Transductive Log Opinion Pool of Gaussian Process Experts
Machine Learning
2015-11-25 v1 Machine Learning
Abstract
We introduce a framework for analyzing transductive combination of Gaussian process (GP) experts, where independently trained GP experts are combined in a way that depends on test point location, in order to scale GPs to big data. The framework provides some theoretical justification for the generalized product of GP experts (gPoE-GP) which was previously shown to work well in practice but lacks theoretical basis. Based on the proposed framework, an improvement over gPoE-GP is introduced and empirically validated.
Keywords
Cite
@article{arxiv.1511.07551,
title = {Transductive Log Opinion Pool of Gaussian Process Experts},
author = {Yanshuai Cao and David J. Fleet},
journal= {arXiv preprint arXiv:1511.07551},
year = {2015}
}
Comments
Accepted at NIPS2015 Workshop on Nonparametric Methods for Large Scale Representation Learning