Vladimir Vovk

发表

Leading strategies in competitive on-line prediction

Vladimir Vovk, V. Vovk, 2006, Theor. Comput. Sci..

Generalised Entropy and Asymptotic Complexities of Languages

Vladimir Vovk, Yuri Kalnishkan, Michael V. Vyugin, 2007, COLT.

Vladimir Vovk, Alexander Shen, V. Vovk, 2010, Theor. Comput. Sci..

Statistical Learning and Data Sciences: Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings

Harris Papadopoulos, Alexander Gammerman, Vladimir Vovk, 2015 .

Prediction with Expert Evaluators' Advice

Vladimir Vovk, Alexey V. Chernov, V. Vovk, 2009, ALT.

Ridge Regression Learning Algorithm in Dual Variables

Alexander Gammerman, Vladimir Vovk, Craig Saunders, 1998, ICML.

Normalized nonconformity measures for regression Conformal Prediction

Harris Papadopoulos, Vladimir Vovk, Alexander Gammerman, 2008 .

Measures of Complexity

Harris Papadopoulos, Alexander Gammerman, Vladimir Vovk, 2015, Springer International Publishing.

Well-calibrated predictions from on-line compression models

Vladimir Vovk, V. Vovk, 2006, Theor. Comput. Sci..

Loss functions, complexities, and the Legendre transformation

Vladimir Vovk, Yuri Kalnishkan, Michael V. Vyugin, 2004, Theor. Comput. Sci..

A game of prediction with expert advice

Vladimir Vovk, V. Vovk, 1995, COLT '95.

Power and limitations of conformal martingales pdf

Vladimir Vovk, 2019, ArXiv.

Competitive Online Generalized Linear Regression under Square Loss

Vladimir Vovk, Fedor Zhdanov, 2010, ECML/PKDD.

Venn-Abers Predictors

Vladimir Vovk, Ivan Petej, V. Vovk, 2012, UAI.

Criteria of efficiency for set-valued classification

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2017, Annals of Mathematics and Artificial Intelligence.

Conformal Prediction under Hypergraphical Models

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2013, ICCSW.

Conformal calibrators

Alexander Gammerman, Vladimir Vovk, Paolo Toccaceli, 2019, COPA.

Universally consistent predictive distributions pdf

Vladimir Vovk, 2017, ArXiv.

Defensive Prediction with Expert Advice

Vladimir Vovk, 2005, ALT.

Non-asymptotic calibration and resolution

Vladimir Vovk, 2007, Theor. Comput. Sci..

Transductive Conformal Prediction

Vladimir Vovk, V. Vovk, 2015, Int. J. Artif. Intell. Tools.

True and false discoveries with independent e-values

Ruodu Wang, Vladimir Vovk, V. Vovk, 2020, 2003.00593.

Kernel Ridge Regression

Vladimir Vovk, V. Vovk, 2013, Empirical Inference.

Practical investment with the long-short game

Vladimir Vovk, Yuri Kalnishkan, Zhiyuan Luo, 2020, COPA.

Inductive Confidence Machines for Regression

Harris Papadopoulos, Alexander Gammerman, Vladimir Vovk, 2002, ECML.

Testing randomness.

Vladimir Vovk, 2019 .

Foreword to this special issue: conformal and probabilistic prediction with applications

Alexander Gammerman, Vladimir Vovk, 2017, Annals of Mathematics and Artificial Intelligence.

Venn predictors and isotonic regression pdf

Vladimir Vovk, 2012, ArXiv.

Transductive conformal predictors

Vladimir Vovk, V. Vovk, 2015, AIAI.

Algorithmic Learning Theory, 21st International Conference, ALT 2010, Canberra, Australia, October 6-8, 2010. Proceedings

Frank Stephan, Thomas Zeugmann, Vladimir Vovk, 2010, ALT.

Criterion of calibration for transductive confidence machine with limited feedback

Vladimir Vovk, Ilia Nouretdinov, V. Vovk, 2006, Theor. Comput. Sci..

Fundamentals of p-values: Introduction

Vladimir Vovk, Yuri Gurevich, 2016, Bull. EATCS.

Rejoinder Hedging Predictions in Machine Learning

Alexander Gammerman, Vladimir Vovk, 2007, Comput. J..

Asymptotic Optimality of Transductive Confidence Machine

Vladimir Vovk, V. Vovk, 2002, ALT.

