609 citations · 1.8k across the 89 of their papers we have counts for
6 papers · 1 filter
Combining p-values via averaging
Vladimir Vovk, Ruodu Wang
This paper proposes general methods for the problem of multiple testing of a single hypothesis, with a standard goal of combining a number of p-values without making any assumption…
Venn-Abers predictors
Vladimir Vovk, Ivan Petej
This paper continues study, both theoretical and empirical, of the method of Venn prediction, concentrating on binary prediction problems. Venn predictors produce probability-type…
Conditional validity of inductive conformal predictors
Vladimir Vovk
Conformal predictors are set predictors that are automatically valid in the sense of having coverage probability equal to or exceeding a given confidence level. Inductive conformal…
Cross-conformal predictors
Vladimir Vovk
This note introduces the method of cross-conformal prediction, which is a hybrid of the methods of inductive conformal prediction and cross-validation, and studies its validity and…
On-line Prediction with Kernels and the Complexity Approximation Principle
Alex Gammerman, Yuri Kalnishkan, Vladimir Vovk
The paper describes an application of Aggregating Algorithm to the problem of regression. It generalizes earlier results concerned with plain linear regression to kernel techniques…
Plug-in martingales for testing exchangeability on-line
Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov +1
A standard assumption in machine learning is the exchangeability of data, which is equivalent to assuming that the examples are generated from the same probability distribution ind…