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....
Main Author: | |
---|---|
Other Authors: | |
Published: |
University of Edinburgh
2016
|
Subjects: | |
Online Access: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.712337 |