Vladimir Vovk

Marcus Hutter, Frank Stephan, Vladimir Vovk, Thomas Zeugmann: Guest Editors' foreword. Theor. Comput. Sci. 473: 1-3 (2013)

Alexander Gammerman, Volodya Vovk, Vladimir Vapnik: Learning by Transduction. CoRR abs/1301.7375 (2013)

Vladimir Vovk: Kolmogorov's strong law of large numbers in game-theoretic probability: Reality's side. CoRR abs/1304.1074 (2013)

Vladimir Vovk: Continuous-time trading and the emergence of probability. Finance and Stochastics 16(4): 561-609 (2012)

Vladimir Vovk: Conditional validity of inductive conformal predictors. Journal of Machine Learning Research - Proceedings Track 25: 475-490 (2012)

Dmitry Devetyarov, Ilia Nouretdinov, Brian Burford, Stephane Camuzeaux, Aleksandra Gentry-Maharaj, Ali Tiss, Celia J. Smith, Zhiyuan Luo, Alexey Ya. Chervonenkis, Rachel Hallett, Volodya Vovk, Mike Waterfield, Rainer Cramer, John Timms, John Sinclair, Usha Menon, Ian Jacobs, Alexander Gammerman: Conformal predictors in early diagnostics of ovarian and breast cancers. Progress in AI 1(3): 245-257 (2012)

Dmitry Adamskiy, Wouter M. Koolen, Alexey V. Chernov, Vladimir Vovk: A Closer Look at Adaptive Regret. ALT 2012: 290-304

Wouter M. Koolen, Vladimir Vovk: Buy Low, Sell High. ALT 2012: 335-349

Valentina Fedorova, Alex J. Gammerman, Ilia Nouretdinov, Volodya Vovk: Plug-in martingales for testing exchangeability on-line. ICML 2012

Ilia Nouretdinov, Dmitry Devetyarov, Brian Burford, Stephane Camuzeaux, Aleksandra Gentry-Maharaj, Ali Tiss, Celia J. Smith, Zhiyuan Luo, Alexey Ya. Chervonenkis, Rachel Hallett, Volodya Vovk, Mike Waterfield, Rainer Cramer, John Timms, Ian Jacobs, Usha Menon, Alexander Gammerman: Multiprobabilistic Venn Predictors with Logistic Regression. AIAI (2) 2012: 224-233

Valentina Fedorova, Alexander Gammerman, Ilia Nouretdinov, Vladimir Vovk: Plug-in martingales for testing exchangeability on-line. CoRR abs/1204.3251 (2012)

Alex J. Gammerman, Yuri Kalnishkan, Vladimir Vovk: On-line Prediction with Kernels and the Complexity Approximation Principle. CoRR abs/1207.4113 (2012)

Vladimir Vovk: Cross-conformal predictors. CoRR abs/1208.0806 (2012)

Vladimir Vovk: Conditional validity of inductive conformal predictors. CoRR abs/1209.2673 (2012)

Vladimir Vovk: Venn predictors and isotonic regression. CoRR abs/1211.0025 (2012)

Harris Papadopoulos, Vladimir Vovk, Alexander Gammerman: Regression Conformal Prediction with Nearest Neighbours. J. Artif. Intell. Res. (JAIR) 40: 815-840 (2011)

Ilia Nouretdinov, Sergi G. Costafreda, Alexander Gammerman, Alexey Ya. Chervonenkis, Vladimir Vovk, Vladimir Vapnik, Cynthia H. Y. Fu: Machine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression. NeuroImage 56(2): 809-813 (2011)

Glenn Shafer, Vladimir Vovk, Roman Chychyla: How to Base Probability Theory on Perfect-Information Games. Bulletin of the EATCS 100: 115-148 (2010)

Tatsiana Levina, Yuri Levin, Jeff McGill, Mikhail Nediak, Vladimir Vovk: Weak aggregating algorithm for the distribution-free perishable inventory problem. Oper. Res. Lett. 38(6): 516-521 (2010)

Vladimir Vovk, Alexander Shen: Prequential randomness and probability. Theor. Comput. Sci. 411(29-30): 2632-2646 (2010)

Alexey V. Chernov, Yuri Kalnishkan, Fedor Zhdanov, Vladimir Vovk: Supermartingales in prediction with expert advice. Theor. Comput. Sci. 411(29-30): 2647-2669 (2010)

