Machine Learning, Variational Inference, Bayesian Statistics, Artificial Intelligence.
mechanism: We generate a random number n in the domain [0,1]. If n ≤ α, accept the new sample in the chain; if n > α, keep the current sample and don’t extend the chain. The best bit? Samples with acceptance probabilities close to 1 are more likely to move the chain towards higher probability