Aggregating Strategies. - V. G. Vovk (COLT, 1990)

Universal Forecasting Algorithms - V. G. Vovk (Inf. Comput., 1992)

An Optimal-Control Application of Two Paradigms of On-Line Learning. - V. G. Vovk (COLT, 1994)

Minimum description length estimators under the optimal coding scheme. - V. G. Vovk (EuroCOLT, 1995)

Learning an Optimal Decision Strategy in an Influence Diagram with Latent Variables. - V. G. Vovk (COLT, 1996)

Competitive On-line Linear Regression. - Volodya Vovk (NIPS, 1997)

Learning about the Parameter of the Bernoulli Model. - V. G. Vovk (J. Comput. Syst. Sci., 1997)

Universal Portfolio Selection. - V. G. Vovk; Chris Watkins (COLT, 1998)

Ridge Regression Learning Algorithm in Dual Variables. - Craig Saunders; Alexander Gammerman; Volodya Vovk (ICML, 1998)

Learning by Transduction. - Alexander Gammerman; Volodya Vovk; Vladimir Vapnik (UAI, 1998)

A Game of Prediction with Expert Advice. - V. G. Vovk (J. Comput. Syst. Sci., 1998)

Machine-Learning Applications of Algorithmic Randomness. - Volodya Vovk; Alexander Gammerman; Craig Saunders (ICML, 1999)

Transduction with Confidence and Credibility. - Craig Saunders; Alex Gammerman; Volodya Vovk (IJCAI, 1999)

Kolmogorov Complexity: Sources, Theory and Applications. - Alexander Gammerman; Vladimir Vovk (Comput. J., 1999)

Complexity Approximation Principle. - Vladimir Vovk; Alexander Gammerman (Comput. J., 1999)

Derandomizing Stochastic Prediction Strategies. - V. G. Vovk (Mach. Learn., 1999)

Computationally Efficient Transductive Machines. - Craig Saunders; Alex Gammerman; Volodya Vovk (ALT, 2000)

Pattern Recognition and Density Estimation under the General i.i.d. Assumption. - Ilia Nouretdinov; Volodya Vovk; Michael V. Vyugin; Alex Gammerman (COLT/EuroCOLT, 2001)

Comparing the Bayes and Typicalness Frameworks. - Thomas Melluish; Craig Saunders; Ilia Nouretdinov; Volodya Vovk (ECML, 2001)

Ridge Regression Confidence Machine. - Ilia Nouretdinov; Thomas Melluish; Volodya Vovk (ICML, 2001)

Predicting nearly as well as the best pruning of a decision tree through dynamic programming scheme. - Eiji Takimoto; Akira Maruoka; Volodya Vovk (Theor. Comput. Sci., 2001)

Probability theory for the Brier game. - V. G. Vovk (Theor. Comput. Sci., 2001)

Asymptotic Optimality of Transductive Confidence Machine. - Vladimir Vovk (ALT, 2002)

Inductive Confidence Machines for Regression. - Harris Papadopoulos; Kostas Proedrou; Volodya Vovk; Alex Gammerman (ECML, 2002)

Transductive Confidence Machines for Pattern Recognition. - Kostas Proedrou; Ilia Nouretdinov; Volodya Vovk; Alex Gammerman (ECML, 2002)

On-Line Confidence Machines Are Well-Calibrated. - Vladimir Vovk (FOCS, 2002)

Qualified Prediction for Large Data Sets in the Case of Pattern Recognition. - Harris Papadopoulos; Vladimir Vovk; Alex Gammerman (ICMLA, 2002)

Prediction algorithms and confidence measures based on algorithmic randomness theory. - Alex Gammerman; Volodya Vovk (Theor. Comput. Sci., 2002)

Well-Calibrated Predictions from Online Compression Models. - Vladimir Vovk (ALT, 2003)

Testing Exchangeability On-Line. - Vladimir Vovk; Ilia Nouretdinov; Alex Gammerman (ICML, 2003)

Self-calibrating Probability Forecasting. - Vladimir Vovk; Glenn Shafer; Ilia Nouretdinov (NIPS, 2003)

Kolmogorov's Contributions to the Foundations of Probability. - V. G. Vovk; Glenn R. Shafer (Probl. Inf. Transm., 2003)

A Criterion for the Existence of Predictive Complexity for Binary Games. - Yuri Kalnishkan; Vladimir Vovk; Michael V. Vyugin (ALT, 2004)

