its Applications. 36, p. 329-343 15 p.

    Research output: Contribution to journalArticle

  22. Published
  23. 1992
  24. Published

    Universal forecasting algorithms

    Vovk, V., 1992, In : Information and Computation. 96, p. 245-277 33 p.

    Research output: Contribution to journalArticle

  25. 1993
  26. Published

    A logic of probability, with application to the foundations of statistics (with discussion)

    Vovk, V., 1993, In : Journal of the Royal Statistical Society: Series B (Statistical Methodology). 55, p. 317-351 35 p.

    Research output: Contribution to journalArticle

  27. Published

    Forecasting point and continuous processes: prequential analysis

    Vovk, V., 1993, In : Test. 2, p. 189-217 29 p.

    Research output: Contribution to journalArticle

  28. Published

    On the empirical validity of the Bayesian method

    Vovk, V. & V'yugin, V. V., 1993, In : Journal of the Royal Statistical Society: Series B (Statistical Methodology). 55, p. 253-266 14 p.

    Research output: Contribution to journalArticle

  29. Published
  30. 1994
  31. Published

    An optimal-control application of two paradigms of on-line learning

    Vovk, V., 1994, Proceedings of the Seventh Annual Workshop on Computational Learning Theory. New York: ACM Press, p. 98-109 12 p.

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

  32. Published

    Prequential level of impossibility with some applications

    Vovk, V. & V'yugin, V. V., 1994, In : Journal of the Royal Statistical Society: Series B (Statistical Methodology). 56, p. 115-123 9 p.

    Research output: Contribution to journalArticle

  33. 1995
  34. Published

    A game of prediction with expert advice

    Vovk, V., 1995, Proceedings of the Eighth Annual Conference on Computational Learning Theory . Maass, W. (ed.). New York: ACM Press, p. 51-60

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

  35. Published

    Minimum description length estimators under the optimal coding scheme

    Vovk, V., 1995, Proceedings of the Second European Conference on Computational Learning Theory. Vitanyi, P. (ed.). Berlin: Springer, p. 237-251 (Lecture Notes in Computer Science; vol. 904).

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

  36. 1996
  37. Published

    A strictly martingale version of Kolmogorov's strong law of large numbers

    Vovk, V., 1996, In : Theory of Probability and Its Applications. 41, 3

    Research output: Contribution to journalArticle

  38. Published

    Another semantics for Pearl's action calculus

    Vovk, V., 1996, Computational Learning and Probabilistic Reasoning. Gammerman, A. (ed.). New York: Wiley-Interscience, p. 127-146 20 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  39. Published

    Learning an optimal decision strategy in an in uence diagram with latent variables

    Vovk, V., 1996, Proceedings of the Ninth Annual Conference on Computational Learning Theory. New York: ACM Press, p. 110-121 12 p.

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

  40. 1997
  41. Published

    Derandomizing stochastic prediction strategies

    Vovk, V., 1997, Proceedings of the Tenth Annual Conference on Computational Learning Theory. Freund, Y. & Schapire, R. (eds.). New York: ACM Press, p. 32-44 13 p.

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

  42. Published

    Learning about the parameter of the Bernoulli model

    Vovk, V., 1997, In : Journal of Computer and System Sciences. 55, p. 96-104 9 p.

    Research output: Contribution to journalArticle

  43. Published

    On-line competitive linear regression

    Vovk, V., 1997.

    Research output: Working paper

  44. Published

    Probability theory for the Brier game

    Vovk, V., 1997, Proceedings of the Workshop on Algorithmic Learning Theory. Li, M. & Maruoka, A. (eds.). Springer, p. 323-338 16 p. (Lecture Notes in Computer Science; vol. 1316).

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

  45. 1998
  46. Published

    Competitive on-line linear regression

    Vovk, V., 1998, Advances in Neural Information Processing Systems. Jordan, M., Kearns, M. & Solla, S. (eds.). Cambridge, MA: MIT Press, p. 364-370 7 p.

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

  47. Published

    Learning by Support Vector Machine

    Gammerman, A. & Vovk, V., 1998.

