Variational MCMC

10 Jan 2013Nando de FreitasPedro Hojen-SorensenMichael I. JordanStuart Russell

We propose a new class of learning algorithms that combines variational approximation and Markov chain Monte Carlo (MCMC) simulation. Naive algorithms that use the variational approximation as proposal distribution can perform poorly because this approximation tends to underestimate the true variance and other features of the data... (read more)

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