Online Prediction of Ovarian Cancer pdf

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2009, AIME.

Supermartingales in prediction with expert advice

Vladimir Vovk, Yuri Kalnishkan, Fedor Zhdanov, 2010 .

A game of prediction with expert advice

Vladimir Vovk, V. Vovk, 1995, COLT '95.

Competing with Wild Prediction Rules

Vladimir Vovk, 2006, COLT.

Efficiency of conformalized ridge regression

Vladimir Vovk, Evgeny Burnaev, V. Vovk, 2014, COLT.

Buy Low, Sell High

Wouter M. Koolen, Vladimir Vovk, 2012, ALT.

Pattern Recognition and Density Estimation under the General i.i.d. Assumption

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2001, COLT/EuroCOLT.

Prequential Randomness

Vladimir Vovk, Alexander Shen, V. Vovk, 2008, ALT.

Universal Probability-Free Conformal Prediction pdf

Vladimir Vovk, Dusko Pavlovic, V. Vovk, 2016, COPA.

The role of measurability in game-theoretic probability

Vladimir Vovk, 2017, Finance Stochastics.

Kolmogorov's strong law of large numbers in game-theoretic probability: Reality's side pdf

Vladimir Vovk, V. Vovk, 2013, ArXiv.

Criteria of Efficiency for Conformal Prediction pdf

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2016, COPA.

Cross-conformal e-prediction pdf

Vladimir Vovk, 2020, ArXiv.

Prediction with expert advice for the Brier game pdf

Vladimir Vovk, V. Vovk, Fedor Zhdanov, 2007, ICML '08.

Conformal Prediction with Neural Networks

Harris Papadopoulos, Vladimir Vovk, Alexander Gammerman, 2007 .

Conformal Prediction under Hypergraphical Models

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2013, AIAI.

Alexey Chervonenkis's bibliography

Alexander Gammerman, Vladimir Vovk, A. Gammerman, 2015, J. Mach. Learn. Res..

Proceedings of the 5th International Symposium on Conformal and Probabilistic Prediction with Applications - Volume 9653

Alexander Gammerman, Vladimir Vovk, Zhiyuan Luo, 2016 .

Ridge Regression Confidence Machine

Vladimir Vovk, Ilia Nouretdinov, Thomas Melluish, 2001, International Conference on Machine Learning.

Prediction with Advice of Unknown Number of Experts pdf

Vladimir Vovk, Alexey V. Chernov, V. Vovk, 2010, UAI.

Editors' Introduction

Frank Stephan, Thomas Zeugmann, Vladimir Vovk, 2010, ALT.

Guest Editors' foreword

Frank Stephan, Thomas Zeugmann, Vladimir Vovk, 2013, Theor. Comput. Sci..

Loss functions, complexities, and the Legendre transformation

Vladimir Vovk, Yuri Kalnishkan, Michael V. Vyugin, 2001, Theor. Comput. Sci..

How to Base Probability Theory on Perfect-Information Games

Vladimir Vovk, Glenn Shafer, Roman Chychyla, 2010, Bull. EATCS.

Game‐Theoretic Foundations for Probability and Finance

Vladimir Vovk, Glenn Shafer, G. Shafer, 2019, Wiley Series in Probability and Statistics.

Probability theory for the Brier game

Vladimir Vovk, V. Vovk, 1997, Theor. Comput. Sci..

Generalised entropies and asymptotic complexities of languages

Vladimir Vovk, Yuri Kalnishkan, Michael V. Vyugin, 2014, Inf. Comput..

Special Issue on Conformal and Probabilistic Prediction with Applications

Ralf Peeters, Vladimir Vovk, Alexander Gammerman, 2020, Neurocomputing.

Training conformal predictors

Vladimir Vovk, Nicolo Colombo, V. Vovk, 2020, COPA.

The typicalness framework: a comparison with the Bayesian approach

Vladimir Vovk, Ilia Nouretdinov, Craig Saunders, 2004 .

Hedging Predictions in Machine Learning: The Second Computer Journal Lecture

Alexander Gammerman, Vladimir Vovk, A. Gammerman, 2006, Comput. J..

Conditional Prediction Intervals for Linear Regression

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2009, 2009 International Conference on Machine Learning and Applications.

Universal portfolio selection

Vladimir Vovk, Chris Watkins, V. Vovk, 1998, COLT' 98.

