1 code implementation • 30 Jan 2023 • Iskander Azangulov, Andrei Smolensky, Alexander Terenin, Viacheslav Borovitskiy
The invariance of a Gaussian process' covariance to such symmetries gives rise to the most natural generalization of the concept of stationarity to such spaces.
no code implementations • 10 Nov 2022 • Iskander Azangulov, Viacheslav Borovitskiy, Andrei Smolensky
In this note, we introduce a family of "power sum" kernels and the corresponding Gaussian processes on symmetric groups $\mathrm{S}_n$.
1 code implementation • 31 Aug 2022 • Iskander Azangulov, Andrei Smolensky, Alexander Terenin, Viacheslav Borovitskiy
The invariance of a Gaussian process' covariance to such symmetries gives rise to the most natural generalization of the concept of stationarity to such spaces.
no code implementations • 29 Oct 2020 • Viacheslav Borovitskiy, Iskander Azangulov, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth, Nicolas Durrande
Gaussian processes are a versatile framework for learning unknown functions in a manner that permits one to utilize prior information about their properties.