Marcus Hutter, Frank Stephan, Vladimir Vovk, Thomas Zeugmann: Editors' Introduction. ALT 2010: 1-10

Fedor Zhdanov, Vladimir Vovk: Competitive Online Generalized Linear Regression under Square Loss. ECML/PKDD (3) 2010: 531-546

Alexey V. Chernov, Vladimir Vovk: Prediction with Advice of Unknown Number of Experts. UAI 2010: 117-125

Marcus Hutter, Frank Stephan, Vladimir Vovk, Thomas Zeugmann (Eds.): Algorithmic Learning Theory, 21st International Conference, ALT 2010, Canberra, Australia, October 6-8, 2010. Proceedings. Lecture Notes in Computer Science 6331, Springer 2010, isbn 978-3-642-16107-0

Alexey V. Chernov, Yuri Kalnishkan, Fedor Zhdanov, Vladimir Vovk: Supermartingales in Prediction with Expert Advice. CoRR abs/1003.2218 (2010)

Alexey V. Chernov, Vladimir Vovk: Prediction with Advice of Unknown Number of Experts. CoRR abs/1006.0475 (2010)

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)

Vladimir Vovk, Fedor Zhdanov: Prediction With Expert Advice For The Brier Game. Journal of Machine Learning Research 10: 2445-2471 (2009)

Fedor Zhdanov, Vladimir Vovk, Brian Burford, Dmitry Devetyarov, Ilia Nouretdinov, Alexander Gammerman: Online Prediction of Ovarian Cancer. AIME 2009: 375-379

Alexey V. Chernov, Vladimir Vovk: Prediction with Expert Evaluators' Advice. ALT 2009: 8-22

Peter McCullagh, Vladimir Vovk, Ilia Nouretdinov, Dmitry Devetyarov, Alexander Gammerman: Conditional Prediction Intervals for Linear Regression. ICMLA 2009: 131-138

Harris Papadopoulos, Alexander Gammerman, Volodya Vovk: Confidence Predictions for the Diagnosis of Acute Abdominal Pain. AIAI 2009: 175-184

Alexey V. Chernov, Vladimir Vovk: Prediction with expert evaluators' advice. CoRR abs/0902.4127 (2009)

Fedor Zhdanov, Vladimir Vovk, Brian Burford, Dmitry Devetyarov, Ilia Nouretdinov, Alexander Gammerman: Online prediction of ovarian cancer. CoRR abs/0904.1579 (2009)

Fedor Zhdanov, Vladimir Vovk: Competing with Gaussian linear experts. CoRR abs/0910.4683 (2009)

Vladimir Vovk, Glenn Shafer: The game-theoretic capital asset pricing model. Int. J. Approx. Reasoning 49(1): 175-197 (2008)

Glenn Shafer, Vladimir Vovk: A Tutorial on Conformal Prediction. Journal of Machine Learning Research 9: 371-421 (2008)

Vladimir Vovk: Leading strategies in competitive on-line prediction. Theor. Comput. Sci. 405(3): 285-296 (2008)

Alexey V. Chernov, Alexander Shen, Nikolai K. Vereshchagin, Vladimir Vovk: On-Line Probability, Complexity and Randomness. ALT 2008: 138-153

Vladimir Vovk, Alexander Shen: Prequential Randomness. ALT 2008: 154-168

Alexey V. Chernov, Yuri Kalnishkan, Fedor Zhdanov, Vladimir Vovk: Supermartingales in Prediction with Expert Advice. ALT 2008: 199-213

Vladimir Vovk, Fedor Zhdanov: Prediction with expert advice for the Brier game. ICML 2008: 1104-1111

Alexander Gammerman, Vladimir Vovk: Hedging Predictions in Machine Learning: The Second Computer Journal Lecture. Comput. J. 50(2): 151-163 (2007)

Alexander Gammerman, Vladimir Vovk: Rejoinder Hedging Predictions in Machine Learning. Comput. J. 50(2): 173-177 (2007)

Vladimir Vovk: Competing with wild prediction rules. Machine Learning 69(2-3): 193-212 (2007)

Vladimir Vovk: Non-asymptotic calibration and resolution. Theor. Comput. Sci. 387(1): 77-89 (2007)

Yuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin: Generalised Entropy and Asymptotic Complexities of Languages. COLT 2007: 293-307

Vladimir Vovk: Competing with Stationary Prediction Strategies. COLT 2007: 439-453

