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Expectation Maximization (EM) is an iterative algorithm to estimate parameters when some variables are hidden or unobserved.
Importance sampling rewrites an expectation under a hard-to-sample distribution p as an expectation under an easier distribution q, multiplied by a weight w = p/q.