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Introduction
Types of Variables
Latent Variable Models
Loss Function
Variational inference
Regularized Autoencoder
Sampling
ancestral sampling
conditioned language models
Motivation for latent variables
Training VAEs
Aggressive inference network learning
Latent variables
Discrete latent variables
Reparameterization
Random Sampling
Reparameterization Trick
Gumball Softmax
Gumball Function
Application Examples
Graham Neubig
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