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ORCIDVladimir Vovk
Volodya Vovk – V. G. Vovk
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- affiliation: Royal Holloway University of London, Computer Learning Research Centre, UK
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2020 – today
- 2024
[e19]Anatoly Anisimov, Vitaliy Snytyuk, Aldrich Chris, Andreas Pester, Frédéric Mallet, Hiroshi Tanaka, Iurii Krak, Karsten Henke, Oleg Chertov, Oleksandr Marchenko, Sándor Bozóki, Vitaliy Tsyganok, Vladimir Vovk:
Selected Papers of the X International Scientific Conference "Information Technology and Implementation" (IT&I-2023). Workshop Proceedings, Kyiv, Ukraine, November 20-21, 2023. CEUR Workshop Proceedings 3646, CEUR-WS.org 2024 [contents]- 2023
- [c88]Vladimir Vovk:
The power of forgetting in statistical hypothesis testing. COPA 2023: 347-366 - [e18]Peter Bidyuk, Yevgeniy V. Bodyanskiy, Sándor Bozóki, Leonid Hulianytskyi, Roth Hubert, Stan Lipovetsky, Mykola Malyar, Krassimir Markov, Nataliya D. Pankratova, Ivan Sergienko, Vitaliy Snytyuk, Mariya A. Sodenkamp, Yurii Stoyan, Vitaliy V. Tsyganok, Oleksii Voloshyn, Vladimir Vovk, Sergey Yakovlev, Yuriy P. Zaychenko, Michael Zgurovsky:
Selected Papers of the III International Scientific Symposium "Intelligent Solutions" (IntSol-2023). Symposium Proceedings Kyiv - Uzhhorod, Ukraine, September 27-28, 2023., Kyiv - Uzhhorod, Ukraine, September 27-28, 2023. CEUR Workshop Proceedings 3538, CEUR-WS.org 2023 [contents] - [e17]Anatoly Anisimov, Vitaliy Snytyuk, Aldrich Chris, Andreas Pester, Frédéric Mallet, Hiroshi Tanaka, Iurii Krak, Karsten Henke, Oleg Chertov, Oleksandr Marchenko, Sándor Bozóki, Vitaliy V. Tsyganok, Vladimir Vovk:
Selected Papers of the IX International Scientific Conference "Information Technology and Implementation" (IT&I-2022). Conference Proceedings Kyiv, Ukraine, November 30 - December 02, 2022. CEUR Workshop Proceedings 3347, CEUR-WS.org 2023 [contents] - [e16]Anatoly Anisimov, Vitaliy Snytyuk, Aldrich Chris, Andreas Pester, Frédéric Mallet, Hiroshi Tanaka, Iurii Krak, Karsten Henke, Oleg Chertov, Oleksandr Marchenko, Sándor Bozóki, Vitaliy V. Tsyganok, Vladimir Vovk:
Selected Papers of the IX International Scientific Conference "Information Technology and Implementation" (IT&I-2022), Workshop Proceedings, Kyiv, Ukraine, November 30 - December 02, 2022. CEUR Workshop Proceedings 3384, CEUR-WS.org 2023 [contents] - [i51]Vladimir Vovk:
Logic of subjective probability. CoRR abs/2309.01173 (2023) - 2022
- [j60]John C. Aldrich, A. Philip Dawid, Thierry Denoeux
, Prakash P. Shenoy, Vladimir Vovk:
Probability and statistics: Foundations and history. Special Issue in honor of Glenn Shafer. Int. J. Approx. Reason. 141: 1-4 (2022) - [j59]John C. Aldrich, A. Philip Dawid, Thierry Denoeux, Prakash P. Shenoy, Vladimir Vovk:
Glenn Shafer - A short biography. Int. J. Approx. Reason. 141: 5-10 (2022) - [j58]Vladimir Vovk:
Universal predictive systems. Pattern Recognit. 126: 108536 (2022) - [j57]Alexander Gammerman, Vladimir Vovk, Marco Cristani:
Special Issue on Conformal and Probabilistic Prediction with Applications: Preface. Pattern Recognit. 126: 108561 (2022) - [c87]Vladimir Vovk, Ilia Nouretdinov, Alex Gammerman:
Conformal testing: binary case with Markov alternatives. COPA 2022: 207-218 - [e15]Peter Bidyuk, Yevgeniy V. Bodyanskiy, Sándor Bozóki, Leonid Hulianytskyi, Hubert Roth, Stan Lipovetsky, Mykola Malyar, Krassimir Markov, Nataliya D. Pankratova, Ivan Sergienko, Vitaliy Snytyuk, Mariya A. Sodenkamp, Yurii Stoyan, Vitaliy V. Tsyganok, Oleksii Voloshyn, Vladimir Vovk, Sergey Yakovlev, Yuriy P. Zaychenko, Michael Zgurovsky:
Selected Papers of the II International Scientific Symposium "Intelligent Solutions" (IntSol-2021). Workshop Proceedings, Kyiv - Uzhhorod, Ukraine, September 28-30, 2021. CEUR Workshop Proceedings 3106, CEUR-WS.org 2022 [contents] - [e14]Anatoly Anisimov, Vitaliy Snytyuk, Chris Aldrich, Andreas Pester, Frédéric Mallet, Hiroshi Tanaka, Iurii Krak, Karsten Henke, Mykola Nikitchenko, Oleg Chertov, Oleksandr Marchenko, Sándor Bozóki, Vitaliy V. Tsyganok, Vladimir Vovk:
Selected Papers of the VIII International Scientific Conference "Information Technology and Implementation" (IT&I-2021). Conference Proceedings, Kyiv, Ukraine, December 01-03, 2021. CEUR Workshop Proceedings 3132, CEUR-WS.org 2022 [contents] - [e13]Anatoly Anisimov, Vitaliy Snytyuk, Chris Aldrich, Andreas Pester, Frédéric Mallet, Hiroshi Tanaka, Iurii Krak, Karsten Henke, Mykola Nikitchenko, Oleg Chertov, Oleksandr Marchenko, Sándor Bozóki, Vitaliy V. Tsyganok, Vladimir Vovk:
Selected Papers of the VIII International Scientific Conference "Information Technology and Implementation" (IT&I-2021), Workshop Proceedings, Kyiv, Ukraine, December 1-3, 2021. CEUR Workshop Proceedings 3179, CEUR-WS.org 2022 [contents] - [e12]Anatoly Anisimov, Vitaliy Snytyuk, Aldrich Chris, Andreas Pester, Frédéric Mallet, Hiroshi Tanaka, Iurii Krak, Karsten Henke, Oleg Chertov, Oleksandr Marchenko, Sándor Bozóki, Vitaliy Tsyganok, Vladimir Vovk:
Selected Papers of the X International Scientific Conference "Information Technology and Implementation" (IT&I-2023). Conference Proceedings, Kyiv, Ukraine, November 20 - 21, 2023. CEUR Workshop Proceedings 3624, CEUR-WS.org 2022 [contents] - [i50]Aaditya Ramdas, Peter Grünwald, Vladimir Vovk, Glenn Shafer:
Game-theoretic statistics and safe anytime-valid inference. CoRR abs/2210.01948 (2022) - 2021
- [c86]Vladimir Vovk:
Conformal testing in a binary model situation. COPA 2021: 131-150 - [c85]Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Ernst Ahlberg, Lars Carlsson, Alex Gammerman:
Retrain or not retrain: conformal test martingales for change-point detection. COPA 2021: 191-210 - [c84]Vladimir Vovk, Ivan Petej, Alex Gammerman:
Protected probabilistic classification. COPA 2021: 297-299 - [c83]Ilia Nouretdinov, Vladimir Vovk, Alex Gammerman:
Conformal changepoint detection in continuous model situations. COPA 2021: 300-302 - [e11]Peter Bidyuk, Yevgeniy V. Bodyanskiy, Sándor Bozóki, Leonid Hulianytskyi, Hubert Roth, Stan Lipovetsky, Mykola Malyar, Krassimir Markov, Nataliya D. Pankratova, Ivan Sergienko, Vitaliy Snytyuk, Mariya A. Sodenkamp, Yurii Stoyan, Vitaliy V. Tsyganok, Oleksii Voloshyn, Vladimir Vovk, Sergey Yakovlev, Yuriy P. Zaychenko, Michael Zgurovsky:
Proceedings of the II International Scientific Symposium "Intelligent Solutions" (IntSol-2021), Kyiv-Uzhhorod, Ukraine, September 28-30, 2021. CEUR Workshop Proceedings 3018, CEUR-WS.org 2021 [contents] - [e10]Vitaliy Snytyuk, Anatoly Anisimov, Iurii Krak, Mykola Nikitchenko, Oleksandr Marchenko, Frédéric Mallet, Vitaliy V. Tsyganok, Chris Aldrich, Andreas Pester, Hiroshi Tanaka, Karsten Henke, Oleg Chertov, Sándor Bozóki, Vladimir Vovk:
Selected Papers of the 7th International Conference "Information Technology and Interactions" (IT&I-2020). Conferece Proceedings, Kyiv, Ukraine, December 02-03, 2020. CEUR Workshop Proceedings 2833, CEUR-WS.org 2021 [contents] - [e9]Vitaliy Snytyuk, Anatoly Anisimov, Iurii Krak, Mykola Nikitchenko, Oleksandr Marchenko, Frédéric Mallet, Vitaliy V. Tsyganok, Chris Aldrich, Andreas Pester, Hiroshi Tanaka, Karsten Henke, Oleg Chertov, Sándor Bozóki, Vladimir Vovk:
Proceedings of the 7th International Conference "Information Technology and Interactions" (IT&I-2020). Workshops Proceedings, Kyiv, Ukraine, December 02-03, 2020. CEUR Workshop Proceedings 2845, CEUR-WS.org 2021 [contents] - [i49]Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Ernst Ahlberg, Lars Carlsson, Alex Gammerman:
Retrain or not retrain: Conformal test martingales for change-point detection. CoRR abs/2102.10439 (2021) - [i48]Vladimir Vovk:
Conformal testing in a binary model situation. CoRR abs/2104.01885 (2021) - [i47]Vladimir Vovk:
Enhancement of prediction algorithms by betting. CoRR abs/2105.08669 (2021) - [i46]Vladimir Vovk, Ivan Petej, Alex Gammerman:
Adaptive calibration for binary classification. CoRR abs/2107.01726 (2021) - [i45]Vladimir Vovk, Ilia Nouretdinov, Alex Gammerman:
Conformal testing: binary case with Markov alternatives. CoRR abs/2111.01885 (2021) - 2020
- [j56]Alex Gammerman, Vladimir Vovk, Zhiyuan Luo, Evgueni N. Smirnov, Ralf Peeters:
Special Issue on Conformal and Probabilistic Prediction with Applications. Neurocomputing 397: 264-265 (2020) - [j55]Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Valery Manokhin, Alexander Gammerman:
Computationally efficient versions of conformal predictive distributions. Neurocomputing 397: 292-308 (2020) - [c82]Vladimir Vovk:
Non-Algorithmic Theory of Randomness. Fields of Logic and Computation III 2020: 323-340 - [c81]Nicolò Colombo, Vladimir Vovk:
Training conformal predictors. COPA 2020: 55-64 - [c80]Vladimir Vovk, Ivan Petej, Paolo Toccaceli, Alexander Gammerman, Ernst Ahlberg, Lars Carlsson:
Conformal calibrators. COPA 2020: 84-99 - [e8]Alexander Gammerman, Vladimir Vovk, Zhiyuan Luo, Evgueni N. Smirnov, Giovanni Cherubin, Marco Christini:
Conformal and Probabilistic Prediction and Applications, COPA 2020, 9-11 September 2020, Virtual Event. Proceedings of Machine Learning Research 128, PMLR 2020 [contents] - [i44]Vladimir Vovk:
Cross-conformal e-prediction. CoRR abs/2001.05989 (2020) - [i43]Nicolò Colombo, Vladimir Vovk:
Training conformal predictors. CoRR abs/2005.07037 (2020) - [i42]Vladimir Vovk:
Testing for concept shift online. CoRR abs/2012.14246 (2020)
2010 – 2019
- 2019
- [j54]Alexander Gammerman, Vladimir Vovk, Henrik Boström, Lars Carlsson:
Conformal and probabilistic prediction with applications: editorial. Mach. Learn. 108(3): 379-380 (2019) - [j53]Vladimir Vovk, Jieli Shen, Valery Manokhin, Min-ge Xie:
Nonparametric predictive distributions based on conformal prediction. Mach. Learn. 108(3): 445-474 (2019) - [c79]Yuri Gurevich, Vladimir Vovk:
Test statistics and p-values. COPA 2019: 89-104 - [c78]Vladimir Vovk:
Universally Consistent Conformal Predictive Distributions. COPA 2019: 105-122 - [e7]Alex Gammerman, Vladimir Vovk, Zhiyuan Luo, Evgueni N. Smirnov:
Conformal and Probabilistic Prediction and Applications, COPA 2019, 9-11 September 2019, Golden Sands, Bulgaria. Proceedings of Machine Learning Research 105, PMLR 2019 [contents] - [i41]Vladimir Vovk, Ivan Petej, Paolo Toccaceli, Alex Gammerman:
Conformal calibrators. CoRR abs/1902.06579 (2019) - [i40]Vladimir Vovk:
Power and limitations of conformal martingales. CoRR abs/1906.09256 (2019) - [i39]Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Valery Manokhin, Alex Gammerman:
Computationally efficient versions of conformal predictive distributions. CoRR abs/1911.00941 (2019) - 2018
- [c77]Vladimir Vovk, Ilia Nouretdinov, Valery Manokhin, Alexander Gammerman:
Cross-conformal predictive distributions. COPA 2018: 37-51 - [c76]Vladimir Vovk, Claus Bendtsen:
Conformal predictive decision making. COPA 2018: 52-62 - [e6]Alex Gammerman, Vladimir Vovk, Zhiyuan Luo, Evgueni N. Smirnov, Ralf L. M. Peeters:
7th Symposium on Conformal and Probabilistic Prediction and Applications, COPA 2018, 11-13 June 2018, Maastricht, The Netherlands. Proceedings of Machine Learning Research 91, PMLR 2018 [contents] - 2017
- [j52]Alexander Gammerman, Vladimir Vovk:
Foreword to this special issue: conformal and probabilistic prediction with applications. Ann. Math. Artif. Intell. 81(1-2): 1-2 (2017) - [j51]Vladimir Vovk, Ilia Nouretdinov, Valentina Fedorova, Ivan Petej, Alex Gammerman:
Criteria of efficiency for set-valued classification. Ann. Math. Artif. Intell. 81(1-2): 21-46 (2017) - [j50]Vladimir Vovk, Dusko Pavlovic:
Universal probability-free prediction. Ann. Math. Artif. Intell. 81(1-2): 47-70 (2017) - [j49]Vladimir Vovk:
The role of measurability in game-theoretic probability. Finance Stochastics 21(3): 719-739 (2017) - [c75]Vladimir Vovk, Ilia Nouretdinov, Valery Manokhin, Alex Gammerman:
Conformal Predictive Distributions with Kernels. Braverman Readings in Machine Learning 2017: 103-121 - [c74]Vladimir Vovk, Jieli Shen, Valery Manokhin, Min-ge Xie:
Nonparametric predictive distributions based on conformal prediction. COPA 2017: 82-102 - [c73]Denis Volkhonskiy, Evgeny Burnaev, Ilia Nouretdinov, Alexander Gammerman, Vladimir Vovk:
Inductive Conformal Martingales for Change-Point Detection. COPA 2017: 132-153 - [e5]Alex Gammerman, Vladimir Vovk, Zhiyuan Luo, Harris Papadopoulos:
Conformal and Probabilistic Prediction and Applications, COPA 2017, 13-16 June 2017, Stockholm, Sweden. Proceedings of Machine Learning Research 60, PMLR 2017 [contents] - [i38]Vladimir Vovk:
Universally consistent predictive distributions. CoRR abs/1708.01902 (2017) - [i37]Vladimir Vovk, Ilia Nouretdinov, Valery Manokhin, Alex Gammerman:
Conformal predictive distributions with kernels. CoRR abs/1710.08894 (2017) - 2016
- [j48]Yuri Gurevich, Vladimir Vovk:
Fundamentals of p-values: Introduction. Bull. EATCS 119 (2016) - [j47]Dmitry Adamskiy, Wouter M. Koolen, Alexey V. Chernov, Vladimir Vovk:
A Closer Look at Adaptive Regret. J. Mach. Learn. Res. 17: 23:1-23:21 (2016) - [c72]Amit Deo, Santanu Kumar Dash, Guillermo Suarez-Tangil, Volodya Vovk, Lorenzo Cavallaro:
Prescience: Probabilistic Guidance on the Retraining Conundrum for Malware Detection. AISec@CCS 2016: 71-82 - [c71]Vladimir Vovk, Valentina Fedorova, Ilia Nouretdinov, Alexander Gammerman:
Criteria of Efficiency for Conformal Prediction. COPA 2016: 23-39 - [c70]Vladimir Vovk, Dusko Pavlovic:
Universal Probability-Free Conformal Prediction. COPA 2016: 40-47 - [e4]Alexander Gammerman, Zhiyuan Luo, Jesús Vega, Vladimir Vovk:
Conformal and Probabilistic Prediction with Applications - 5th International Symposium, COPA 2016, Madrid, Spain, April 20-22, 2016, Proceedings. Lecture Notes in Computer Science 9653, Springer 2016, ISBN 978-3-319-33394-6 [contents] - [i36]Vladimir Vovk, Dusko Pavlovic:
Universal probability-free conformal prediction. CoRR abs/1603.04283 (2016) - [i35]Vladimir Vovk, Valentina Fedorova, Ilia Nouretdinov, Alex Gammerman:
Criteria of efficiency for conformal prediction. CoRR abs/1603.04416 (2016) - 2015
- [j46]Harris Papadopoulos, Vladimir Vovk, Alexander Gammerman:
Guest editors' preface to the special issue on conformal prediction and its applications. Ann. Math. Artif. Intell. 74(1-2): 1-7 (2015) - [j45]Vladimir Vovk:
Cross-conformal predictors. Ann. Math. Artif. Intell. 74(1-2): 9-28 (2015) - [j44]Ilia Nouretdinov, Dmitry Devetyarov, Volodya Vovk, Brian Burford, Stephane Camuzeaux, Aleksandra Gentry-Maharaj, Ali Tiss, Celia J. Smith, Zhiyuan Luo, Alexey Ya. Chervonenkis, Rachel Hallett, Mike Waterfield, Rainer Cramer, John F. Timms, Ian Jacobs, Usha Menon, Alex Gammerman:
Multiprobabilistic prediction in early medical diagnoses. Ann. Math. Artif. Intell. 74(1-2): 203-222 (2015) - [j43]Vladimir Vovk:
Transductive Conformal Prediction. Int. J. Artif. Intell. Tools 24(6): 1560001:1-1560001:21 (2015) - [j42]Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov, Vladimir Vovk:
Hypergraphical Conformal Predictors. Int. J. Artif. Intell. Tools 24(6): 1560003:1-1560003:24 (2015) - [j41]Alex Gammerman, Vladimir Vovk:
Preface to this special issue. J. Mach. Learn. Res. 16: 1677-1681 (2015) - [j40]Alex Gammerman, Vladimir Vovk:
Alexey Chervonenkis's bibliography: introductory comments. J. Mach. Learn. Res. 16: 2051-2066 (2015) - [j39]Alex Gammerman, Vladimir Vovk:
Alexey Chervonenkis's bibliography. J. Mach. Learn. Res. 16: 2067-2080 (2015) - [c69]Vladimir Vovk:
The Fundamental Nature of the Log Loss Function. Fields of Logic and Computation II 2015: 307-318 - [c68]Vladimir Vovk, Ivan Petej, Valentina Fedorova:
Large-scale probabilistic predictors with and without guarantees of validity. NIPS 2015: 892-900 - [e3]Alexander Gammerman, Vladimir Vovk, Harris Papadopoulos:
Statistical Learning and Data Sciences - Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings. Lecture Notes in Computer Science 9047, Springer 2015, ISBN 978-3-319-17090-9 [contents] - [i34]Vladimir Vovk:
The fundamental nature of the log loss function. CoRR abs/1502.06254 (2015) - [i33]Vladimir Vovk, Ivan Petej, Valentina Fedorova:
Large-scale probabilistic predictors with and without guarantees of validity. CoRR abs/1511.00213 (2015) - 2014
- [j38]Yong Zhang, Vladimir Vovk, Weiguo Zhang:
Probability-free solutions to the non-stationary newsvendor problem. Ann. Oper. Res. 223(1): 433-449 (2014) - [j37]Yuri Kalnishkan, Michael V. Vyugin, Vladimir Vovk:
Generalised entropies and asymptotic complexities of languages. Inf. Comput. 237: 101-141 (2014) - [j36]Wouter M. Koolen, Vladimir Vovk:
Buy low, sell high. Theor. Comput. Sci. 558: 144-158 (2014) - [c67]Evgeny Burnaev, Vladimir Vovk:
Efficiency of conformalized ridge regression. COLT 2014: 605-622 - [c66]Vladimir Vovk, Ivan Petej, Valentina Fedorova:
From Conformal to Probabilistic Prediction. AIAI Workshops 2014: 221-230 - [c65]Vladimir Vovk, Ivan Petej:
Venn-Abers Predictors. UAI 2014: 829-838 - [i32]Harris Papadopoulos, Vladimir Vovk, Alex Gammerman:
Regression Conformal Prediction with Nearest Neighbours. CoRR abs/1401.3880 (2014) - [i31]Evgeny Burnaev, Vladimir Vovk:
Efficiency of conformalized ridge regression. CoRR abs/1404.2083 (2014) - [i30]Vladimir Vovk, Ivan Petej, Valentina Fedorova:
From conformal to probabilistic prediction. CoRR abs/1406.5600 (2014) - [i29]Alexey V. Chernov, Vladimir Vovk:
Prediction with Advice of Unknown Number of Experts. CoRR abs/1408.2040 (2014) - 2013
- [j35]Vladimir Vovk:
Conditional validity of inductive conformal predictors. Mach. Learn. 92(2-3): 349-376 (2013) - [j34]Marcus Hutter, Frank Stephan, Vladimir Vovk, Thomas Zeugmann:
Guest Editors' foreword. Theor. Comput. Sci. 473: 1-3 (2013) - [c64]Vladimir Vovk:
Kernel Ridge Regression. Empirical Inference 2013: 105-116 - [c63]Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov, Vladimir Vovk:
Conformal Prediction under Hypergraphical Models. ICCSW 2013: 27-34 - [c62]Vladimir Vovk:
Transductive conformal predictors. AIAI 2013: 348-360 - [c61]Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov, Vladimir Vovk:
Conformal Prediction under Hypergraphical Models. AIAI 2013: 371-383 - [e2]Bernhard Schölkopf, Zhiyuan Luo, Vladimir Vovk:
Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik. Springer 2013, ISBN 978-3-642-41135-9 [contents] - [i28]Alex Gammerman, Volodya Vovk, Vladimir Vapnik:
Learning by Transduction. CoRR abs/1301.7375 (2013) - [i27]Vladimir Vovk:
Kolmogorov's strong law of large numbers in game-theoretic probability: Reality's side. CoRR abs/1304.1074 (2013) - 2012
- [j33]Vladimir Vovk:
Continuous-time trading and the emergence of probability. Finance Stochastics 16(4): 561-609 (2012) - [j32]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, Alex Gammerman:
Conformal predictors in early diagnostics of ovarian and breast cancers. Prog. Artif. Intell. 1(3): 245-257 (2012) - [c60]Dmitry Adamskiy, Wouter M. Koolen, Alexey V. Chernov, Vladimir Vovk:
A Closer Look at Adaptive Regret. ALT 2012: 290-304 - [c59]Wouter M. Koolen, Vladimir Vovk:
Buy Low, Sell High. ALT 2012: 335-349 - [c58]Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov, Volodya Vovk:
Plug-in martingales for testing exchangeability on-line. ICML 2012 - [c57]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 - [c56]Vladimir Vovk:
Conditional validity of inductive conformal predictors. ACML 2012: 475-490 - [i26]Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov, Vladimir Vovk:
Plug-in martingales for testing exchangeability on-line. CoRR abs/1204.3251 (2012) - [i25]Alex Gammerman, Yuri Kalnishkan, Vladimir Vovk:
On-line Prediction with Kernels and the Complexity Approximation Principle. CoRR abs/1207.4113 (2012) - [i24]Vladimir Vovk:
Cross-conformal predictors. CoRR abs/1208.0806 (2012) - [i23]Vladimir Vovk:
Conditional validity of inductive conformal predictors. CoRR abs/1209.2673 (2012) - [i22]Vladimir Vovk:
Venn predictors and isotonic regression. CoRR abs/1211.0025 (2012) - 2011
- [j31]Harris Papadopoulos, Vladimir Vovk, Alex Gammerman:
Regression Conformal Prediction with Nearest Neighbours. J. Artif. Intell. Res. 40: 815-840 (2011) - [j30]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) - 2010
- [j29]Glenn Shafer, Vladimir Vovk, Roman Chychyla:
How to Base Probability Theory on Perfect-Information Games. Bull. EATCS 100: 115-148 (2010) - [j28]Alex Gammerman, Vladimir Vovk:
Prédictions contrôlées en apprentissage automatique. Monde des Util. Anal. Données 42: 16-33 (2010) - [j27]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) - [j26]Vladimir Vovk, Alexander Shen:
Prequential randomness and probability. Theor. Comput. Sci. 411(29-30): 2632-2646 (2010) - [j25]Alexey V. Chernov, Yuri Kalnishkan, Fedor Zhdanov, Vladimir Vovk:
Supermartingales in prediction with expert advice. Theor. Comput. Sci. 411(29-30): 2647-2669 (2010) - [c55]Marcus Hutter, Frank Stephan, Vladimir Vovk, Thomas Zeugmann:
Editors' Introduction. ALT 2010: 1-10 - [c54]Fedor Zhdanov, Vladimir Vovk:
Competitive Online Generalized Linear Regression under Square Loss. ECML/PKDD (3) 2010: 531-546 - [c53]Alexey V. Chernov, Vladimir Vovk:
Prediction with Advice of Unknown Number of Experts. UAI 2010: 117-125 - [e1]Marcus Hutter, Frank Stephan, Vladimir Vovk, Thomas Zeugmann:
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 [contents] - [i21]Alexey V. Chernov, Yuri Kalnishkan, Fedor Zhdanov, Vladimir Vovk:
Supermartingales in Prediction with Expert Advice. CoRR abs/1003.2218 (2010) - [i20]Alexey V. Chernov, Vladimir Vovk:
Prediction with Advice of Unknown Number of Experts. CoRR abs/1006.0475 (2010)
2000 – 2009
- 2009
- [j24]Alex 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) - [j23]Vladimir Vovk, Fedor Zhdanov:
Prediction With Expert Advice For The Brier Game. J. Mach. Learn. Res. 10: 2445-2471 (2009) - [c52]Fedor Zhdanov, Vladimir Vovk, Brian Burford, Dmitry Devetyarov, Ilia Nouretdinov, Alex Gammerman:
Online Prediction of Ovarian Cancer. AIME 2009: 375-379 - [c51]Alexey V. Chernov, Vladimir Vovk:
Prediction with Expert Evaluators' Advice. ALT 2009: 8-22 - [c50]Peter McCullagh, Vladimir Vovk, Ilia Nouretdinov, Dmitry Devetyarov, Alex Gammerman:
Conditional Prediction Intervals for Linear Regression. ICMLA 2009: 131-138 - [c49]Harris Papadopoulos, Alex Gammerman, Volodya Vovk:
Confidence Predictions for the Diagnosis of Acute Abdominal Pain. AIAI 2009: 175-184 - [i19]Alexey V. Chernov, Vladimir Vovk:
Prediction with expert evaluators' advice. CoRR abs/0902.4127 (2009) - [i18]Fedor Zhdanov, Vladimir Vovk, Brian Burford, Dmitry Devetyarov, Ilia Nouretdinov, Alex Gammerman:
Online prediction of ovarian cancer. CoRR abs/0904.1579 (2009) - [i17]Fedor Zhdanov, Vladimir Vovk:
Competing with Gaussian linear experts. CoRR abs/0910.4683 (2009) - 2008
- [j22]Vladimir Vovk, Glenn Shafer:
The game-theoretic capital asset pricing model. Int. J. Approx. Reason. 49(1): 175-197 (2008) - [j21]Glenn Shafer, Vladimir Vovk:
A Tutorial on Conformal Prediction. J. Mach. Learn. Res. 9: 371-421 (2008) - [j20]Vladimir Vovk:
Leading strategies in competitive on-line prediction. Theor. Comput. Sci. 405(3): 285-296 (2008) - [c48]Alexey V. Chernov, Alexander Shen, Nikolai K. Vereshchagin, Vladimir Vovk:
On-Line Probability, Complexity and Randomness. ALT 2008: 138-153 - [c47]Vladimir Vovk, Alexander Shen:
Prequential Randomness. ALT 2008: 154-168 - [c46]Alexey V. Chernov, Yuri Kalnishkan, Fedor Zhdanov, Vladimir Vovk:
Supermartingales in Prediction with Expert Advice. ALT 2008: 199-213 - [c45]Vladimir Vovk, Fedor Zhdanov:
Prediction with expert advice for the Brier game. ICML 2008: 1104-1111 - 2007
- [j19]Alexander Gammerman, Vladimir Vovk:
Hedging Predictions in Machine Learning: The Second Computer Journal Lecture. Comput. J. 50(2): 151-163 (2007) - [j18]Alexander Gammerman, Vladimir Vovk:
Rejoinder Hedging Predictions in Machine Learning. Comput. J. 50(2): 173-177 (2007) - [j17]Vladimir Vovk:
Competing with wild prediction rules. Mach. Learn. 69(2-3): 193-212 (2007) - [j16]Vladimir Vovk:
Non-asymptotic calibration and resolution. Theor. Comput. Sci. 387(1): 77-89 (2007) - [c44]Yuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin:
Generalised Entropy and Asymptotic Complexities of Languages. COLT 2007: 293-307 - [c43]Vladimir Vovk:
Competing with Stationary Prediction Strategies. COLT 2007: 439-453 - [c42]Harris Papadopoulos, Volodya Vovk, Alex Gammerman:
Conformal Prediction with Neural Networks. ICTAI (2) 2007: 388-395 - [i16]Glenn Shafer, Vladimir Vovk:
A tutorial on conformal prediction. CoRR abs/0706.3188 (2007) - [i15]Vladimir Vovk:
Defensive forecasting for optimal prediction with expert advice. CoRR abs/0708.1503 (2007) - [i14]Vladimir Vovk:
Continuous and randomized defensive forecasting: unified view. CoRR abs/0708.2353 (2007) - [i13]Vladimir Vovk:
Prediction with expert advice for the Brier game. CoRR abs/0710.0485 (2007) - 2006
- [j15]Ilia Nouretdinov, Vladimir Vovk:
Criterion of calibration for transductive confidence machine with limited feedback. Theor. Comput. Sci. 364(1): 3-9 (2006) - [j14]Vladimir Vovk:
Well-calibrated predictions from on-line compression models. Theor. Comput. Sci. 364(1): 10-26 (2006) - [c41]Vladimir Vovk:
Leading Strategies in Competitive On-Line Prediction. ALT 2006: 214-228 - [c40]Vladimir Vovk:
Predictions as Statements and Decisions. COLT 2006: 4 - [c39]Vladimir Vovk:
Competing with Wild Prediction Rules. COLT 2006: 559-573 - [c38]Vladimir Vovk:
On-Line Regression Competitive with Reproducing Kernel Hilbert Spaces. TAMC 2006: 452-463 - [i12]Vladimir Vovk:
Predictions as statements and decisions. CoRR abs/cs/0606093 (2006) - [i11]Vladimir Vovk:
Competing with stationary prediction strategies. CoRR abs/cs/0607067 (2006) - [i10]Vladimir Vovk:
Leading strategies in competitive on-line prediction. CoRR abs/cs/0607134 (2006) - [i9]Vladimir Vovk:
Competing with Markov prediction strategies. CoRR abs/cs/0607136 (2006) - [i8]Vladimir Vovk:
Metric entropy in competitive on-line prediction. CoRR abs/cs/0609045 (2006) - [i7]Alexander Gammerman, Vladimir Vovk:
Hedging predictions in machine learning. CoRR abs/cs/0611011 (2006) - 2005
- [j13]Yuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin:
How many strings are easy to predict? Inf. Comput. 201(1): 55-71 (2005) - [c37]Vladimir Vovk, Akimichi Takemura, Glenn Shafer:
Defensive Forecasting. AISTATS 2005: 365-372 - [c36]Vladimir Vovk:
Non-asymptotic Calibration and Resolution. ALT 2005: 429-443 - [c35]Vladimir Vovk:
Defensive Prediction with Expert Advice. ALT 2005: 444-458 - [c34]Vladimir Vovk, Ilia Nouretdinov, Akimichi Takemura, Glenn Shafer:
Defensive Forecasting for Linear Protocols. ALT 2005: 459-473 - [i6]Vladimir Vovk, Akimichi Takemura, Glenn Shafer:
Defensive forecasting. CoRR abs/cs/0505083 (2005) - [i5]Vladimir Vovk:
Non-asymptotic calibration and resolution. CoRR abs/cs/0506004 (2005) - [i4]Vladimir Vovk, Ilia Nouretdinov, Akimichi Takemura, Glenn Shafer:
Defensive forecasting for linear protocols. CoRR abs/cs/0506007 (2005) - [i3]Vladimir Vovk:
Competitive on-line learning with a convex loss function. CoRR abs/cs/0506041 (2005) - [i2]Vladimir Vovk:
On-line regression competitive with reproducing kernel Hilbert spaces. CoRR abs/cs/0511058 (2005) - [i1]Vladimir Vovk:
Competing with wild prediction rules. CoRR abs/cs/0512059 (2005) - 2004
- [j12]Vladimir Vovk:
A Universal Well-Calibrated Algorithm for On-line Classification. J. Mach. Learn. Res. 5: 575-604 (2004) - [j11]Yuri Kalnishkan, Volodya Vovk, Michael V. Vyugin:
Loss functions, complexities, and the Legendre transformation. Theor. Comput. Sci. 313(2): 195-207 (2004) - [c33]Yuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin:
A Criterion for the Existence of Predictive Complexity for Binary Games. ALT 2004: 249-263 - [c32]Alex Gammerman, Yuri Kalnishkan, Vladimir Vovk:
On-line Prediction with Kernels and the Complexity Approximation Principle. UAI 2004: 170-176 - 2003
- [j10]V. G. Vovk, Glenn R. Shafer:
Kolmogorov's Contributions to the Foundations of Probability. Probl. Inf. Transm. 39(1): 21-31 (2003) - [c31]Ilia Nouretdinov, Vladimir Vovk:
Criterion of Calibration for Transductive Confidence Machine with Limited Feedback. ALT 2003: 259-267 - [c30]Vladimir Vovk:
Well-Calibrated Predictions from Online Compression Models. ALT 2003: 268-282 - [c29]Vladimir Vovk:
Universal Well-Calibrated Algorithm for On-Line Classification. COLT 2003: 358-372 - [c28]Yuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin:
How Many Strings Are Easy to Predict? COLT 2003: 522-536 - [c27]Vladimir Vovk, Ilia Nouretdinov, Alex Gammerman:
Testing Exchangeability On-Line. ICML 2003: 768-775 - [c26]Vladimir Vovk, Glenn Shafer, Ilia Nouretdinov:
Self-calibrating Probability Forecasting. NIPS 2003: 1133-1140 - 2002
- [j9]Alex Gammerman, Volodya Vovk:
Prediction algorithms and confidence measures based on algorithmic randomness theory. Theor. Comput. Sci. 287(1): 209-217 (2002) - [c25]Vladimir Vovk:
Asymptotic Optimality of Transductive Confidence Machine. ALT 2002: 336-350 - [c24]Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alex Gammerman:
