Stochastic Expectation Maximization with Variance Reduction

NeurIPS 2018 Jianfei ChenJun ZhuYee Whye TehTong Zhang

Expectation-Maximization (EM) is a popular tool for learning latent variable models, but the vanilla batch EM does not scale to large data sets because the whole data set is needed at every E-step. Stochastic Expectation Maximization (sEM) reduces the cost of E-step by stochastic approximation... (read more)

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