Esther G. van Pelt

A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression

This work expresses multi-output Gaussian process regression as a Forney-style factor graph in which a nearest-neighbor chain orders a fixed candidate set of inputs into a one-dimensional sequence, and compares the factor-graph formulation against an exact kernel-matrix baseline, a sparse-variational inducing-point bas...