On-line Prediction with Kernels and the Complexity Approximation Principle. - Alex Gammerman; Yuri Kalnishkan; Vladimir Vovk (UAI, 2004)

A Universal Well-Calibrated Algorithm for On-line Classification. - Vladimir Vovk (J. Mach. Learn. Res., 2004)

Loss functions, complexities, and the Legendre transformation. - Yuri Kalnishkan; Volodya Vovk; Michael V. Vyugin (Theor. Comput. Sci., 2004)

Defensive Forecasting. - Vladimir Vovk; Akimichi Takemura; Glenn Shafer (AISTATS, 2005)

Defensive Prediction with Expert Advice. - Vladimir Vovk (ALT, 2005)

Defensive Forecasting for Linear Protocols. - Vladimir Vovk; Ilia Nouretdinov; Akimichi Takemura; Glenn Shafer (ALT, 2005)

Competitive on-line learning with a convex loss function - Vladimir Vovk (CoRR, 2005)

How many strings are easy to predict? - Yuri Kalnishkan; Vladimir Vovk; Michael V. Vyugin (Inf. Comput., 2005)

Predictions as Statements and Decisions. - Vladimir Vovk (COLT, 2006)

On-Line Regression Competitive with Reproducing Kernel Hilbert Spaces. - Vladimir Vovk (TAMC, 2006)

Competing with Markov prediction strategies - Vladimir Vovk (CoRR, 2006)

Metric entropy in competitive on-line prediction - Vladimir Vovk (CoRR, 2006)

Hedging predictions in machine learning - Alexander Gammerman; Vladimir Vovk (CoRR, 2006)

Criterion of calibration for transductive confidence machine with limited feedback. - Ilia Nouretdinov; Vladimir Vovk (Theor. Comput. Sci., 2006)

Well-calibrated predictions from on-line compression models. - Vladimir Vovk (Theor. Comput. Sci., 2006)

Generalised Entropy and Asymptotic Complexities of Languages. - Yuri Kalnishkan; Vladimir Vovk; Michael V. Vyugin (COLT, 2007)

Competing with Stationary Prediction Strategies. - Vladimir Vovk (COLT, 2007)

Conformal Prediction with Neural Networks. - Harris Papadopoulos; Volodya Vovk; Alex Gammerman (ICTAI (2), 2007)

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

Rejoinder Hedging Predictions in Machine Learning. - Alexander Gammerman; Vladimir Vovk (Comput. J., 2007)

Defensive forecasting for optimal prediction with expert advice - Vladimir Vovk (CoRR, 2007)

Continuous and randomized defensive forecasting: unified view - Vladimir Vovk (CoRR, 2007)

Prediction with expert advice for the Brier game - Vladimir Vovk (CoRR, 2007)

Competing with wild prediction rules. - Vladimir Vovk (Mach. Learn., 2007)

Non-asymptotic calibration and resolution. - Vladimir Vovk (Theor. Comput. Sci., 2007)

On-Line Probability, Complexity and Randomness. - Alexey V. Chernov; Alexander Shen 001; Nikolai K. Vereshchagin; Vladimir Vovk (ALT, 2008)

Prequential Randomness. - Vladimir Vovk; Alexander Shen 001 (ALT, 2008)

The game-theoretic capital asset pricing model. - Vladimir Vovk; Glenn Shafer (Int. J. Approx. Reason., 2008)

A Tutorial on Conformal Prediction. - Glenn Shafer; Vladimir Vovk (J. Mach. Learn. Res., 2008)

Leading strategies in competitive on-line prediction. - Vladimir Vovk (Theor. Comput. Sci., 2008)

Online Prediction of Ovarian Cancer. - Fedor Zhdanov; Vladimir Vovk; Brian Burford; Dmitry Devetyarov; Ilia Nouretdinov; Alex Gammerman (AIME, 2009)

Prediction with Expert Evaluators' Advice. - Alexey V. Chernov; Vladimir Vovk (ALT, 2009)

Conditional Prediction Intervals for Linear Regression. - Peter McCullagh; Vladimir Vovk; Ilia Nouretdinov; Dmitry Devetyarov; Alex Gammerman (ICMLA, 2009)

Confidence Predictions for the Diagnosis of Acute Abdominal Pain. - Harris Papadopoulos; Alex Gammerman; Volodya Vovk (AIAI, 2009)

