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CS229T/STAT231: Statistical Learning Theory (Winter 2016)
Apr 20, 2016 · statistical properties (they have the smallest possible asymptotic variance out of all estimators). But maximum likelihood is computationally intractable for most latent-variable models and requires non-convex optimization. These optimization problems are typically solved by EM, which is only guaranteed to converge to local optima. We
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