no code implementations • 27 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.
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.