Serum Proteomic Abnormality Predating Screen Detection of Ovarian Cancer. - Alex Gammerman; Volodya Vovk; Brian Burford; Ilia Nouretdinov; Zhiyuan Luo 001; Alexey Ya. Chervonenkis; Mike Waterfield; Rainer Cramer; Paul Tempst; Josep Villanueva; Musarat Kabir; Stephane Camuzeaux; et al. (Comput. J., 2009)

Competing with Gaussian linear experts - Fedor Zhdanov; Vladimir Vovk (CoRR, 2009)

Prediction With Expert Advice For The Brier Game. - Vladimir Vovk; Fedor Zhdanov (J. Mach. Learn. Res., 2009)

Editors' Introduction. - Marcus Hutter; Frank Stephan 001; Vladimir Vovk; Thomas Zeugmann (ALT, 2010)

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

Prediction with Advice of Unknown Number of Experts. - Alexey V. Chernov; Vladimir Vovk (UAI, 2010)

How to Base Probability Theory on Perfect-Information Games. - Glenn Shafer; Vladimir Vovk; Roman Chychyla (Bull. EATCS, 2010)

Prédictions contrôlées en apprentissage automatique. - Alex Gammerman; Vladimir Vovk (Monde des Util. Anal. Données, 2010)

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

Supermartingales in prediction with expert advice. - Alexey V. Chernov; Yuri Kalnishkan; Fedor Zhdanov; Vladimir Vovk (Theor. Comput. Sci., 2010)

Prequential randomness and probability. - Vladimir Vovk; Alexander Shen 001 (Theor. Comput. Sci., 2010)

Regression Conformal Prediction with Nearest Neighbours. - Harris Papadopoulos; Vladimir Vovk; Alex Gammerman (J. Artif. Intell. Res., 2011)

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

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

Multiprobabilistic Venn Predictors with Logistic Regression. - Ilia Nouretdinov; Dmitry Devetyarov; Brian Burford; Stephane Camuzeaux; Aleksandra Gentry-Maharaj; Ali Tiss; Celia J. Smith; Zhiyuan Luo 001; Alexey Ya. Chervonenkis; Rachel Hallett; Volodya Vovk; Mike Waterfield; et al. (AIAI (2), 2012)

Venn predictors and isotonic regression - Vladimir Vovk (CoRR, 2012)

Continuous-time trading and the emergence of probability. - Vladimir Vovk (Finance Stochastics, 2012)

Conformal predictors in early diagnostics of ovarian and breast cancers. - Dmitry Devetyarov; Ilia Nouretdinov; Brian Burford; Stephane Camuzeaux; Aleksandra Gentry-Maharaj; Ali Tiss; Celia J. Smith; Zhiyuan Luo 001; Alexey Ya. Chervonenkis; Rachel Hallett; Volodya Vovk; Mike Waterfield; et al. (Prog. Artif. Intell., 2012)

Kernel Ridge Regression. - Vladimir Vovk (Empirical Inference, 2013)

Conformal Prediction under Hypergraphical Models. - Valentina Fedorova; Alex Gammerman; Ilia Nouretdinov; Vladimir Vovk (ICCSW, 2013)

Transductive conformal predictors. - Vladimir Vovk (AIAI, 2013)

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

Conditional validity of inductive conformal predictors. - Vladimir Vovk (Mach. Learn., 2013)

Guest Editors' foreword. - Marcus Hutter; Frank Stephan 001; Vladimir Vovk; Thomas Zeugmann (Theor. Comput. Sci., 2013)

Efficiency of conformalized ridge regression. - Evgeny Burnaev; Vladimir Vovk (COLT, 2014)

From Conformal to Probabilistic Prediction. - Vladimir Vovk; Ivan Petej; Valentina Fedorova (AIAI (Workshops), 2014)

Venn-Abers Predictors. - Vladimir Vovk; Ivan Petej (UAI, 2014)

Probability-free solutions to the non-stationary newsvendor problem. - Yong Zhang 038; Vladimir Vovk; Weiguo Zhang 002 (Ann. Oper. Res., 2014)

Generalised entropies and asymptotic complexities of languages. - Yuri Kalnishkan; Michael V. Vyugin; Vladimir Vovk (Inf. Comput., 2014)

Buy low, sell high. - Wouter M. Koolen; Vladimir Vovk (Theor. Comput. Sci., 2014)

The Fundamental Nature of the Log Loss Function. - Vladimir Vovk (Fields of Logic and Computation II, 2015)

