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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