Harris Papadopoulos, Volodya Vovk, Alexander Gammerman: Conformal Prediction with Neural Networks. ICTAI (2) 2007: 388-395

Glenn Shafer, Vladimir Vovk: A tutorial on conformal prediction. CoRR abs/0706.3188 (2007)

Vladimir Vovk: Defensive forecasting for optimal prediction with expert advice. CoRR abs/0708.1503 (2007)

Vladimir Vovk: Continuous and randomized defensive forecasting: unified view. CoRR abs/0708.2353 (2007)

Vladimir Vovk: Prediction with expert advice for the Brier game. CoRR abs/0710.0485 (2007)

Ilia Nouretdinov, Vladimir Vovk: Criterion of calibration for transductive confidence machine with limited feedback. Theor. Comput. Sci. 364(1): 3-9 (2006)

Vladimir Vovk: Well-calibrated predictions from on-line compression models. Theor. Comput. Sci. 364(1): 10-26 (2006)

Vladimir Vovk: Leading Strategies in Competitive On-Line Prediction. ALT 2006: 214-228

Vladimir Vovk: Predictions as Statements and Decisions. COLT 2006: 4

Vladimir Vovk: Competing with Wild Prediction Rules. COLT 2006: 559-573

Vladimir Vovk: On-Line Regression Competitive with Reproducing Kernel Hilbert Spaces. TAMC 2006: 452-463

Vladimir Vovk: Predictions as statements and decisions. CoRR abs/cs/0606093 (2006)

Vladimir Vovk: Competing with stationary prediction strategies. CoRR abs/cs/0607067 (2006)

Vladimir Vovk: Leading strategies in competitive on-line prediction. CoRR abs/cs/0607134 (2006)

Vladimir Vovk: Competing with Markov prediction strategies. CoRR abs/cs/0607136 (2006)

Vladimir Vovk: Metric entropy in competitive on-line prediction. CoRR abs/cs/0609045 (2006)

Alexander Gammerman, Vladimir Vovk: Hedging predictions in machine learning. CoRR abs/cs/0611011 (2006)

Yuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin: How many strings are easy to predict? Inf. Comput. 201(1): 55-71 (2005)

Vladimir Vovk: Non-asymptotic Calibration and Resolution. ALT 2005: 429-443

Vladimir Vovk: Defensive Prediction with Expert Advice. ALT 2005: 444-458

Vladimir Vovk, Ilia Nouretdinov, Akimichi Takemura, Glenn Shafer: Defensive Forecasting for Linear Protocols. ALT 2005: 459-473

Vladimir Vovk, Akimichi Takemura, Glenn Shafer: Defensive forecasting. CoRR abs/cs/0505083 (2005)

Vladimir Vovk: Non-asymptotic calibration and resolution. CoRR abs/cs/0506004 (2005)

Vladimir Vovk, Ilia Nouretdinov, Akimichi Takemura, Glenn Shafer: Defensive forecasting for linear protocols. CoRR abs/cs/0506007 (2005)

Vladimir Vovk: Competitive on-line learning with a convex loss function. CoRR abs/cs/0506041 (2005)

Vladimir Vovk: On-line regression competitive with reproducing kernel Hilbert spaces. CoRR abs/cs/0511058 (2005)

Vladimir Vovk: Competing with wild prediction rules. CoRR abs/cs/0512059 (2005)

Vladimir Vovk: A Universal Well-Calibrated Algorithm for On-line Classification. Journal of Machine Learning Research 5: 575-604 (2004)

Yuri Kalnishkan, Volodya Vovk, Michael V. Vyugin: Loss functions, complexities, and the Legendre transformation. Theor. Comput. Sci. 313(2): 195-207 (2004)

Yuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin: A Criterion for the Existence of Predictive Complexity for Binary Games. ALT 2004: 249-263

Alexander Gammerman, Yuri Kalnishkan, Vladimir Vovk: On-line Prediction with Kernels and the Complexity Approximation Principle. UAI 2004: 170-176

Ilia Nouretdinov, Vladimir Vovk: Criterion of Calibration for Transductive Confidence Machine with Limited Feedback. ALT 2003: 259-267

Vladimir Vovk: Well-Calibrated Predictions from Online Compression Models. ALT 2003: 268-282

Vladimir Vovk: Universal Well-Calibrated Algorithm for On-Line Classification. COLT 2003: 358-372

Yuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin: How Many Strings Are Easy to Predict? COLT 2003: 522-536

