Training Latent Variable Models with Auto-encoding Variational Bayes: A Tutorial

1 code implementation • 16 Aug 2022 • Yang Zhi-Han

Auto-encoding Variational Bayes (AEVB) is a powerful and general algorithm for fitting latent variable models (a promising direction for unsupervised learning), and is well-known for training the Variational Auto-Encoder (VAE).

Variational Inference