Scalable geometric Markov chain Monte Carlo

Markov chain Monte Carlo (MCMC) is one of the most popular statistical inference methods in machine learning. Recent work shows that a significant improvement of the statistical efficiency of MCMC on complex distributions can be achieved by exploiting geometric properties of the target distribution....

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Bibliographic Details
Main Author: Zhang, Yichuan
Other Authors: Sutton, Charles ; Murray, Iain
Published: University of Edinburgh 2016
Subjects:
Online Access:https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.712337