Vladimir Vovk, Ilia Nouretdinov, Alexander Gammerman: Testing Exchangeability On-Line. ICML 2003: 768-775

Vladimir Vovk, Glenn Shafer, Ilia Nouretdinov: Self-calibrating Probability Forecasting. NIPS 2003

Alexander Gammerman, Volodya Vovk: Prediction algorithms and confidence measures based on algorithmic randomness theory. Theor. Comput. Sci. 287(1): 209-217 (2002)

Vladimir Vovk: Asymptotic Optimality of Transductive Confidence Machine. ALT 2002: 336-350

Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alexander Gammerman: Inductive Confidence Machines for Regression. AMAI 2002

Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alexander Gammerman: Transductive Confidence Machines for Pattern Recognition. AMAI 2002

Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alexander Gammerman: Inductive Confidence Machines for Regression. ECML 2002: 345-356

Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alexander Gammerman: Transductive Confidence Machines for Pattern Recognition. ECML 2002: 381-390

Vladimir Vovk: On-Line Confidence Machines Are Well-Calibrated. FOCS 2002: 187-196

Harris Papadopoulos, Vladimir Vovk, Alexander Gammerman: Qualified Prediction for Large Data Sets in the Case of Pattern Recognition. ICMLA 2002: 159-163

Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alexander Gammerman: Inductive Confidence Machines for Regression. ISAIM 2002

Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alexander Gammerman: Transductive Confidence Machines for Pattern Recognition. ISAIM 2002

V. G. Vovk: Probability theory for the Brier game. Theor. Comput. Sci. 261(1): 57-79 (2001)

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)

Yuri Kalnishkan, Michael V. Vyugin, Volodya Vovk: Loss Functions, Complexities, and the Legendre Transformation. ALT 2001: 181-189

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

Thomas Melluish, Craig Saunders, Ilia Nouretdinov, Volodya Vovk: Comparing the Bayes and Typicalness Frameworks. ECML 2001: 360-371

Ilia Nouretdinov, Thomas Melluish, Volodya Vovk: Ridge Regression Confidence Machine. ICML 2001: 385-392

Craig Saunders, Alexander Gammerman, Volodya Vovk: Computationally Efficient Transductive Machines. ALT 2000: 325-333

Alexander Gammerman, Vladimir Vovk: Kolmogorov Complexity: Sources, Theory and Applications. Comput. J. 42(4): 252-255 (1999)

Vladimir Vovk, Alexander Gammerman: Complexity Approximation Principle. Comput. J. 42(4): 318-322 (1999)

V. G. Vovk: Derandomizing Stochastic Prediction Strategies. Machine Learning 35(3): 247-282 (1999)

Volodya Vovk, Alexander Gammerman, Craig Saunders: Machine-Learning Applications of Algorithmic Randomness. ICML 1999: 444-453

Craig Saunders, Alexander Gammerman, Volodya Vovk: Transduction with Confidence and Credibility. IJCAI 1999: 722-726

V. G. Vovk: A Game of Prediction with Expert Advice. J. Comput. Syst. Sci. 56(2): 153-173 (1998)

V. G. Vovk, Chris Watkins: Universal Portfolio Selection. COLT 1998: 12-23

Craig Saunders, Alexander Gammerman, Volodya Vovk: Ridge Regression Learning Algorithm in Dual Variables. ICML 1998: 515-521

V. G. Vovk: Learning about the Parameter of the Bernoulli Model. J. Comput. Syst. Sci. 55(1): 96-104 (1997)

V. G. Vovk: Probability Theory for the Brier Game. ALT 1997: 323-338

V. G. Vovk: Derandomizing Stochastic Prediction Strategies. COLT 1997: 32-44

Volodya Vovk: Competitive On-line Linear Regression. NIPS 1997

V. G. Vovk: Learning an Optimal Decision Strategy in an Influence Diagram with Latent Variables. COLT 1996: 110-121

V. G. Vovk: A Game of Prediction with Expert Advice. COLT 1995: 51-60

V. G. Vovk: Minimum description length estimators under the optimal coding scheme. EuroCOLT 1995: 237-251

V. G. Vovk: An Optimal-Control Application of Two Paradigms of On-Line Learning. COLT 1994: 98-109

V. G. Vovk: Universal Forecasting Algorithms. Inf. Comput. 96(2): 245-277 (1992)

V. G. Vovk: Aggregating Strategies. COLT 1990: 371-386