no code implementations • 22 Jun 2022 • Elizaveta Stavinova, Alexander Grigorievskiy, Anna Volodkevich, Petr Chunaev, Klavdiya Bochenina, Dmitry Bugaychenko
This survey aims at providing a comprehensive overview of the recent trends in the field of modeling and simulation (M&S) of interactions between users and recommender systems and applications of the M&S to the performance improvement of industrial recommender engines.
no code implementations • 8 Apr 2020 • Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan, Suleiman A. Khan, Muhammad Ammad-Ud-Din
We introduce the federated multi-view matrix factorization method that extends the federated learning framework to matrix factorization with multiple data sources.
no code implementations • ICML 2018 • Hannes Nickisch, Arno Solin, Alexander Grigorievskiy
We provide a comprehensive overview and tooling for GP modeling with non-Gaussian likelihoods using state space methods.
no code implementations • 25 Oct 2016 • Alexander Grigorievskiy, Juha Karhunen
In this paper we investigate a link between state- space models and Gaussian Processes (GP) for time series modeling and forecasting.
no code implementations • 25 Oct 2016 • Alexander Grigorievskiy, Neil Lawrence, Simo Särkkä
We propose a parallelizable sparse inverse formulation Gaussian process (SpInGP) for temporal models.