: Gibbs Sampling, Hamiltonian Monte Carlo), VI is deterministic, fast, and benefits from a clear convergence criterion (Blei et al., 2017).
we approximate the intractable posterior p(θ|D) with a variational distribution q(θ) such that the Kullback-Leibler (KL) divergence between the two distributions is minimized.