Vladimir Vovk

Orcid: 0000-0003-2602-6877

Affiliations:
  • Royal Holloway University of London, Computer Learning Research Centre, UK


According to our database1, Vladimir Vovk authored at least 148 papers between 1990 and 2023.

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Bibliography

2023
Logic of subjective probability.
CoRR, 2023

The power of forgetting in statistical hypothesis testing.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

2022
Universal predictive systems.
Pattern Recognit., 2022

Special Issue on Conformal and Probabilistic Prediction with Applications: Preface.
Pattern Recognit., 2022

Glenn Shafer - A short biography.
Int. J. Approx. Reason., 2022

Probability and statistics: Foundations and history. Special Issue in honor of Glenn Shafer.
Int. J. Approx. Reason., 2022

Game-theoretic statistics and safe anytime-valid inference.
CoRR, 2022

Conformal testing: binary case with Markov alternatives.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2022

2021
Adaptive calibration for binary classification.
CoRR, 2021

Enhancement of prediction algorithms by betting.
CoRR, 2021

Retrain or not retrain: conformal test martingales for change-point detection.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021

Protected probabilistic classification.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021

Conformal testing in a binary model situation.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021

Conformal changepoint detection in continuous model situations.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021

2020
Computationally efficient versions of conformal predictive distributions.
Neurocomputing, 2020

Special Issue on Conformal and Probabilistic Prediction with Applications.
Neurocomputing, 2020

Testing for concept shift online.
CoRR, 2020

Cross-conformal e-prediction.
CoRR, 2020

Conformal calibrators.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2020

Training conformal predictors.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2020

Non-Algorithmic Theory of Randomness.
Proceedings of the Fields of Logic and Computation III, 2020

2019
Nonparametric predictive distributions based on conformal prediction.
Mach. Learn., 2019

Conformal and probabilistic prediction with applications: editorial.
Mach. Learn., 2019

Power and limitations of conformal martingales.
CoRR, 2019

Conformal calibrators.
CoRR, 2019

Universally Consistent Conformal Predictive Distributions.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2019

Test statistics and p-values.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2019

2018
Cross-conformal predictive distributions.
Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, 2018

Conformal predictive decision making.
Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, 2018

2017
The role of measurability in game-theoretic probability.
Finance Stochastics, 2017

Universally consistent predictive distributions.
CoRR, 2017

Universal probability-free prediction.
Ann. Math. Artif. Intell., 2017

Criteria of efficiency for set-valued classification.
Ann. Math. Artif. Intell., 2017

Foreword to this special issue: conformal and probabilistic prediction with applications.
Ann. Math. Artif. Intell., 2017

Inductive Conformal Martingales for Change-Point Detection.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2017

Conformal Predictive Distributions with Kernels.
Proceedings of the Braverman Readings in Machine Learning. Key Ideas from Inception to Current State, 2017

2016
A Closer Look at Adaptive Regret.
J. Mach. Learn. Res., 2016

Fundamentals of p-values: Introduction.
Bull. EATCS, 2016

Universal Probability-Free Conformal Prediction.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2016

Criteria of Efficiency for Conformal Prediction.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2016

Prescience: Probabilistic Guidance on the Retraining Conundrum for Malware Detection.
Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security, 2016

2015
Alexey Chervonenkis's bibliography.
J. Mach. Learn. Res., 2015

Alexey Chervonenkis's bibliography: introductory comments.
J. Mach. Learn. Res., 2015

Preface to this special issue.
J. Mach. Learn. Res., 2015

Transductive Conformal Prediction.
Int. J. Artif. Intell. Tools, 2015

Hypergraphical Conformal Predictors.
Int. J. Artif. Intell. Tools, 2015

Cross-conformal predictors.
Ann. Math. Artif. Intell., 2015

Guest editors' preface to the special issue on conformal prediction and its applications.
Ann. Math. Artif. Intell., 2015

Multiprobabilistic prediction in early medical diagnoses.
Ann. Math. Artif. Intell., 2015

Large-scale probabilistic predictors with and without guarantees of validity.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

The Fundamental Nature of the Log Loss Function.
Proceedings of the Fields of Logic and Computation II, 2015

