BriefGPT.xyz
Dec, 2014
利用反向退火得出MRF对数似然的准确和保守估计
Accurate and Conservative Estimates of MRF Log-likelihood using Reverse Annealing
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Yuri Burda, Roger B. Grosse, Ruslan Salakhutdinov
TL;DR
提出了一种名为RAISE的估计Markov随机场模型分区函数的估计器，该估计器只需要标准AIS中的MCMC转移算子，实验结果表明，RAISE与AIS的似然估计值相当接近，但在低似然时，相对于AIS更容易低估似然。
Abstract
markov random fields
(MRFs) are difficult to evaluate as
generative models
because computing the test log-probabilities requires the intractable partition function.
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