4 citations · 7 across the 7 of their papers we have counts for
7 papers
E-variables and tests of randomness for distribution classes
Georgii Potapov, Yuri Kalnishkan
E-variables are a relatively new approach for testing statistical hypotheses that has been experiencing major development during the last several years. In this paper we introduce…
Aggregating Algorithm for Prediction of Packs
Dmitry Adamskiy, Tony Bellotti, Raisa Dzhamtyrova +1
This paper formulates the protocol for prediction of packs, which a special case of prediction under delayed feedback. Under this protocol, the learner must make a few predictions…
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…
An Identity for Kernel Ridge Regression
Fedor Zhdanov, Yuri Kalnishkan
This paper derives an identity connecting the square loss of ridge regression in on-line mode with the loss of the retrospectively best regressor. Some corollaries about the proper…
Supermartingales in Prediction with Expert Advice
Alexey Chernov, Yuri Kalnishkan, Fedor Zhdanov +1
We apply the method of defensive forecasting, based on the use of game-theoretic supermartingales, to prediction with expert advice. In the traditional setting of a countable numbe…
Aggregating Algorithm competing with Banach lattices
Fedor Zhdanov, Alexey Chernov, Yuri Kalnishkan
The paper deals with on-line regression settings with signals belonging to a Banach lattice. Our algorithms work in a semi-online setting where all the inputs are known in advance…