From conformal to probabilistic prediction

Vladimir Vovk, Ivan Petej, Valentina Fedorova, 2014, AIAI Workshops.

Alexey Chervonenkis's bibliography: introductory comments

Alexander Gammerman, Vladimir Vovk, A. Gammerman, 2015, J. Mach. Learn. Res..

Non-asymptotic calibration and resolution

Vladimir Vovk, V. Vovk, 2005, Theor. Comput. Sci..

An optimal-control application of two paradigms of on-line learning

Vladimir Vovk, V. Vovk, 1994, COLT '94.

Guest editors’ preface to the special issue on conformal prediction and its applications

Harris Papadopoulos, Alexander Gammerman, Vladimir Vovk, 2014, Annals of Mathematics and Artificial Intelligence.

Conditional validity of inductive conformal predictors

Vladimir Vovk, V. Vovk, 2012, Machine Learning.

Weak aggregating algorithm for the distribution-free perishable inventory problem

Vladimir Vovk, Tatsiana Levina, Yuri Levin, 2010, Oper. Res. Lett..

Prédictions contrôlées en apprentissage automatique

Vladimir Vovk, Alexander Gammerman, 2010, Monde des Util. Anal. Données.

Serum Proteomic Abnormality Predating Screen Detection of Ovarian Cancer

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2009, Comput. J..

Machine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2011, NeuroImage.

Conformal Prediction with Neural Networks

Harris Papadopoulos, Alexander Gammerman, Vladimir Vovk, 2007, 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007).

Inductive Conformal Martingales for Change-Point Detection

Alexander Gammerman, Vladimir Vovk, Evgeny Burnaev, 2017, COPA.

The game-theoretic capital asset pricing model

Vladimir Vovk, Glenn Shafer, G. Shafer, 2008, Int. J. Approx. Reason..

Test statistics and p-values

Vladimir Vovk, Yuri Gurevich, V. Vovk, 2017, COPA.

Cross-conformal predictive distributions

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2018, COPA.

Criterion of Calibration for Transductive Confidence Machine with Limited Feedback

Vladimir Vovk, Ilia Nouretdinov, 2003, ALT.

Empirical Inference

Vladimir Vovk, Zhiyuan Luo, Vladimir N. Vapnik, 2011, Springer Berlin Heidelberg.

Hedging predictions in machine learning pdf

Alexander Gammerman, Vladimir Vovk, A. Gammerman, 2006, ArXiv.

Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications

Vladimir Vovk, Vineeth N. Balasubramanian, Shen-Shyang Ho, 2014 .

Learning about the Parameter of the Bernoulli Model

Vladimir Vovk, V. Vovk, 1997, J. Comput. Syst. Sci..

How Many Strings Are Easy to Predict?

Vladimir Vovk, Yuri Kalnishkan, Michael V. Vyugin, 2003, COLT.

A Universal Well-Calibrated Algorithm for On-line Classification

Vladimir Vovk, V. Vovk, 2004, J. Mach. Learn. Res..

Plug-in martingales for testing exchangeability on-line pdf

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2012, ICML.

Testing for concept shift online pdf

Vladimir Vovk, V. Vovk, 2020, ArXiv.

Defensive forecasting for optimal prediction with expert advice pdf

Vladimir Vovk, V. Vovk, 2007, ArXiv.

Probability-free solutions to the non-stationary newsvendor problem

Yong Zhang, Weiguo Zhang, Vladimir Vovk, 2014, Ann. Oper. Res..

A note on data splitting with e-values: online appendix to my comment on Glenn Shafer's "Testing by betting".

Vladimir Vovk, V. Vovk, Vladimir Vovk, 2020, 2008.11474.

On-line confidence machines are well-calibrated

Vladimir Vovk, V. Vovk, 2002, The 43rd Annual IEEE Symposium on Foundations of Computer Science, 2002. Proceedings..

Testing Exchangeability On-Line

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2003, ICML.

Defensive Forecasting pdf

Akimichi Takemura, Vladimir Vovk, Glenn Shafer, 2005, AISTATS.

On-line Prediction with Kernels and the Complexity Approximation Principle pdf

Alexander Gammerman, Vladimir Vovk, Yuri Kalnishkan, 2004, UAI.

A tutorial on conformal prediction pdf

Vladimir Vovk, Glenn Shafer, G. Shafer, 2007, J. Mach. Learn. Res..

