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Bayesian inference is a method of statistical inference that relies on treating the model parameters as random variables and applying Bayes' theorem to deduce subjective probability statements about the parameters or hypotheses, conditional on the observed dataset.
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How to maximize the ELBO in coordinate ascent variational inference
From (22) to (23), it involves functional derivatives. The same question can be found here.
From (23) to (24), it just set (23) equals to 0 and get the corresponding $q_j(z_j)$. The constant in the ex …