Dynamical Sampling with Langevin Normalization Flows

In Bayesian machine learning, sampling methods provide the asymptotically unbiased estimation for the inference of the complex probability distributions, where Markov chain Monte Carlo (MCMC) is one of the most popular sampling methods. However, MCMC can lead to high autocorrelation of samples or po...

全面介紹

書目詳細資料

發表在:	Entropy
Main Authors:	Minghao Gu, Shiliang Sun, Yan Liu
格式:	Article
語言:	英语
出版:	MDPI AG 2019-11-01
主題:	normalization flows langevin diffusions langevin normalization flows monte carlo sampling
在線閱讀:	https://www.mdpi.com/1099-4300/21/11/1096