Competing with wild prediction rules

Vladimir Vovk, V. Vovk, 2005, Machine Learning.

Predicting nearly as well as the best pruning of a decision tree through dynamic programming scheme

Vladimir Vovk, Eiji Takimoto, Akira Maruoka, 2001, Theor. Comput. Sci..

Qualified Prediction for Large Data Sets in the Case of Pattern Recognition

Harris Papadopoulos, Alexander Gammerman, Vladimir Vovk, 2002, International Conference on Machine Learning and Applications.

Computationally efficient versions of conformal predictive distributions pdf

Vladimir Vovk, Ilia Nouretdinov, Ivan Petej, 2019, Neurocomputing.

Minimum description length estimators under the optimal coding scheme

Vladimir Vovk, 1995, EuroCOLT.

Special Issue Editorial: Kolmogorov Complexity

Alexander Gammerman, Vladimir Vovk, A. Gammerman, 1999 .

A Criterion for the Existence of Predictive Complexity for Binary Games

Vladimir Vovk, Yuri Kalnishkan, Michael V. Vyugin, 2004, ALT.

Hypergraphical Conformal Predictors

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2015, Int. J. Artif. Intell. Tools.

Machine-Learning Applications of Algorithmic Randomness

Alexander Gammerman, Vladimir Vovk, Craig Saunders, 1999, ICML.

Learning by Transduction

Alexander Gammerman, Vladimir Vovk, Vladimir Vapnik, 1998, UAI.

Complexity Approximation Principle

Alexander Gammerman, Vladimir Vovk, 1999, Comput. J..

Transductive Confidence Machines for Pattern Recognition

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2002, ECML.

Conformal and probabilistic prediction with applications: editorial

Alexander Gammerman, Lars Carlsson, Vladimir Vovk, 2018, Machine Learning.

On-Line Probability, Complexity and Randomness

Nikolai K. Vereshchagin, Vladimir Vovk, Alexander Shen, 2008, ALT.

Kolmogorov Complexity: Sources, Theory and Applications

Alexander Gammerman, Vladimir Vovk, 1999, Comput. J..

Competing with Markov prediction strategies pdf

Vladimir Vovk, V. Vovk, 2006, ArXiv.

Comet Observations [089 Nikolaev]

Vladimir Vovk, Ye.S. Sybiryakova, Y. S. Kozyryev, 2011, MPC 2012.

Conformal and Probabilistic Prediction with Applications

Alexander Gammerman, Vladimir Vovk, Zhiyuan Luo, 2016, Lecture Notes in Computer Science.

Continuous and randomized defensive forecasting: unified view pdf

Vladimir Vovk, V. Vovk, 2007, ArXiv.

Density Estimation using Support Vector Machines

Jason Weston, Alexander Gammerman, Vladimir Vovk, 1998 .

Conformal predictors in early diagnostics of ovarian and breast cancers

Vladimir Vovk, Ilia Nouretdinov, Zhiyuan Luo, 2012, Progress in Artificial Intelligence.

Derandomizing Stochastic Prediction Strategies

Vladimir Vovk, 1999, Machine Learning.

Learning an optimal decision strategy in an influence diagram with latent variables

Vladimir Vovk, 1996, COLT '96.

Probability theory for the Brier game

Vladimir Vovk, 2001, Theor. Comput. Sci..

Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik

Vladimir Vovk, Zhiyuan Luo, Bernhard Schlkopf, 2014, Empirical Inference.

Computationally Efficient Transductive Machines

Alexander Gammerman, Vladimir Vovk, Craig Saunders, 2000, ALT.

Buy low, sell high

Wouter M. Koolen, Vladimir Vovk, 2014, Theor. Comput. Sci..

Continuous-time trading and the emergence of probability

Vladimir Vovk, V. Vovk, 2009, Finance and Stochastics.

Leading Strategies in Competitive On-Line Prediction

Vladimir Vovk, 2006, ALT.

Competitive On-line Linear Regression

Vladimir Vovk, V. Vovk, 1997, NIPS.

Prediction With Expert Advice For The Brier Game

Vladimir Vovk, Fedor Zhdanov, 2009, J. Mach. Learn. Res..

Supermartingales in prediction with expert advice

Vladimir Vovk, Yuri Kalnishkan, Fedor Zhdanov, 2008, Theor. Comput. Sci..