Large-scale probabilistic predictors with and without guarantees of validity. - Vladimir Vovk; Ivan Petej; Valentina Fedorova (NIPS, 2015)

Multiprobabilistic prediction in early medical diagnoses. - Ilia Nouretdinov; Dmitry Devetyarov; Volodya Vovk; Brian Burford; Stephane Camuzeaux; Aleksandra Gentry-Maharaj; Ali Tiss; Celia J. Smith; Zhiyuan Luo 001; Alexey Ya. Chervonenkis; Rachel Hallett; Mike Waterfield; et al. (Ann. Math. Artif. Intell., 2015)

Guest editors' preface to the special issue on conformal prediction and its applications. - Harris Papadopoulos; Vladimir Vovk; Alexander Gammerman (Ann. Math. Artif. Intell., 2015)

Cross-conformal predictors. - Vladimir Vovk (Ann. Math. Artif. Intell., 2015)

Hypergraphical Conformal Predictors. - Valentina Fedorova; Alex Gammerman; Ilia Nouretdinov; Vladimir Vovk (Int. J. Artif. Intell. Tools, 2015)

Transductive Conformal Prediction. - Vladimir Vovk (Int. J. Artif. Intell. Tools, 2015)

Preface to this special issue. - Alex Gammerman; Vladimir Vovk (J. Mach. Learn. Res., 2015)

Alexey Chervonenkis's bibliography: introductory comments. - Alex Gammerman; Vladimir Vovk (J. Mach. Learn. Res., 2015)

Alexey Chervonenkis's bibliography. - Alex Gammerman; Vladimir Vovk (J. Mach. Learn. Res., 2015)

Prescience: Probabilistic Guidance on the Retraining Conundrum for Malware Detection. - Amit Deo; Santanu Kumar Dash 001; Guillermo Suarez-Tangil; Volodya Vovk; Lorenzo Cavallaro (AISec@CCS, 2016)

Criteria of Efficiency for Conformal Prediction. - Vladimir Vovk; Valentina Fedorova; Ilia Nouretdinov; Alexander Gammerman (COPA, 2016)

Universal Probability-Free Conformal Prediction. - Vladimir Vovk; Dusko Pavlovic (COPA, 2016)

Fundamentals of p-values: Introduction. - Yuri Gurevich; Vladimir Vovk (Bull. EATCS, 2016)

A Closer Look at Adaptive Regret. - Dmitry Adamskiy; Wouter M. Koolen; Alexey V. Chernov; Vladimir Vovk (J. Mach. Learn. Res., 2016)

Conformal Predictive Distributions with Kernels. - Vladimir Vovk; Ilia Nouretdinov; Valery Manokhin; Alex Gammerman (Braverman Readings in Machine Learning, 2017)

Inductive Conformal Martingales for Change-Point Detection. - Denis Volkhonskiy; Evgeny Burnaev; Ilia Nouretdinov; Alexander Gammerman; Vladimir Vovk (COPA, 2017)

Foreword to this special issue: conformal and probabilistic prediction with applications. - Alexander Gammerman; Vladimir Vovk (Ann. Math. Artif. Intell., 2017)

Criteria of efficiency for set-valued classification. - Vladimir Vovk; Ilia Nouretdinov; Valentina Fedorova; Ivan Petej; Alex Gammerman (Ann. Math. Artif. Intell., 2017)

Universal probability-free prediction. - Vladimir Vovk; Dusko Pavlovic (Ann. Math. Artif. Intell., 2017)

Universally consistent predictive distributions. - Vladimir Vovk (CoRR, 2017)

The role of measurability in game-theoretic probability. - Vladimir Vovk (Finance Stochastics, 2017)

Conformal predictive decision making. - Vladimir Vovk; Claus Bendtsen (COPA, 2018)

Cross-conformal predictive distributions. - Vladimir Vovk; Ilia Nouretdinov; Valery Manokhin; Alexander Gammerman (COPA, 2018)

Test statistics and p-values. - Yuri Gurevich; Vladimir Vovk (COPA, 2019)

Universally Consistent Conformal Predictive Distributions. - Vladimir Vovk (COPA, 2019)

Conformal calibrators. - Vladimir Vovk; Ivan Petej; Paolo Toccaceli; Alex Gammerman (CoRR, 2019)

Power and limitations of conformal martingales. - Vladimir Vovk (CoRR, 2019)