    Research output: Contribution to conferenceOther

  48. Published

    Learning by transduction

    Gammerman, A., Vapnik, V. & Vovk, V., 1998, Proceedings of the Fourteenth Conference on Uncertainty in Articial Intelligence. San Francisco, CA: Morgan Kaufmann, p. 148-156 9 p.

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

  49. Published

    Ridge Regression learning algorithm in dual variables

    Saunders, C., Gammerman, A. & Vovk, V., 1998, Proceedings of the Fifteenth International Conference on Machine Learning. San Francisco, CA: Morgan Kaufmann, p. 515-521 7 p.

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

  50. Published

    Universal portfolio selection

    Vovk, V. & Watkins, C. J. H. C., 1998, Proceedings of the Eleventh Annual Conference on Computational Learning Theory. New York: ACM Press, p. 12-23 12 p.

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

  51. Published

    A game of prediction with expert advice

    Vovk, V., Apr 1998, In : Journal of Computer and System Sciences. 56, 2, p. 153-173 21 p.

    Research output: Contribution to journalArticle

  52. 1999
  53. Published
  54. Published

    Central limit theorem without probability

    Vovk, V., 1999.

    Research output: Working paper

  55. Published

    Competitive on-line statistics

    Vovk, V., 1999, Bulletin of the International Statistical Institute. Proceedings of the Fifty Second Session. Vol. Tome 58, Book 1. p. 231-234

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

  56. Published

    Complexity approximation principle

    Vovk, V. & Gammerman, A., 1999, In : The Computer Journal. 42, 4, p. 318-322 5 p.

    Research output: Contribution to journalArticle

  57. Published

    Editorial: Kolmogorov complexity

    Gammerman, A. & Vovk, V., 1999, In : The Computer Journal. 42, p. 251 1 p.

    Research output: Contribution to journalEditorial

  58. Published
  59. Published

    Kolmogorov complexity: Sources, theory and applications

    Gammerman, A. & Vovk, V., 1999, In : The Computer Journal. 42, 4, p. 252-255 4 p.

    Research output: Contribution to journalArticle

  60. Published

    Machine-learning applications of algorithmic randomness

    Vovk, V., Gammerman, A. & Saunders, C., 1999, Proceedings of the Sixteenth International Conference on Machine Learning. San Francisco, CA: Morgan Kaufmann, p. 444-453 10 p.

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

  61. Published

    Prequential probability: principles and properties

    Dawid, A. P. & Vovk, V., 1999, In : Bernoulli. 5, p. 125-162 38 p.

    Research output: Contribution to journalArticle

  62. Published

    Pricing European options without probability

    Vovk, V., 1999.

    Research output: Working paper

  63. Published

    Special issue editorial - Kolmogorov complexity

    Gammerman, A. & Vovk, V., 1999, In : The Computer Journal. 42, 4, p. 251-251 1 p.

    Research output: Contribution to journalEditorial

  64. Published

    Statistical applications of algorithmic randomness

    Vovk, V. & Gammerman, A., 1999, Bulletin of the International Statistical Institute. Proceedings of the Fifty Second Session: Contributed Papers. book 3 ed. Vol. 58. p. 469-470 2 p.

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

  65. Published

    Support Vector density estimation

    Weston, J., Gammerman, A., Stitson, M., Vapnik, V., Vovk, V. & Watkins, C., 1999, Advances in Kernel Methods: Support Vector Learning. Scholkopf, B., Burghes, C. J. C. & Smola, A. J. (eds.). Cambridge, MA: MIT Press, p. 293-305 13 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  66. Published

    Support Vector regression with ANOVA decomposition kernels

    Stitson, M., Gammerman, A., Vapnik, V., Vovk, V., Watkins, C. & Weston, J., 1999, Advances in Kernel Methods: Support Vector Learning. Scholkopf, B., Burghes, C. J. C. & Smola, A. J. (eds.). Cambridge, MA: MIT Press, p. 285-291 7 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  67. Published

    Transduction with confidence and credibility

    Saunders, C., Gammerman, A. & Vovk, V., 1999, Proceedings of the Sixteenth International Joint Conference on Articial Intelligence. Dean, T. (ed.). San Francisco, CA: Morgan Kaufmann, Vol. 2. p. 722-726 5 p.

