82 citations · 243 across the 24 of their papers we have counts for
3 papers · 1 filter
Variational Fourier features for Gaussian processes
James Hensman, Nicolas Durrande, Arno Solin
This work brings together two powerful concepts in Gaussian processes: the variational approach to sparse approximation and the spectral representation of Gaussian processes. This…
Nested Kriging predictions for datasets with large number of observations
Didier Rullière, Nicolas Durrande, François Bachoc +1
This work falls within the context of predicting the value of a real function at some input locations given a limited number of observations of this function. The Kriging interpola…
An analytic comparison of regularization methods for Gaussian Processes
Hossein Mohammadi, Rodolphe Le Riche, Nicolas Durrande +2
Gaussian Processes (GPs) are a popular approach to predict the output of a parameterized experiment. They have many applications in the field of Computer Experiments, in particular…