Zekai’s Notes 学习笔记

Metropolis–Hastings (MH) is a Markov chain Monte Carlo method that repeatedly draws proposals from a simple distribution and updates the current state with an accept/reject rule.

Generalization is the implicit alignment between neural networks and the underlying data distribution, shaped by both data and human perception.