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Expectation Propagation - The Essential Minimum

The bare practical minimum to understand Expectation Propagation

Summary of the SNEP algorithm

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

Visualizing Measure Theory for Markov Chains

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

Logistic Regression

Rigorous summary of results and formulas concerning Bayesian Logistic Regression.

Paper Summary: An Introduction To Transformers - Turner (2023)

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 …