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