Vladimir Vovk

Volodya Vovk, V. G. Vovk

	2009
88		Fedor Zhdanov, Vladimir Vovk, Brian Burford, Dmitry Devetyarov, Ilia Nouretdinov, Alexander Gammerman: Online Prediction of Ovarian Cancer. AIME 2009: 375-379
87		Alexey V. Chernov, Vladimir Vovk: Prediction with Expert Evaluators' Advice. ALT 2009: 8-22
86		Alexey V. Chernov, Vladimir Vovk: Prediction with expert evaluators' advice CoRR abs/0902.4127: (2009)
85		Fedor Zhdanov, Vladimir Vovk, Brian Burford, Dmitry Devetyarov, Ilia Nouretdinov, Alexander Gammerman: Online prediction of ovarian cancer CoRR abs/0904.1579: (2009)
84		Fedor Zhdanov, Vladimir Vovk: Competing with Gaussian linear experts CoRR abs/0910.4683: (2009)
83		Alexander Gammerman, Volodya Vovk, Brian Burford, Ilia Nouretdinov, Zhiyuan Luo, Alexey Ya. Chervonenkis, Mike Waterfield, Rainer Cramer, Paul Tempst, Josep Villanueva, Musarat Kabir, Stephane Camuzeaux, John Timms, Usha Menon, Ian Jacobs: Serum Proteomic Abnormality Predating Screen Detection of Ovarian Cancer. Comput. J. 52(3): 326-333 (2009)
	2008
82		Alexey V. Chernov, Alexander Shen, Nikolai K. Vereshchagin, Vladimir Vovk: On-Line Probability, Complexity and Randomness. ALT 2008: 138-153
81		Vladimir Vovk, Alexander Shen: Prequential Randomness. ALT 2008: 154-168
80		Alexey V. Chernov, Yuri Kalnishkan, Fedor Zhdanov, Vladimir Vovk: Supermartingales in Prediction with Expert Advice. ALT 2008: 199-213
79		Vladimir Vovk, Fedor Zhdanov: Prediction with expert advice for the Brier game. ICML 2008: 1104-1111
78		Vladimir Vovk, Glenn Shafer: The game-theoretic capital asset pricing model. Int. J. Approx. Reasoning 49(1): 175-197 (2008)
77		Vladimir Vovk: Leading strategies in competitive on-line prediction. Theor. Comput. Sci. 405(3): 285-296 (2008)
	2007
76		Yuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin: Generalised Entropy and Asymptotic Complexities of Languages. COLT 2007: 293-307
75		Vladimir Vovk: Competing with Stationary Prediction Strategies. COLT 2007: 439-453
74		Harris Papadopoulos, Volodya Vovk, Alexander Gammerman: Conformal Prediction with Neural Networks. ICTAI (2) 2007: 388-395
73		Glenn Shafer, Vladimir Vovk: A tutorial on conformal prediction CoRR abs/0706.3188: (2007)
72		Vladimir Vovk: Defensive forecasting for optimal prediction with expert advice CoRR abs/0708.1503: (2007)
71		Vladimir Vovk: Continuous and randomized defensive forecasting: unified view CoRR abs/0708.2353: (2007)
70		Vladimir Vovk: Prediction with expert advice for the Brier game CoRR abs/0710.0485: (2007)
69		Alexander Gammerman, Vladimir Vovk: Hedging Predictions in Machine Learning: The Second Computer Journal Lecture. Comput. J. 50(2): 151-163 (2007)
68		Alexander Gammerman, Vladimir Vovk: Rejoinder Hedging Predictions in Machine Learning. Comput. J. 50(2): 173-177 (2007)
67		Vladimir Vovk: Competing with wild prediction rules. Machine Learning 69(2-3): 193-212 (2007)
66		Vladimir Vovk: Non-asymptotic calibration and resolution. Theor. Comput. Sci. 387(1): 77-89 (2007)
	2006
65		Vladimir Vovk: Leading Strategies in Competitive On-Line Prediction. ALT 2006: 214-228
64		Vladimir Vovk: Predictions as Statements and Decisions. COLT 2006: 4
63		Vladimir Vovk: Competing with Wild Prediction Rules. COLT 2006: 559-573
62		Vladimir Vovk: On-Line Regression Competitive with Reproducing Kernel Hilbert Spaces. TAMC 2006: 452-463
61		Vladimir Vovk: Predictions as statements and decisions CoRR abs/cs/0606093: (2006)
60		Vladimir Vovk: Competing with stationary prediction strategies CoRR abs/cs/0607067: (2006)
59		Vladimir Vovk: Leading strategies in competitive on-line prediction CoRR abs/cs/0607134: (2006)
58		Vladimir Vovk: Competing with Markov prediction strategies CoRR abs/cs/0607136: (2006)
57		Vladimir Vovk: Metric entropy in competitive on-line prediction CoRR abs/cs/0609045: (2006)
56		Alexander Gammerman, Vladimir Vovk: Hedging predictions in machine learning CoRR abs/cs/0611011: (2006)
55		Vladimir Vovk: Well-calibrated predictions from on-line compression models. Theor. Comput. Sci. 364(1): 10-26 (2006)
54		Ilia Nouretdinov, Vladimir Vovk: Criterion of calibration for transductive confidence machine with limited feedback. Theor. Comput. Sci. 364(1): 3-9 (2006)
	2005
53		Vladimir Vovk: Non-asymptotic Calibration and Resolution. ALT 2005: 429-443
52		Vladimir Vovk: Defensive Prediction with Expert Advice. ALT 2005: 444-458
51		Vladimir Vovk, Ilia Nouretdinov, Akimichi Takemura, Glenn Shafer: Defensive Forecasting for Linear Protocols. ALT 2005: 459-473
50		Vladimir Vovk, Akimichi Takemura, Glenn Shafer: Defensive forecasting CoRR abs/cs/0505083: (2005)
49		Vladimir Vovk: Non-asymptotic calibration and resolution CoRR abs/cs/0506004: (2005)
48		Vladimir Vovk, Ilia Nouretdinov, Akimichi Takemura, Glenn Shafer: Defensive forecasting for linear protocols CoRR abs/cs/0506007: (2005)
47		Vladimir Vovk: Competitive on-line learning with a convex loss function CoRR abs/cs/0506041: (2005)
46		Vladimir Vovk: On-line regression competitive with reproducing kernel Hilbert spaces CoRR abs/cs/0511058: (2005)
45		Vladimir Vovk: Competing with wild prediction rules CoRR abs/cs/0512059: (2005)
44		Yuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin: How many strings are easy to predict? Inf. Comput. 201(1): 55-71 (2005)
	2004
43		Yuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin: A Criterion for the Existence of Predictive Complexity for Binary Games. ALT 2004: 249-263
42		Alexander Gammerman, Yuri Kalnishkan, Vladimir Vovk: On-line Prediction with Kernels and the Complexity Approximation Principle. UAI 2004: 170-176
41		Vladimir Vovk: A Universal Well-Calibrated Algorithm for On-line Classification. Journal of Machine Learning Research 5: 575-604 (2004)
40		Yuri Kalnishkan, Volodya Vovk, Michael V. Vyugin: Loss functions, complexities, and the Legendre transformation. Theor. Comput. Sci. 313(2): 195-207 (2004)
	2003
39		Ilia Nouretdinov, Vladimir Vovk: Criterion of Calibration for Transductive Confidence Machine with Limited Feedback. ALT 2003: 259-267
38		Vladimir Vovk: Well-Calibrated Predictions from Online Compression Models. ALT 2003: 268-282
37		Vladimir Vovk: Universal Well-Calibrated Algorithm for On-Line Classification. COLT 2003: 358-372
36		Yuri 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
34		Vladimir Vovk, Glenn Shafer, Ilia Nouretdinov: Self-calibrating Probability Forecasting. NIPS 2003
	2002
33		Vladimir Vovk: Asymptotic Optimality of Transductive Confidence Machine. ALT 2002: 336-350
32		Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alexander Gammerman: Inductive Confidence Machines for Regression. AMAI 2002
31		Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alexander Gammerman: Transductive Confidence Machines for Pattern Recognition. AMAI 2002
30		Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alexander Gammerman: Inductive Confidence Machines for Regression. ECML 2002: 345-356
29		Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alexander Gammerman: Transductive Confidence Machines for Pattern Recognition. ECML 2002: 381-390
28		Vladimir 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
25		Yuri Kalnishkan, Michael V. Vyugin, Volodya Vovk: Loss Functions, Complexities, and the Legendre Transformation. ALT 2001: 181-189
24		Ilia 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
23		Thomas 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
21		Eiji 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)
20		V. G. Vovk: Probability theory for the Brier game. Theor. Comput. Sci. 261(1): 57-79 (2001)
	2000
19		Craig 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
13		V. 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
9		V. 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
6		V. G. Vovk: Learning an Optimal Decision Strategy in an Influence Diagram with Latent Variables. COLT 1996: 110-121
	1995
5		V. 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
3		V. 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
1		V. G. Vovk: Aggregating Strategies. COLT 1990: 371-386

