67 citations · 74 across the 3 of their papers we have counts for
4 papers
Synthetic Data-Based Simulators for Recommender Systems: A Survey
Elizaveta Stavinova, Alexander Grigorievskiy, Anna Volodkevich +3
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…
Federated Multi-view Matrix Factorization for Personalized Recommendations
Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy +3
We introduce the federated multi-view matrix factorization method that extends the federated learning framework to matrix factorization with multiple data sources. Our method is ab…
Gaussian Process Kernels for Popular State-Space Time Series Models
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. In particular, several widely used state- spac…
Parallelizable sparse inverse formulation Gaussian processes (SpInGP)
Alexander Grigorievskiy, Neil Lawrence, Simo Särkkä
We propose a parallelizable sparse inverse formulation Gaussian process (SpInGP) for temporal models. It uses a sparse precision GP formulation and sparse matrix routines to speed…