2014
Buy low, sell high.
Theor. Comput. Sci., 2014

Generalised entropies and asymptotic complexities of languages.
Inf. Comput., 2014

Probability-free solutions to the non-stationary newsvendor problem.
Ann. Oper. Res., 2014

Venn-Abers Predictors.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

From Conformal to Probabilistic Prediction.
Proceedings of the Artificial Intelligence Applications and Innovations, 2014

Efficiency of conformalized ridge regression.
Proceedings of The 27th Conference on Learning Theory, 2014

2013
Guest Editors' foreword.
Theor. Comput. Sci., 2013

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

Transductive conformal predictors.
Proceedings of the Artificial Intelligence Applications and Innovations, 2013

Conformal Prediction under Hypergraphical Models.
Proceedings of the Artificial Intelligence Applications and Innovations, 2013

Kernel Ridge Regression.
Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013

2012
Conformal predictors in early diagnostics of ovarian and breast cancers.
Prog. Artif. Intell., 2012

Conditional validity of inductive conformal predictors.
Proceedings of the 4th Asian Conference on Machine Learning, 2012

Continuous-time trading and the emergence of probability.
Finance Stochastics, 2012

Venn predictors and isotonic regression
CoRR, 2012

Multiprobabilistic Venn Predictors with Logistic Regression.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012

Plug-in martingales for testing exchangeability on-line.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Machine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression.
NeuroImage, 2011

Regression Conformal Prediction with Nearest Neighbours.
J. Artif. Intell. Res., 2011

2010
Prequential randomness and probability.
Theor. Comput. Sci., 2010

Supermartingales in prediction with expert advice.
Theor. Comput. Sci., 2010

Weak aggregating algorithm for the distribution-free perishable inventory problem.
Oper. Res. Lett., 2010

Prédictions contrôlées en apprentissage automatique.
Monde des Util. Anal. Données, 2010

How to Base Probability Theory on Perfect-Information Games.
Bull. EATCS, 2010

Prediction with Advice of Unknown Number of Experts.
Proceedings of the UAI 2010, 2010

Competitive Online Generalized Linear Regression under Square Loss.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Editors' Introduction.
Proceedings of the Algorithmic Learning Theory, 21st International Conference, 2010

2009
Prediction With Expert Advice For The Brier Game.
J. Mach. Learn. Res., 2009

Competing with Gaussian linear experts
CoRR, 2009

Serum Proteomic Abnormality Predating Screen Detection of Ovarian Cancer.
Comput. J., 2009

Confidence Predictions for the Diagnosis of Acute Abdominal Pain.
Proceedings of the Artificial Intelligence Applications and Innovations III, 2009

Conditional Prediction Intervals for Linear Regression.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Prediction with Expert Evaluators' Advice.
Proceedings of the Algorithmic Learning Theory, 20th International Conference, 2009

Online Prediction of Ovarian Cancer.
Proceedings of the Artificial Intelligence in Medicine, 2009

2008
Leading strategies in competitive on-line prediction.
Theor. Comput. Sci., 2008

A Tutorial on Conformal Prediction.
J. Mach. Learn. Res., 2008

The game-theoretic capital asset pricing model.
Int. J. Approx. Reason., 2008

Prequential Randomness.
Proceedings of the Algorithmic Learning Theory, 19th International Conference, 2008

On-Line Probability, Complexity and Randomness.
Proceedings of the Algorithmic Learning Theory, 19th International Conference, 2008

2007
Non-asymptotic calibration and resolution.
Theor. Comput. Sci., 2007

Competing with wild prediction rules.
Mach. Learn., 2007

Prediction with expert advice for the Brier game
CoRR, 2007

Continuous and randomized defensive forecasting: unified view
CoRR, 2007

Defensive forecasting for optimal prediction with expert advice
CoRR, 2007

<i>Rejoinder</i> Hedging Predictions in Machine Learning.
Comput. J., 2007

Hedging Predictions in Machine Learning: The Second <i>Computer Journal</i> Lecture.
Comput. J., 2007

Conformal Prediction with Neural Networks.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

Competing with Stationary Prediction Strategies.
Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007

Generalised Entropy and Asymptotic Complexities of Languages.
Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007

2006
Well-calibrated predictions from on-line compression models.
Theor. Comput. Sci., 2006

Criterion of calibration for transductive confidence machine with limited feedback.
Theor. Comput. Sci., 2006

