SAME but Different: Fast and High-Quality Gibbs Parameter Estimation

18 Sep 2014 Huasha Zhao Biye Jiang John Canny

Gibbs sampling is a workhorse for Bayesian inference but has several limitations when used for parameter estimation, and is often much slower than non-sampling inference methods. SAME (State Augmentation for Marginal Estimation) \cite{Doucet99,Doucet02} is an approach to MAP parameter estimation which gives improved parameter estimates over direct Gibbs sampling... (read more)

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