Universal Forecasting Algorithms

Vladimir Vovk, V. Vovk, 1992, Inf. Comput..

Kolmogorov's Contributions to the Foundations of Probability

Vladimir Vovk, Glenn Shafer, G. Shafer, 2003, Probl. Inf. Transm..

Metric entropy in competitive on-line prediction pdf

Vladimir Vovk, V. Vovk, 2006, ArXiv.

Confidence Predictions for the Diagnosis of Acute Abdominal Pain

Harris Papadopoulos, Alexander Gammerman, Vladimir Vovk, 2009, AIAI.

Multiprobabilistic Venn Predictors with Logistic Regression

Vladimir Vovk, Ilia Nouretdinov, Zhiyuan Luo, 2012, AIAI.

Preface to this special issue

Alexander Gammerman, Vladimir Vovk, 2005, Brain Topography.

Competing with Gaussian linear experts pdf

Vladimir Vovk, Fedor Zhdanov, V. Vovk, 2009, ArXiv.

Derandomizing Stochastic Prediction Strategies

Vladimir Vovk, V. Vovk, 1997, COLT '97.

Large-scale probabilistic predictors with and without guarantees of validity

Vladimir Vovk, Ivan Petej, Valentina Fedorova, 2015, NIPS.

Non-Algorithmic Theory of Randomness

Vladimir Vovk, 2020, Fields of Logic and Computation III.

Conformal predictive decision making

Vladimir Vovk, Claus Bendtsen, V. Vovk, 2018, COPA.

Universal probability-free prediction

Vladimir Vovk, Dusko Pavlovic, 2017, Annals of Mathematics and Artificial Intelligence.

A Closer Look at Adaptive Regret

Wouter M. Koolen, Vladimir Vovk, Dmitry Adamskiy, 2012, J. Mach. Learn. Res..

How many strings are easy to predict?

Vladimir Vovk, Yuri Kalnishkan, Michael V. Vyugin, 2005, Inf. Comput..

Predictions as Statements and Decisions

Vladimir Vovk, V. Vovk, 2006, COLT.

Nonparametric predictive distributions based on conformal prediction

Vladimir Vovk, Min-ge Xie, Jieli Shen, 2017, Machine Learning.

On-Line Regression Competitive with Reproducing Kernel Hilbert Spaces pdf

Vladimir Vovk, V. Vovk, 2005, TAMC.

Multiprobabilistic prediction in early medical diagnoses

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2013, Annals of Mathematics and Artificial Intelligence.

The Fundamental Nature of the Log Loss Function

Vladimir Vovk, V. Vovk, 2015, Fields of Logic and Computation II.

Defensive Forecasting for Linear Protocols pdf

Akimichi Takemura, Vladimir Vovk, Glenn Shafer, 2005, ALT.

Aggregating strategies

Vladimir Vovk, V. Vovk, 1990, COLT '90.

7th Symposium on Conformal and Probabilistic Prediction and Applications, COPA 2018, 11-13 June 2018, Maastricht, The Netherlands

Ralf Peeters, Alexander Gammerman, Vladimir Vovk, 2018, International Symposium on Conformal and Probabilistic Prediction with Applications.

Competitive on-line learning with a convex loss function pdf

Vladimir Vovk, 2005, ArXiv.

Comparing the Bayes and Typicalness Frameworks

Vladimir Vovk, Ilia Nouretdinov, Craig Saunders, 2001, ECML.

Transduction with Confidence and Credibility

Alexander Gammerman, Vladimir Vovk, Craig Saunders, 1999, IJCAI.

Well-Calibrated Predictions from Online Compression Models

Vladimir Vovk, V. Vovk, 2003, ALT.

Cross-conformal predictors

Vladimir Vovk, V. Vovk, 2012, Annals of Mathematics and Artificial Intelligence.

Prescience: Probabilistic Guidance on the Retraining Conundrum for Malware Detection

Vladimir Vovk, Lorenzo Cavallaro, Santanu Kumar Dash, 2016, AISec@CCS.

Competing with Stationary Prediction Strategies

Vladimir Vovk, V. Vovk, 2006, COLT.

A Game-Theoretic Explanation of the √(dt) Effect

Vladimir Vovk, Glenn Shafer, G. Shafer, 2003 .

Self-calibrating Probability Forecasting

Vladimir Vovk, Glenn Shafer, Ilia Nouretdinov, 2003, NIPS.