Hedging predictions in machine learning
CoRR, 2006

Metric entropy in competitive on-line prediction
CoRR, 2006

Competing with Markov prediction strategies
CoRR, 2006

On-Line Regression Competitive with Reproducing Kernel Hilbert Spaces.
Proceedings of the Theory and Applications of Models of Computation, 2006

Predictions as Statements and Decisions.
Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006

2005
How many strings are easy to predict?
Inf. Comput., 2005

Competitive on-line learning with a convex loss function
CoRR, 2005

Defensive Forecasting for Linear Protocols.
Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005

Defensive Prediction with Expert Advice.
Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005

Defensive Forecasting.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004
Loss functions, complexities, and the Legendre transformation.
Theor. Comput. Sci., 2004

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

On-line Prediction with Kernels and the Complexity Approximation Principle.
Proceedings of the UAI '04, 2004

A Criterion for the Existence of Predictive Complexity for Binary Games.
Proceedings of the Algorithmic Learning Theory, 15th International Conference, 2004

2003
Kolmogorov's Contributions to the Foundations of Probability.
Probl. Inf. Transm., 2003

Self-calibrating Probability Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Testing Exchangeability On-Line.
Proceedings of the Machine Learning, 2003

Well-Calibrated Predictions from Online Compression Models.
Proceedings of the Algorithmic Learning Theory, 14th International Conference, 2003

2002
Prediction algorithms and confidence measures based on algorithmic randomness theory.
Theor. Comput. Sci., 2002

Qualified Prediction for Large Data Sets in the Case of Pattern Recognition.
Proceedings of the 2002 International Conference on Machine Learning and Applications, 2002

On-Line Confidence Machines Are Well-Calibrated.
Proceedings of the 43rd Symposium on Foundations of Computer Science (FOCS 2002), 2002

Transductive Confidence Machines for Pattern Recognition.
Proceedings of the Machine Learning: ECML 2002, 2002

Inductive Confidence Machines for Regression.
Proceedings of the Machine Learning: ECML 2002, 2002

Asymptotic Optimality of Transductive Confidence Machine.
Proceedings of the Algorithmic Learning Theory, 13th International Conference, 2002

2001
Probability theory for the Brier game.
Theor. Comput. Sci., 2001

Predicting nearly as well as the best pruning of a decision tree through dynamic programming scheme.
Theor. Comput. Sci., 2001

Ridge Regression Confidence Machine.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

Comparing the Bayes and Typicalness Frameworks.
Proceedings of the Machine Learning: EMCL 2001, 2001

Pattern Recognition and Density Estimation under the General i.i.d. Assumption.
Proceedings of the Computational Learning Theory, 2001

2000
Computationally Efficient Transductive Machines.
Proceedings of the Algorithmic Learning Theory, 11th International Conference, 2000

1999
Derandomizing Stochastic Prediction Strategies.
Mach. Learn., 1999

Complexity Approximation Principle.
Comput. J., 1999

Kolmogorov Complexity: Sources, Theory and Applications.
Comput. J., 1999

Transduction with Confidence and Credibility.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Machine-Learning Applications of Algorithmic Randomness.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

1998
A Game of Prediction with Expert Advice.
J. Comput. Syst. Sci., 1998

Learning by Transduction.
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

Ridge Regression Learning Algorithm in Dual Variables.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Universal Portfolio Selection.
Proceedings of the Eleventh Annual Conference on Computational Learning Theory, 1998

1997
Learning about the Parameter of the Bernoulli Model.
J. Comput. Syst. Sci., 1997

Competitive On-line Linear Regression.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

1996
Learning an Optimal Decision Strategy in an Influence Diagram with Latent Variables.
Proceedings of the Ninth Annual Conference on Computational Learning Theory, 1996

1995
Minimum description length estimators under the optimal coding scheme.
Proceedings of the Computational Learning Theory, Second European Conference, 1995

1994
An Optimal-Control Application of Two Paradigms of On-Line Learning.
Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory, 1994

1992
Universal Forecasting Algorithms
Inf. Comput., February, 1992

1990
Aggregating Strategies.
Proceedings of the Third Annual Workshop on Computational Learning Theory, 1990


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