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Found 5 papers, 0 papers with code
Synthetic Data-Based Simulators for Recommender Systems: A Survey
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.
Federated Multi-view Matrix Factorization for Personalized Recommendations
We introduce the federated multi-view matrix factorization method that extends the federated learning framework to matrix factorization with multiple data sources.
State Space Gaussian Processes with Non-Gaussian Likelihood
We provide a comprehensive overview and tooling for GP modeling with non-Gaussian likelihoods using state space methods.
Parallelizable sparse inverse formulation Gaussian processes (SpInGP)
We propose a parallelizable sparse inverse formulation Gaussian process (SpInGP) for temporal models.
Gaussian Process Kernels for Popular State-Space Time Series Models
In this paper we investigate a link between state- space models and Gaussian Processes (GP) for time series modeling and forecasting.
