Search Results for author: Edward Snelson

Found 2 papers, 0 papers with code

Variable noise and dimensionality reduction for sparse Gaussian processes

no code implementations27 Jun 2012 Edward Snelson, Zoubin Ghahramani

A projection of the input space to a low dimensional space is learned in a supervised manner, alongside the pseudo-inputs, which now live in this reduced space.

Dimensionality Reduction Gaussian Processes

Sparse Gaussian processes using pseudo-inputs

no code implementations NeurIPS 2005 Edward Snelson, Zoubin Ghahramani

We present a new Gaussian process (GP) regression model whose covariance is parameterized by the the locations of M pseudo-input points, which we learn by a gradient based optimization.

Gaussian Processes regression

Cannot find the paper you are looking for? You can Submit a new open access paper.