Tag: variational-inference

Modern Bayesian statistics relies on models for which the posterior is not easy to compute and corresponding algorithms for approximating them. Variational inference is one of the most popular methods for approximating the posterior. In this post, we will introduce the basic idea of variational inference and its application to a simple example.

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Modern Bayesian statistics relies on models for which the posterior is not easy to compute and corresponding algorithms for approximating them. Variational inference is one of the most popular methods for approximating the posterior. In this post, we will introduce the basic idea of variational inference and its application to a simple example.

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