35 citations · 153 across the 16 of their papers we have counts for
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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…