Description of Expectation Propagation using Multivariate Normal factors for the global approximation.

How to rewrite a Multivariate Normal distribution as a member of the Exponential Family.

The bare practical minimum to understand Expectation Propagation

Concised summary of Stochastic Natural Gradient Expectation Propagation algorithm by Hasenclever et al.

Measure-theoretic concepts underpinning the development of Markov Chains and Markov Chains Monte Carlo (MCMC) via insightful diagrams.

Rigorous summary of results and formulas concerning Bayesian Logistic Regression.

Input to the Transformer The input to the transformer is a sequence \(X^{(0)}\in\mathbb{R}^{D\times N}\) where \(N\) is the length of …

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