High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm

ICML 2017 • Rongda Zhu • Lingxiao Wang • ChengXiang Zhai • Quanquan Gu

We propose a generic stochastic expectation-maximization (EM) algorithm for the estimation of high-dimensional latent variable models. At the core of our algorithm is a novel semi-stochastic variance-reduced gradient designed for the $Q$-function in the EM algorithm... (read more)

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