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

  68. Published

    Derandomizing stochastic prediction strategies

    Vovk, V., Jun 1999, In : Machine Learning. 35, 3, p. 247-282 36 p.

    Research output: Contribution to journalArticle

  69. 2000
  70. Published

    Computationally efficient transductive machines

    Saunders, C., Gammerman, A. & Vovk, V., 2000, Proceedings of the Eleventh International Conference on Algorithmic Learning Theory. Arimura, H., Jain, S. & Sharma, A. (eds.). Berlin: Springer, p. 325-333 9 p. (Lecture Notes in Artificial Intelligence; vol. 1968).

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

  71. Published

    Black-Scholes formula without stochastic assumptions

    Vovk, V., Mar 2000.

    Research output: Working paper

  72. Published

    The existence of predictive complexity and the Legendre transformation

    Kalnichkan, Y. & Vovk, V., Mar 2000.

    Research output: Working paper

  73. Published

    Black-Scholes formula without stochastic assumptions

    Vovk, V., May 2000, Models for Credit Risk. London: UNICOM Seminars, p. 149-154 6 p.

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

  74. 2001
  75. Published

    Comparing the Bayes and typicalness frameworks

    Melluish, T., Saunders, C., Nouretdinov, I. & Vovk, V., 2001, Lecture Notes in Articial Intelligence. Vol. 2167. p. 360-371

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

  76. Published

    Kolmogorov's complexity conception of probability

    Vovk, V., 2001, Probability Theory: Philosophy, Recent History and Relations to Science. Dordrecht: Kluwer, p. 51-69 19 p.

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

  77. Published

    Loss functions, complexities, and the Legendre transformation

    Kalnishkan, Y., Vovk, V. & Vyugin, M. V., 2001, Proceedings of the Twelfth International Conference on Algorithmic Learning Theory. Abe, N., Khardon, R. & Zeugmann, T. (eds.). London: Springer, p. 181-189 9 p.

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

  78. Published

    Pattern recognition and density estimation under the general i.i.d assumption

    Nouretdinov, I., Vovk, V., Vyugin, M. & Gammerman, A., 2001, Proceedings of the Fourteenth Annual Conference on Computational Learning Theory and Fifth European Conference on Computational Learning Theory. Helmbold, D. & Williamson, B. (eds.). London: Springer, p. 337-353 17 p. (Lecture Notes in Artificial Intelligence; vol. 2111).

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

  79. Published

    Probability and Finance: It's Only a Game!

    Shafer, G. & Vovk, V., 2001, New York: Wiley-Interscience.

    Research output: Book/ReportBook

  80. Published

    Ridge Regression Confidence Machine

    Nouretdinov, I., Melluish, T. & Vovk, V., 2001, Proceedings of the Eighteenth International Conference on Machine Learning. p. 385-392

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

  81. Published

    Predicting nearly as well as the best pruning of a decision tree through dynamic programming scheme

    Takimoto, E., Maruoka, A. & Vovk, V., 17 Jun 2001, In : Theoretical Computer Science. 261, 1, p. 179-209 31 p.

    Research output: Contribution to journalArticle

  82. Published

    Probability theory for the Brier game

    Vovk, V., 17 Jun 2001, In : Theoretical Computer Science. 261, 1, p. 57-79 23 p.

    Research output: Contribution to journalArticle

  83. Published

    Competitive on-line statistics

    Vovk, V., Aug 2001, In : INTERNATIONAL STATISTICAL REVIEW. 69, 2, p. 213-248 36 p.

    Research output: Contribution to journalArticle

  84. Published

    The Game-Theoretic Capital Asset Pricing Model

    Vovk, V. & Shafer, G., 1 Nov 2001.

