the food is good , but the food is good this place is a great place to go for lunch .
the optimal variational posterior q * ∈ Q is then the one that minimizes the KL divergence Based on this, variational autoencoder (VAE) (Kingma and Welling, 2014) is proposed as a latent generative model that seeks to learn a posterior of the latent codes by minimizing the KL divergence between the true joint density p θ (x, z) the variational joint density q φ (z, x).