35 citations · 153 across the 16 of their papers we have counts for
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cs.LG2012★ 25 cited
Modelling local and global phenomena with sparse Gaussian processes
Jarno Vanhatalo, Aki Vehtari
Much recent work has concerned sparse approximations to speed up the Gaussian process regression from the unfavorable O(n3) scaling in computational time to O(nm2). Thus far, work…
stat.ML2012★ 35 cited
Bayesian Modeling with Gaussian Processes using the GPstuff Toolbox
Jarno Vanhatalo, Jaakko Riihimäki, Jouni Hartikainen +3
Gaussian processes (GP) are powerful tools for probabilistic modeling purposes. They can be used to define prior distributions over latent functions in hierarchical Bayesian models…
stat.ML2012★ 3 cited
Speeding up the binary Gaussian process classification
Jarno Vanhatalo, Aki Vehtari
Gaussian processes (GP) are attractive building blocks for many probabilistic models. Their drawbacks, however, are the rapidly increasing inference time and memory requirement alo…