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Vladimir Vovk

Volodya Vovk, V. G. Vovk

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2009
84EEAlexey V. Chernov, Vladimir Vovk: Prediction with expert evaluators' advice CoRR abs/0902.4127: (2009)
83EEFedor Zhdanov, Vladimir Vovk, Brian Burford, Dmitry Devetyarov, Ilia Nouretdinov, Alexander Gammerman: Online prediction of ovarian cancer CoRR abs/0904.1579: (2009)
2008
82EEAlexey V. Chernov, Alexander Shen, Nikolai K. Vereshchagin, Vladimir Vovk: On-Line Probability, Complexity and Randomness. ALT 2008: 138-153
81EEVladimir Vovk, Alexander Shen: Prequential Randomness. ALT 2008: 154-168
80EEAlexey V. Chernov, Yuri Kalnishkan, Fedor Zhdanov, Vladimir Vovk: Supermartingales in Prediction with Expert Advice. ALT 2008: 199-213
79EEVladimir Vovk, Fedor Zhdanov: Prediction with expert advice for the Brier game. ICML 2008: 1104-1111
78EEVladimir Vovk, Glenn Shafer: The game-theoretic capital asset pricing model. Int. J. Approx. Reasoning 49(1): 175-197 (2008)
77EEVladimir Vovk: Leading strategies in competitive on-line prediction. Theor. Comput. Sci. 405(3): 285-296 (2008)
2007
76EEYuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin: Generalised Entropy and Asymptotic Complexities of Languages. COLT 2007: 293-307
75EEVladimir Vovk: Competing with Stationary Prediction Strategies. COLT 2007: 439-453
74EEHarris Papadopoulos, Volodya Vovk, Alexander Gammerman: Conformal Prediction with Neural Networks. ICTAI (2) 2007: 388-395
73EEGlenn Shafer, Vladimir Vovk: A tutorial on conformal prediction CoRR abs/0706.3188: (2007)
72EEVladimir Vovk: Defensive forecasting for optimal prediction with expert advice CoRR abs/0708.1503: (2007)
71EEVladimir Vovk: Continuous and randomized defensive forecasting: unified view CoRR abs/0708.2353: (2007)
70EEVladimir Vovk: Prediction with expert advice for the Brier game CoRR abs/0710.0485: (2007)
69EEAlexander Gammerman, Vladimir Vovk: Hedging Predictions in Machine Learning: The Second Computer Journal Lecture. Comput. J. 50(2): 151-163 (2007)
68EEAlexander Gammerman, Vladimir Vovk: Rejoinder Hedging Predictions in Machine Learning. Comput. J. 50(2): 173-177 (2007)
67EEVladimir Vovk: Competing with wild prediction rules. Machine Learning 69(2-3): 193-212 (2007)
66EEVladimir Vovk: Non-asymptotic calibration and resolution. Theor. Comput. Sci. 387(1): 77-89 (2007)
2006
65EEVladimir Vovk: Leading Strategies in Competitive On-Line Prediction. ALT 2006: 214-228
64EEVladimir Vovk: Predictions as Statements and Decisions. COLT 2006: 4
63EEVladimir Vovk: Competing with Wild Prediction Rules. COLT 2006: 559-573
62EEVladimir Vovk: On-Line Regression Competitive with Reproducing Kernel Hilbert Spaces. TAMC 2006: 452-463
61EEVladimir Vovk: Predictions as statements and decisions CoRR abs/cs/0606093: (2006)
60EEVladimir Vovk: Competing with stationary prediction strategies CoRR abs/cs/0607067: (2006)
59EEVladimir Vovk: Leading strategies in competitive on-line prediction CoRR abs/cs/0607134: (2006)
58EEVladimir Vovk: Competing with Markov prediction strategies CoRR abs/cs/0607136: (2006)
57EEVladimir Vovk: Metric entropy in competitive on-line prediction CoRR abs/cs/0609045: (2006)
56EEAlexander Gammerman, Vladimir Vovk: Hedging predictions in machine learning CoRR abs/cs/0611011: (2006)
55EEVladimir Vovk: Well-calibrated predictions from on-line compression models. Theor. Comput. Sci. 364(1): 10-26 (2006)
54EEIlia Nouretdinov, Vladimir Vovk: Criterion of calibration for transductive confidence machine with limited feedback. Theor. Comput. Sci. 364(1): 3-9 (2006)
