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Vladimir V'yugin - Selected Bibliography

Theory of recursive functions

V'yugin, V.V. (1972)
On discrete classes of recursively enumerable sets, Algebra and Logic, 11, N 3, pp.243-256 (in Russian).
V'yugin, V.V. (1973)
On minimal enumerations of computable classes of recursively enumerable sets, Soviet Math. Doklady, 212, N 2,pp.273-272 (in Russian).
V'yugin, V.V. (1973)
On some upper semilattices of computable enumerations, Algebra and Logic, 12, N 5, pp.512-529 (in Russian).
V'yugin, V.V. (1974)
Segments of recursively enumerable m-degrees, Algebra and Logic, 13, N 6, pp.635-654 (in Russian).
V'yugin, V.V. (1974)
On upper semilattices of enumerations, Soviet Math. Doklady, 217, N 4, pp.749-751 (In Russian).
V'yugin, V.V. (1974)
The structure of initial segments of the upper semilattice of computable enumerations of the class of all r.e.sets, Proceedings of the 3-th All-Union Conference on Mathematical Logic, Novosibirsk, USSR, pp. 36-37 (In Russian).

Kolmogorov complexity and randomness

V'yugin, V.V. (1976)
On Turing invariant sets, Soviet Math. Doklady, 229, N 4, pp. 790-793 (In Russian).
Levin, L.A., V'yugin, V.V. (1977)
Invariant Properties of Informational Bulks, Springer Lecture Notes on Computer science, 53, pp. 359-364.
V'yugin, V.V. (1981)
Algorithmic Entropy (complexity) of Finite Objects and its Application to Defining Randomness and Amount of Information, Semiotika and Informatica, 16, 14-43 (In Russian). Translated into English in Selecta Mathematica formerly Sovietica, 13, N4, pp. 357-389.
V'yugin, V.V. (1982)
The algebra of invariant properties of binary sequences, Problems Inform. Transmission, 18, N2, pp. 147-161.
V'yugin, V.V. (1983)
On computability of the parameter in the Bernoulli model, Problems Inform. Transmission, 19, N1.
V'yugin, V.V. (1985)
Nonstochastic objects, Problems Inform. Transmission, 21, N 2, pp.77-88.
V'yugin V.V. (1986)
Some estimates for nonstochastic sequences, Proceedings of the Ist World Congress of the Bernoully Society, Tashkent USSR, 8-14 September, Vol.1 Probability Theory and applications, ed. Yu.A.Prohorov, V.V.Sazonov, pp.173-176.
V'yugin V.V. (1987)
On the defect of randomness of a finite object with respect to measures with given complexity bounds, SIAM Theory Probab. Appl., 32, 508-512.
Vovk, V.G., V'yugin, V.V. (1993)
On the Empirical Validity of the Bayesian Method, Journal of the Royal Statistical Society, B, v.55, N1, pp.253-266.
Vovk, V.G., V'yugin, V.V. (1994)
Prequential Level of Impossibility with Some Applications, Journal of the Royal Statistical Society, B, v.56, N1, pp.115-123.
V'yugin V.V. (1996)
Bayesianism: An Algorithmic Analysis, Information and Computation, 127, N 1, p.1-10.
V'yugin V.V. (1996)
An ergodic theorem for individual random sequence, Uspekhi matem. nauk, 51, N 6, pp. 191-192 (In Russian).
V'yugin V.V. (1997)
Effective convergence in probability and an ergodic theorem for individual random sequences, SIAM Theory Probab. Appl., 42, N 1.
V'yugin V.V. (1997)
On the length of the maximal series of ``succeses''in an individual random sequence, SIAM Theory Probab. Appl. 42, N 3.
V'yugin V.V. (1998)
Non-stochastic infinite and finite sequences, Theoretical Computer Science, v. 207, N4, pp. 363-382.
V'yugin V.V. (1998)
Ergodic theorems for individual random sequences, Theoretical Computer Science, v. 207, N4, pp. 343-361.
V'yugin V.V. (1999)
Algorithmic complexity and stochastic properties of finite binary sequences, The Computer Journal, 204 .
V'yugin V.V. (1999)
"Does snooping help?", Technical report No CLRC-TR-99-06, December 1999, Computer Learning Research Centre, Royal Holloway, University of London.
V'yugin V.V. (1999)
"Most sequences are predictable", Technical report No CLRC-TR-99-01, December 1999, Computer Learning Research Centre, Royal Holloway, University of London
V'yugin V.V. (2000)
Sub-optimal measures of predictive complexity Technical report CLRC-TR-00-05, Computer Learning Research Centre, Royal Holloway, University of London, 2000.
V'yugin V.V. (2001)
Non-robustness property of the individual ergodic theorem, Problems Inform. Transmission, 37, N 2, pp27-39.
V'yugin V.V. (2001)
Most sequences are stochastic, Information and Computation, 169, 2001, pp252-263.
V'yugin M.V., V'yugin V.V. (2001)
Non-linear inequalities between Kolmogorov and predictive complexities, in Proceedings of the Twelfth International Conference on Algorithmic Learning Theory (ALT'01), 2001, pp190-204.
V'yugin M.V., V'yugin V.V. (2002)
Predicitive complexit and information, Proceedings of the Fifteenth International Conference on Computational Learning Theory (COLT'02), Lecture Notes on Artificial Intelligence, 2375, 2002, pp90-104.
V'yugin V.V. (2002)
Does snooping help?, Theoretical Computer Science, 276, 2002, pp.407--415.
V'yugin V.V. (2002)
Suboptimal measures of predictive complexity for absolute loss function, Information and Computation, 175, 2002, pp.146--157.
Vyugin M.V., V'yugin V.V. (2002)
On complexity of easy predictable sequences, Information and Computation, 177, 2002 (to appear).
Vyugin M.V., V'yugin V.V. (2002)
On complexity of easy predictable sequences, Information and Computation, 178, 2002, pp.241--252.
Ilya Nuretdinov, Vladimir V'yugin, Alex Gammerman (2003)
Transductive Confidence Machine is Universal, Lecture Notes in Computer Science, Algorithmic Learning Theory, 2842, 2003, pp. 283--297, Springer, Heidelberg.
V'yugin V.V. (2003)
Problem of Robustness for Universal Coding Schemes, Problems Inform. Transmission, 2003, 39, N1, pp.32--46.
Maslov V.P., V'yugin V.V. (2003)
Extremal Relations Between Additive Loss Functions and Kolmogorov Complexity, Problems Inform. Transmission, 2003, 39, N4.
Maslov V.P., V'yugin V.V. (2004)
Maximum Entropy Principle in Non-Ordered Setting, Algorithmic Learning Theory: 15th International Conference, ALT 2004 Proceedings (Shai Ben-David, John Case, Akira Maruoka Editors) pp. 221 - 233.

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