Regression Conformal Prediction with Nearest Neighbours

Harris Papadopoulos, Alexander Gammerman, Vladimir Vovk, 2014, J. Artif. Intell. Res..

Conformal predictive distributions with kernels pdf

Alexander Gammerman, Vladimir Vovk, Ilia Nouretdinov, 2017, Braverman Readings in Machine Learning.

Prediction algorithms and confidence measures based on algorithmic randomness theory

Alexander Gammerman, Vladimir Vovk, A. Gammerman, 2002, Theor. Comput. Sci..

Conformal testing in a binary model situation pdf

Vladimir Vovk, 2021, ArXiv.

Retrain or not retrain: Conformal test martingales for change-point detection pdf

Alexander Gammerman, Lars Carlsson, Vladimir Vovk, 2021, COPA.

Protected probabilistic classification

Vladimir Vovk, Ivan Petej, Alex Gammerman, 2021, COPA.

Conformal testing: binary case with Markov alternatives pdf

Vladimir Vovk, Ilia Nouretdinov, Alex Gammerman, 2021, ArXiv.

E-values: Calibration, combination, and applications

Ruodu Wang, Vladimir Vovk, V. Vovk, 2019, The Annals of Statistics.

Adaptive calibration for binary classification pdf

Vladimir Vovk, Ivan Petej, Alex Gammerman, 2021, ArXiv.

Enhancement of prediction algorithms by betting pdf

Vladimir Vovk, 2021, ArXiv.

Conformal Prediction for Reliable Machine Learning

Vladimir Vovk, 2014 .

Inductive conformal predictors in the batch mode

Vladimir Vovk, V. Vovk, 2012 .

Game-theoretic Brownian motion

Vladimir Vovk, V. Vovk, 2008, 0801.1309.

Itô Calculus without Probability in Idealized Financial Markets*

Vladimir Vovk, V. Vovk, 2011, 1108.0799.

On the concept of Bernoulliness

Vladimir Vovk, V. Vovk, 2016, 1612.08859.

Statistical Learning and Data Sciences

Harris Papadopoulos, Alexander Gammerman, Vladimir Vovk, 2015, Lecture Notes in Computer Science.

Continuous-time trading and the emergence of volatility

Vladimir Vovk, V. Vovk, 2007, 0712.1483.

Mondrian Confidence Machine

Vladimir Vovk, Ilia Nouretdinov, V. Vovk, 2003 .

Online Region Prediction with Real Teachers

Vladimir Vovk, Daniil Ryabko, 2003 .

Rough paths in idealized financial markets

Vladimir Vovk, V. Vovk, 2010, 1005.0279.

The Basic Conformal Prediction Framework

Vladimir Vovk, 2014 .

Continuous-time trading and the emergence of randomness

Vladimir Vovk, V. Vovk, 2007, 0712.1275.

Kolmogorov’s Complexity Conception of Probability

Vladimir Vovk, 2001 .

Forecasting point and continuous processes: Prequential analysis

Vladimir Vovk, V. Vovk, 1993 .

Hoeffding's inequality in game-theoretic probability

Vladimir Vovk, 2007 .

Wiley Series in Probability and Statistics

Vladimir Vovk, Glenn Shafer, G. Shafer, 2001 .

Good sequential probability forecasting is always possible

Vladimir Vovk, Glenn Shafer, G. Shafer, 2007 .

Lévy’s Zero–One Law in Game-Theoretic Probability

Akimichi Takemura, Vladimir Vovk, Glenn Shafer, 2009, Journal of Theoretical Probability.

The generality of the zero-one laws

Akimichi Takemura, Vladimir Vovk, Glenn Shafer, 2008, 0803.3679.

Testing Randomness Online

Vladimir Vovk, V. Vovk, 2019, Statistical Science.

Game-Theoretic Capital Asset Pricing in Continuous Time

Vladimir Vovk, Glenn Shafer, 2001 .

Comment: The Two Styles of VC Bounds

Vladimir Vovk, 2015 .

True and false discoveries with e-values

Ruodu Wang, Vladimir Vovk, V. Vovk, 2019 .

Prequential Level of Impossibility with Some Applications

Vladimir Vovk, Vladimir V. V'yugin, V. Vovk, 1994 .

Prequential probability: game-theoretic = measure theoretic

Vladimir Vovk, V. Vovk, 2009, 0905.1673.