    Research output: Working paper

  85. Published
  86. 2002
  87. Published

    Asymptotic optimality of transductive confidence machine

    Vovk, V., 2002, Lecture Notes in Articial Intelligence. Vol. 2533. p. 336-350 15 p.

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

  88. Published

    Inductive Confidence Machine for pattern recognition

    Surkov, D., Gammerman, A. & Vovk, V., 2002, Proceedings of the ICDM 2002 Workshop on the Foundation of Data Mining and Knowledge Discovery. Lin, T. & Ohsuga, S. (eds.). Shimane Medical University, p. 249-255 7 p.

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

  89. Published

    Inductive confidence machines for regression

    Papadopoulos, H., Proedrou, K., Vovk, V. & Gammerman, A., 2002, Proceedings of the Thirteenth European Conference on Machine Learning. Elomaa, T., Mannila, H. & Toivonen, H. (eds.). London: Springer, p. 345-356 12 p. (Lecture Notes in Computer Science; vol. 2430).

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

  90. Published

    On-line confidence machines are well-calibrated

    Vovk, V., 2002, Proceedings of the Forty Third Annual Symposium on Foundations of Computer Science. Los Alamitos, CA: IEEE Computer Society, p. 187-196 10 p.

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

  91. Published

    Qualified predictions for large data sets in the case of pattern recognition

    Papadopoulos, H., Vovk, V. & Gammerman, A., 2002, Proceedings of the International Conference on Machine Learning and Applications. Wani, M., Arabnia, H., Cios, K., Hafeez, K. & Kendall, G. (eds.). CSREA Press, p. 159-163 5 p.

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

  92. Published

    Transductive confidence machines for pattern recognition

    Proedrou, K., Nouretdinov, I., Vovk, V. & Gammerman, A., 2002, Proceedings of the Thirteenth European Conference on Machine Learning. Elomaa, T., Mannila, H. & Toivonen, H. (eds.). London: Springer, p. 381-390 10 p. (Lecture Notes in Computer Science; vol. 2430).

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

  93. Published

    On-line Confidence Machines are well-calibrated

    Vovk, V., Apr 2002.

    Research output: Working paper

  94. Published

    Asymptotic optimality of Transductive Confidence Machine

    Vovk, V., May 2002, (On-line Compression Modelling project).

    Research output: Working paper

  95. Published

    Prediction algorithms and confidence measures based on algorithmic randomness theory

    Gammerman, A. & Vovk, V., 25 Sep 2002, In : Theoretical Computer Science. 287, 1, p. 209-217 9 p.

    Research output: Contribution to journalArticle

  96. Published
  97. 2003
  98. Published

    Criterion of calibration for transductive confidence machine with limited feedback

    Nouretdinov, I. & Vovk, V., 2003, Lecture Notes in Articial Intelligence. Vol. 2842. p. 259-267 9 p.

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

  99. Published

    How many strings are easy to predict?

    Kalnishkan, Y., Vovk, V. & Vyugin, M. V., 2003, In : ALGORITHMIC NUMBER THEORY, PRCEEDINGS. 2777, p. 522-536 15 p.

    Research output: Contribution to journalArticle

  100. Published

    Hypergraphical on-line compression models

    Vovk, V., 2003.

    Research output: Working paper

  101. Published

    Kolmogorov's contributions to the foundations of probability

    Vovk, V. & Shafer, G., 2003, In : Problems of Information Transmission. 39, p. 21-31 11 p.

    Research output: Contribution to journalArticle

  102. Published

    Testing exchangeability on-line

    Vovk, V., Nouretdinov, I. & Gammerman, A., 2003, Proceedings of the Twentieth International Conference on Machine Learning. Fawcett, T. & Mishra, N. (eds.). Menlo Park, CA: AAAI Press, p. 768-775

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

  103. Published

    The sources of Kolmogorov's Grundbegriffe

    Shafer, G. & Vovk, V., 2003, p. 553-554. 2 p.