2005
53EEVladimir Vovk: Non-asymptotic Calibration and Resolution. ALT 2005: 429-443
52EEVladimir Vovk: Defensive Prediction with Expert Advice. ALT 2005: 444-458
51EEVladimir Vovk, Ilia Nouretdinov, Akimichi Takemura, Glenn Shafer: Defensive Forecasting for Linear Protocols. ALT 2005: 459-473
50EEVladimir Vovk, Akimichi Takemura, Glenn Shafer: Defensive forecasting CoRR abs/cs/0505083: (2005)
49EEVladimir Vovk: Non-asymptotic calibration and resolution CoRR abs/cs/0506004: (2005)
48EEVladimir Vovk, Ilia Nouretdinov, Akimichi Takemura, Glenn Shafer: Defensive forecasting for linear protocols CoRR abs/cs/0506007: (2005)
47EEVladimir Vovk: Competitive on-line learning with a convex loss function CoRR abs/cs/0506041: (2005)
46EEVladimir Vovk: On-line regression competitive with reproducing kernel Hilbert spaces CoRR abs/cs/0511058: (2005)
45EEVladimir Vovk: Competing with wild prediction rules CoRR abs/cs/0512059: (2005)
44EEYuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin: How many strings are easy to predict? Inf. Comput. 201(1): 55-71 (2005)
2004
43EEYuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin: A Criterion for the Existence of Predictive Complexity for Binary Games. ALT 2004: 249-263
42EEAlexander Gammerman, Yuri Kalnishkan, Vladimir Vovk: On-line Prediction with Kernels and the Complexity Approximation Principle. UAI 2004: 170-176
41EEVladimir Vovk: A Universal Well-Calibrated Algorithm for On-line Classification. Journal of Machine Learning Research 5: 575-604 (2004)
40EEYuri Kalnishkan, Volodya Vovk, Michael V. Vyugin: Loss functions, complexities, and the Legendre transformation. Theor. Comput. Sci. 313(2): 195-207 (2004)
2003
39EEIlia Nouretdinov, Vladimir Vovk: Criterion of Calibration for Transductive Confidence Machine with Limited Feedback. ALT 2003: 259-267
38EEVladimir Vovk: Well-Calibrated Predictions from Online Compression Models. ALT 2003: 268-282
37EEVladimir Vovk: Universal Well-Calibrated Algorithm for On-Line Classification. COLT 2003: 358-372
36EEYuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin: How Many Strings Are Easy to Predict? COLT 2003: 522-536
35 Vladimir Vovk, Ilia Nouretdinov, Alexander Gammerman: Testing Exchangeability On-Line. ICML 2003: 768-775
34EEVladimir Vovk, Glenn Shafer, Ilia Nouretdinov: Self-calibrating Probability Forecasting. NIPS 2003
2002
33EEVladimir Vovk: Asymptotic Optimality of Transductive Confidence Machine. ALT 2002: 336-350
32EEHarris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alexander Gammerman: Inductive Confidence Machines for Regression. AMAI 2002
31EEKostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alexander Gammerman: Transductive Confidence Machines for Pattern Recognition. AMAI 2002
30EEHarris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alexander Gammerman: Inductive Confidence Machines for Regression. ECML 2002: 345-356
29EEKostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alexander Gammerman: Transductive Confidence Machines for Pattern Recognition. ECML 2002: 381-390
28EEVladimir Vovk: On-Line Confidence Machines Are Well-Calibrated. FOCS 2002: 187-196
27 Harris Papadopoulos, Vladimir Vovk, Alexander Gammerman: Qualified Prediction for Large Data Sets in the Case of Pattern Recognition. ICMLA 2002: 159-163
26 Alexander Gammerman, Volodya Vovk: Prediction algorithms and confidence measures based on algorithmic randomness theory. Theor. Comput. Sci. 287(1): 209-217 (2002)
2001
25EEYuri Kalnishkan, Michael V. Vyugin, Volodya Vovk: Loss Functions, Complexities, and the Legendre Transformation. ALT 2001: 181-189
