Posts
KL divergence
How Maximum Likelihood Estimate and Variational Inference relate to the KL divergence
The reparameterisation trick
In this post we see a well known approach for computing gradients of the Free Energy that uses a reparameterisation of the approximating density, leading to a computationally tractable method that can exploit auto differentiation.
Deriving the Free Energy functional aka the ELBO
Deriving the free energy functional starting from Bayes' theorem.
Motivating Approximate Bayesian Inference
Short rationale for why we care about approximate Bayesian inference.
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