Search Results for author: Iskander Azangulov

Found 4 papers, 2 papers with code

Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces

1 code implementation30 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.

Gaussian Processes

On power sum kernels on symmetric groups

no code implementations10 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 $\mathrm{S}_n$.

Gaussian Processes

Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case

1 code implementation31 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.

Bayesian Inference Gaussian Processes

Matérn Gaussian Processes on Graphs

no code implementations29 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.

Gaussian Processes

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