24EEIlia Nouretdinov, Volodya Vovk, Michael V. Vyugin, Alexander Gammerman: Pattern Recognition and Density Estimation under the General i.i.d. Assumption. COLT/EuroCOLT 2001: 337-353
23EEThomas Melluish, Craig Saunders, Ilia Nouretdinov, Volodya Vovk: Comparing the Bayes and Typicalness Frameworks. ECML 2001: 360-371
22 Ilia Nouretdinov, Thomas Melluish, Volodya Vovk: Ridge Regression Confidence Machine. ICML 2001: 385-392
21EEEiji Takimoto, Akira Maruoka, Volodya Vovk: Predicting nearly as well as the best pruning of a decision tree through dynamic programming scheme. Theor. Comput. Sci. 261(1): 179-209 (2001)
20EEV. G. Vovk: Probability theory for the Brier game. Theor. Comput. Sci. 261(1): 57-79 (2001)
2000
19EECraig Saunders, Alexander Gammerman, Volodya Vovk: Computationally Efficient Transductive Machines. ALT 2000: 325-333
1999
18 Volodya Vovk, Alexander Gammerman, Craig Saunders: Machine-Learning Applications of Algorithmic Randomness. ICML 1999: 444-453
17 Craig Saunders, Alexander Gammerman, Volodya Vovk: Transduction with Confidence and Credibility. IJCAI 1999: 722-726
16 Alexander Gammerman, Vladimir Vovk: Kolmogorov Complexity: Sources, Theory and Applications. Comput. J. 42(4): 252-255 (1999)
15 Vladimir Vovk, Alexander Gammerman: Complexity Approximation Principle. Comput. J. 42(4): 318-322 (1999)
14 V. G. Vovk: Derandomizing Stochastic Prediction Strategies. Machine Learning 35(3): 247-282 (1999)
1998
13EEV. G. Vovk, Chris Watkins: Universal Portfolio Selection. COLT 1998: 12-23
12 Craig Saunders, Alexander Gammerman, Volodya Vovk: Ridge Regression Learning Algorithm in Dual Variables. ICML 1998: 515-521
11 V. G. Vovk: A Game of Prediction with Expert Advice. J. Comput. Syst. Sci. 56(2): 153-173 (1998)
1997
10 V. G. Vovk: Probability Theory for the Brier Game. ALT 1997: 323-338
9EEV. G. Vovk: Derandomizing Stochastic Prediction Strategies. COLT 1997: 32-44
8 Volodya Vovk: Competitive On-line Linear Regression. NIPS 1997
7 V. G. Vovk: Learning about the Parameter of the Bernoulli Model. J. Comput. Syst. Sci. 55(1): 96-104 (1997)
1996
6EEV. G. Vovk: Learning an Optimal Decision Strategy in an Influence Diagram with Latent Variables. COLT 1996: 110-121
1995
5EEV. G. Vovk: A Game of Prediction with Expert Advice. COLT 1995: 51-60
4 V. G. Vovk: Minimum description length estimators under the optimal coding scheme. EuroCOLT 1995: 237-251
1994
3EEV. G. Vovk: An Optimal-Control Application of Two Paradigms of On-Line Learning. COLT 1994: 98-109
1992
2 V. G. Vovk: Universal Forecasting Algorithms Inf. Comput. 96(2): 245-277 (1992)
1990
1EEV. G. Vovk: Aggregating Strategies. COLT 1990: 371-386

Coauthor Index

1Brian Burford [83]
2Alexey V. Chernov [80] [82] [84]
3Dmitry Devetyarov [83]
4Alexander Gammerman (Alex J. Gammerman) [12] [15] [16] [17] [18] [19] [24] [26] [27] [29] [30] [31] [32] [35] [42] [56] [68] [69] [74] [83]
5Yuri Kalnishkan [25] [36] [40] [42] [43] [44] [76] [80]
6Akira Maruoka [21]
7Thomas Melluish [22] [23]
8Ilia Nouretdinov [22] [23] [24] [29] [31] [34] [35] [39] [48] [51] [54] [83]
9Harris Papadopoulos [27] [30] [32] [74]
10Kostas Proedrou [29] [30] [31] [32]
11Craig Saunders [12] [17] [18] [19] [23]
12Glenn Shafer [34] [48] [50] [51] [73] [78]
13Alexander Shen [81] [82]
14Akimichi Takemura [48] [50] [51]
15Eiji Takimoto [21]
16Nikolai K. Vereshchagin [82]
17Michael V. Vyugin [24] [25] [36] [40] [43] [44] [76]
18Chris Watkins [13]
19Fedor Zhdanov [79] [80] [83]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)