Inductive Confidence Machines for Regression. ECML 2002: 345-356 - [c23]Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alex Gammerman:
Transductive Confidence Machines for Pattern Recognition. ECML 2002: 381-390 - [c22]Vladimir Vovk:
On-Line Confidence Machines Are Well-Calibrated. FOCS 2002: 187-196 - [c21]Harris Papadopoulos, Vladimir Vovk, Alex Gammerman:
Qualified Prediction for Large Data Sets in the Case of Pattern Recognition. ICMLA 2002: 159-163 - [c20]Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, Alex Gammerman:
Inductive Confidence Machines for Regression. AI&M 2002 - [c19]Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, Alex Gammerman:
Transductive Confidence Machines for Pattern Recognition. AI&M 2002 - 2001
- [j8]V. G. Vovk:
Probability theory for the Brier game. Theor. Comput. Sci. 261(1): 57-79 (2001) - [j7]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) - [c18]Yuri Kalnishkan, Michael V. Vyugin, Volodya Vovk:
Loss Functions, Complexities, and the Legendre Transformation. ALT 2001: 181-189 - [c17]Ilia Nouretdinov, Volodya Vovk, Michael V. Vyugin, Alex Gammerman:
Pattern Recognition and Density Estimation under the General i.i.d. Assumption. COLT/EuroCOLT 2001: 337-353 - [c16]Thomas Melluish, Craig Saunders, Ilia Nouretdinov, Volodya Vovk:
Comparing the Bayes and Typicalness Frameworks. ECML 2001: 360-371 - [c15]Ilia Nouretdinov, Thomas Melluish, Volodya Vovk:
Ridge Regression Confidence Machine. ICML 2001: 385-392 - 2000
- [c14]Craig Saunders, Alex Gammerman, Volodya Vovk:
Computationally Efficient Transductive Machines. ALT 2000: 325-333
1990 – 1999
- 1999
- [j6]Alexander Gammerman, Vladimir Vovk:
Kolmogorov Complexity: Sources, Theory and Applications. Comput. J. 42(4): 252-255 (1999) - [j5]Vladimir Vovk, Alexander Gammerman:
Complexity Approximation Principle. Comput. J. 42(4): 318-322 (1999) - [j4]V. G. Vovk:
Derandomizing Stochastic Prediction Strategies. Mach. Learn. 35(3): 247-282 (1999) - [c13]Volodya Vovk, Alexander Gammerman, Craig Saunders:
Machine-Learning Applications of Algorithmic Randomness. ICML 1999: 444-453 - [c12]Craig Saunders, Alex Gammerman, Volodya Vovk:
Transduction with Confidence and Credibility. IJCAI 1999: 722-726 - 1998
- [j3]V. G. Vovk:
A Game of Prediction with Expert Advice. J. Comput. Syst. Sci. 56(2): 153-173 (1998) - [c11]V. G. Vovk, Chris Watkins:
Universal Portfolio Selection. COLT 1998: 12-23 - [c10]Craig Saunders, Alexander Gammerman, Volodya Vovk:
Ridge Regression Learning Algorithm in Dual Variables. ICML 1998: 515-521 - [c9]Alexander Gammerman, Volodya Vovk, Vladimir Vapnik:
Learning by Transduction. UAI 1998: 148-155 - 1997
- [j2]V. G. Vovk:
Learning about the Parameter of the Bernoulli Model. J. Comput. Syst. Sci. 55(1): 96-104 (1997) - [c8]V. G. Vovk:
Probability Theory for the Brier Game. ALT 1997: 323-338 - [c7]V. G. Vovk:
Derandomizing Stochastic Prediction Strategies. COLT 1997: 32-44 - [c6]Volodya Vovk:
Competitive On-line Linear Regression. NIPS 1997: 364-370 - 1996
- [c5]V. G. Vovk:
Learning an Optimal Decision Strategy in an Influence Diagram with Latent Variables. COLT 1996: 110-121 - 1995
- [c4]V. G. Vovk:
A Game of Prediction with Expert Advice. COLT 1995: 51-60 - [c3]V. G. Vovk:
Minimum description length estimators under the optimal coding scheme. EuroCOLT 1995: 237-251 - 1994
- [c2]V. G. Vovk:
An Optimal-Control Application of Two Paradigms of On-Line Learning. COLT 1994: 98-109 - 1992
- [j1]V. G. Vovk:
Universal Forecasting Algorithms. Inf. Comput. 96(2): 245-277 (1992) - 1990
- [c1]V. G. Vovk:
Aggregating Strategies. COLT 1990: 371-386
Coauthor Index
Alex Gammerman
aka: Alexander Gammerman
aka: Alexander Gammerman
[j57] [c87] [c85] [c84] [c83] [i49] [i46] [i45] [j56] [j55] [c80] [e8] [j54] [e7] [i41] [i39] [c77] [e6] [j52] [j51] [c75] [c73] [e5] [i37] [c71] [e4] [i35] [j46] [j44] [j42] [j41] [j40] [j39] [e3] [i32] [c63] [c61] [i28] [j32] [c58] [c57] [i26] [i25] [j31] [j30] [j28] [j24] [c52] [c50] [c49] [i18] [j19] [j18] [c42] [i7] [c32] [c27] [j9] [c24] [c23] [c21] [c20] [c19] [c17] [c14] [j6] [j5] [c13] [c12] [c10] [c9]
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