Machine Learning, Variational Inference, Bayesian Statistics, Artificial Intelligence.
Metropolis-Hastings acceptance/rejection mechanism really shines: For any given proposed sample, we define acceptance probability = min(1, α), where α as the ratio of target and proposal distributions at proposed and current samples. Next comes the heart of the algorithm’s exploration-exploitation