Coauthor Index

1	Brian Burford	[83] [85] [88]
2	Stephane Camuzeaux	[83]
3	Alexey V. Chernov	[80] [82] [86] [87]
4	Alexey Ya. Chervonenkis	[83]
5	Rainer Cramer	[83]
6	Dmitry Devetyarov	[85] [88]
7	Alexander Gammerman (Alex J. Gammerman)	[12] [15] [16] [17] [18] [19] [24] [26] [27] [29] [30] [31] [32] [35] [42] [56] [68] [69] [74] [83] [85] [88]
8	Ian Jacobs	[83]
9	Musarat Kabir	[83]
10	Yuri Kalnishkan	[25] [36] [40] [42] [43] [44] [76] [80]
11	Zhiyuan Luo	[83]
12	Akira Maruoka	[21]
13	Thomas Melluish	[22] [23]
14	Usha Menon	[83]
15	Ilia Nouretdinov	[22] [23] [24] [29] [31] [34] [35] [39] [48] [51] [54] [83] [85] [88]
16	Harris Papadopoulos	[27] [30] [32] [74]
17	Kostas Proedrou	[29] [30] [31] [32]
18	Craig Saunders	[12] [17] [18] [19] [23]
19	Glenn Shafer	[34] [48] [50] [51] [73] [78]
20	Alexander Shen	[81] [82]
21	Akimichi Takemura	[48] [50] [51]
22	Eiji Takimoto	[21]
23	Paul Tempst	[83]
24	John Timms	[83]
25	Nikolai K. Vereshchagin	[82]
26	Josep Villanueva	[83]
27	Michael V. Vyugin	[24] [25] [36] [40] [43] [44] [76]
28	Mike Waterfield	[83]
29	Chris Watkins	[13]
30	Fedor Zhdanov	[79] [80] [84] [85] [88]

Colors in the list of coauthors