Search Results for author: Ville Tolvanen

Found 3 papers, 1 papers with code

Bayesian leave-one-out cross-validation approximations for Gaussian latent variable models

no code implementations23 Dec 2014 Aki Vehtari, Tommi Mononen, Ville Tolvanen, Tuomas Sivula, Ole Winther

The future predictive performance of a Bayesian model can be estimated using Bayesian cross-validation.

Approximate Inference for Nonstationary Heteroscedastic Gaussian process Regression

no code implementations22 Apr 2014 Ville Tolvanen, Pasi Jylänki, Aki Vehtari

This paper presents a novel approach for approximate integration over the uncertainty of noise and signal variances in Gaussian process (GP) regression.

regression

Bayesian Modeling with Gaussian Processes using the GPstuff Toolbox

1 code implementation25 Jun 2012 Jarno Vanhatalo, Jaakko Riihimäki, Jouni Hartikainen, Pasi Jylänki, Ville Tolvanen, Aki Vehtari

The prior over functions is defined implicitly by the mean and covariance function, which determine the smoothness and variability of the function.

Gaussian Processes

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