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tutorials/docs-07-for-developers-variational-inference/index.qmd

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In this post, we'll examine variational inference (VI), a family of approximate Bayesian inference methods. We will focus on one of the more standard VI methods, Automatic Differentiation Variational Inference (ADVI).
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Here, we'll examine the theory behind VI, but if you're interested in using ADVI in Turing, [check out this tutorial](../../docs/tutorials/09-variational-inference).
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Here, we'll examine the theory behind VI, but if you're interested in using ADVI in Turing, [check out this tutorial](../../tutorials/09-variational-inference).
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# Motivation
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