V
Vladimir Vovk
Researcher at Royal Holloway, University of London
Publications - 262
Citations - 6894
Vladimir Vovk is an academic researcher from Royal Holloway, University of London. The author has contributed to research in topics: Randomness & Probability theory. The author has an hindex of 38, co-authored 253 publications receiving 5753 citations. Previous affiliations of Vladimir Vovk include University of London.
Papers
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Journal Article
A Tutorial on Conformal Prediction
Glenn Shafer,Vladimir Vovk +1 more
TL;DR: This tutorial presents a self-contained account of the theory of conformal prediction and works through several numerical examples of how the model under which successive examples are sampled independently from the same distribution can be applied to any method for producing ŷ.
Book
Algorithmic Learning in a Random World
TL;DR: Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov's algorithmic notion of randomness and describes how several important machine learning problems cannot be solved if the only assumption is randomness.
Book
Probability and Finance: It's Only a Game!
Glenn Shafer,Vladimir Vovk +1 more
TL;DR: In this paper, Probability and finance as a game is presented. But it is not a game, it is a probability game, and there is no game-theoretic probability game.
Book ChapterDOI
Kernel Ridge Regression
TL;DR: This chapter discusses the method of Kernel Ridge Regression, which is a very simple special case of Support Vector Regression that has performance guarantees that have nothing to do with Bayesian assumptions.
Book
Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications
TL;DR: The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence with a prediction in any real-world pattern recognition application, including risk-sensitive applications such as medical diagnosis, face recognition, and financial risk prediction.