Conformal and probabilistic prediction with applications: editorial. - Alexander Gammerman; Vladimir Vovk; Henrik Boström; Lars Carlsson (Mach. Learn., 2019)

Nonparametric predictive distributions based on conformal prediction. - Vladimir Vovk; Jieli Shen; Valery Manokhin; Min-ge Xie (Mach. Learn., 2019)

Non-Algorithmic Theory of Randomness. - Vladimir Vovk (Fields of Logic and Computation III, 2020)

Training conformal predictors. - Nicolò Colombo; Vladimir Vovk (COPA, 2020)

Conformal calibrators. - Vladimir Vovk; Ivan Petej; Paolo Toccaceli; Alexander Gammerman; Ernst Ahlberg; Lars Carlsson (COPA, 2020)

Cross-conformal e-prediction. - Vladimir Vovk (CoRR, 2020)

Testing for concept shift online. - Vladimir Vovk (CoRR, 2020)

Special Issue on Conformal and Probabilistic Prediction with Applications. - Alex Gammerman; Vladimir Vovk; Zhiyuan Luo 001; Evgueni N. Smirnov; Ralf Peeters (Neurocomputing, 2020)

Computationally efficient versions of conformal predictive distributions. - Vladimir Vovk; Ivan Petej; Ilia Nouretdinov; Valery Manokhin; Alexander Gammerman (Neurocomputing, 2020)

Conformal changepoint detection in continuous model situations. - Ilia Nouretdinov; Vladimir Vovk; Alex Gammerman (COPA, 2021)

Conformal testing in a binary model situation. - Vladimir Vovk (COPA, 2021)

Protected probabilistic classification. - Vladimir Vovk; Ivan Petej; Alex Gammerman (COPA, 2021)

Retrain or not retrain: conformal test martingales for change-point detection. - Vladimir Vovk; Ivan Petej; Ilia Nouretdinov; Ernst Ahlberg; Lars Carlsson; Alex Gammerman (COPA, 2021)

Enhancement of prediction algorithms by betting. - Vladimir Vovk (CoRR, 2021)

Adaptive calibration for binary classification. - Vladimir Vovk; Ivan Petej; Alex Gammerman (CoRR, 2021)

Conformal testing: binary case with Markov alternatives. - Vladimir Vovk; Ilia Nouretdinov; Alex Gammerman (COPA, 2022)

Game-theoretic statistics and safe anytime-valid inference. - Aaditya Ramdas; Peter Grünwald; Vladimir Vovk; Glenn Shafer (CoRR, 2022)

Probability and statistics: Foundations and history. Special Issue in honor of Glenn Shafer. - John C. Aldrich; A. Philip Dawid; Thierry Denoeux; Prakash P. Shenoy; Vladimir Vovk (Int. J. Approx. Reason., 2022)

Glenn Shafer - A short biography. - John C. Aldrich; A. Philip Dawid; Thierry Denoeux; Prakash P. Shenoy; Vladimir Vovk (Int. J. Approx. Reason., 2022)

Special Issue on Conformal and Probabilistic Prediction with Applications: Preface. - Alexander Gammerman; Vladimir Vovk; Marco Cristani (Pattern Recognit., 2022)

Universal predictive systems. - Vladimir Vovk (Pattern Recognit., 2022)

The power of forgetting in statistical hypothesis testing. - Vladimir Vovk (COPA, 2023)

Logic of subjective probability. - Vladimir Vovk (CoRR, 2023)

Asymptotic uniqueness in long-term prediction. - Vladimir Vovk (COPA, 2024)

Inductive randomness predictors: beyond conformal. - Vladimir Vovk (COPA, 2025)

Validity and efficiency of the conformal CUSUM procedure. - Vladimir Vovk; Ilia Nouretdinov; Alexander Gammerman (COPA, 2025)

Conformal e-prediction. - Vladimir Vovk (Pattern Recognit., 2025)

Conformal e-testing. - Vladimir Vovk; Ilia Nouretdinov; Alex Gammerman (Pattern Recognit., 2025)

Randomness, exchangeability, and conformal prediction. - Vladimir Vovk (CoRR, 2025)

Set and functional prediction: randomness, exchangeability, and conformal. - Vladimir Vovk (CoRR, 2025)

Inductive randomness predictors. - Vladimir Vovk (CoRR, 2025)

Testing exchangeability in the batch mode with e-values and Markov alternatives. - Vladimir Vovk (Mach. Learn., 2025)