Optimally-Weighted Herding is Bayesian Quadrature. Huszár, F & Duvenaud, D arXiv.org, 2012.
abstract   bibtex   
Abstract: Herding and kernel herding are deterministic methods of choosing samples which summarise a probability distribution. A related task is choosing samples for estimating integrals using Bayesian quadrature. We show that the criterion minimised when selecting.
@Article{Huszar2012,
author = {Huszár, F and Duvenaud, D}, 
title = {Optimally-Weighted Herding is Bayesian Quadrature}, 
journal = {arXiv.org}, 
volume = {}, 
number = {}, 
pages = {}, 
year = {2012}, 
abstract = {Abstract: Herding and kernel herding are deterministic methods of choosing samples which summarise a probability distribution. A related task is choosing samples for estimating integrals using Bayesian quadrature. We show that the criterion minimised when selecting.}, 
location = {}, 
keywords = {}}

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