    Research output: Contribution to conferenceAbstract

  104. Published

    Universal well-calibrated algorithm for on-line classification

    Vovk, V., 2003, Proceedings of the Sixteenth Annual Conference on Learning Theory and Seventh Kernel Workshop. Scholkopf, B. & Warmuth, M. K. (eds.). p. 358-372 15 p. (Lecture Notes in Artificial Intelligence; vol. 2777).

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

  105. Published

    Well-calibrated predictions from online compression models

    Vovk, V., 2003, Proceedings of the Fourteenth International Conference on Algorithmic Learning Theory. Gavalda, R., Jantke, K. & Takimoto, E. (eds.). Berlin: Springer, p. 268-282 15 p. (Lecture Notes in Artificial Intelligence; vol. 2842).

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

  106. Published

    A game-theoretic explanation of the $dt$ effect

    Vovk, V. & Shafer, G., Jan 2003, (The Game-Theoretic Probability and Finance project, http://probabilityandfinance.com).

    Research output: Working paper

  107. Published

    Testing Exchangeability On-line

    Vovk, V., Nouretdinov, I. & Gammerman, A., Feb 2003, (On-line Compression Modelling project).

    Research output: Working paper

  108. Published

    Mondrian Condence Machine

    Vovk, V., Lindsay, D., Nouretdinov, I. & Gammerman, A., Mar 2003, (On-line Compression Modelling project).

    Research output: Working paper

  109. Published

    Mondrian Confidence Machine

    Vovk, V., Lindsay, D., Nouretdinov, I. & Gammerman, A., Mar 2003, (On-line Compression Modelling project).

    Research output: Working paper

  110. Published

    Online region prediction with real teachers

    Ryabko, D., Vovk, V. & Gammerman, A., Mar 2003, (On-line Compression Modelling project).

    Research output: Working paper

  111. Published

    Criterion of calibration for Transductive Confidence Machine with limited feedback

    Nouretdinov, I. & Vovk, V., Apr 2003, (On-line Compression Modelling project, http://vovk.net/kp).

    Research output: Working paper

  112. Published

    Well-calibrated predictions from on-line compression models

    Vovk, V., 1 Apr 2003, (On-line Compression Modelling project, http://vovk.net/kp).

    Research output: Working paper

  113. Published

    Good randomized sequential probability forecasting is always possible

    Vovk, V. & Shafer, G., Jun 2003, (The Game-Theoretic Probability and Finance project).

    Research output: Working paper

  114. Published

    Probability forecasting in on-line compression models

    Vovk, V., Jun 2003.

    Research output: Working paper

  115. 2004
  116. Published

    A criterion for the existence of predictive complexity for binary games

    Kalnishkan, Y., Vovk, V. & Vyugin, M. V., 2004, Proceedings of the Fifteenth International Conference on Algorithmic Learning Theory. Ben-David, S., Case, J. & Maruoka, A. (eds.). Heidelberg: Springer, Vol. 3244. p. 249-263 15 p. (Lecture Notes in Artificial Intelligence; vol. 3244).

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

  117. Published

    On-line Prediction with Kernels and the Complexity Approximation Principle

    Gammerman, A., Kalnishkan, Y. & Vovk, V., 2004, Uncertainty in Artificial Intelligence, Proceedings of the Twentieth Conference. Chickering, M. & Halpern, J. (eds.). AUAI Press, p. 170-176

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

  118. Published

    Self-calibrating probability forecasting

    Vovk, V., Shafer, G. & Nouretdinov, I., 2004, Advances in Neural Information Processing Systems. Thrun, S., Saul, L. & Schoelkopf, B. (eds.). Cambridge, MA: MIT Press, Vol. 16. p. 1133-1140 8 p.

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

  119. Published

    Loss functions, complexities, and the Legendre transformation

    Kalnishkan, Y., Vovk, V. & Vyugin, M. V., 17 Feb 2004, In : Theoretical Computer Science. 313, 2, p. 195-207 13 p.

    Research output: Contribution to journalArticle

  120. Published

    A universal well-calibrated algorithm for on-line classification

    Vovk, V., Jun 2004, In : Journal of Machine Learning Research. 5, p. 575-604 30 p.

    Research output: Contribution to journalArticle

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