Machine Learning, Optimization, Gradient Descent, Reinforcement Learning.
the posterior, P(z) is the prior and P(x|z) is the likelihood distribution. Let y be a soft sample drawn from the Gumbel softmax distribution parameterized by probabilities π. π are the probabilities of each dimension of z being on and is the output of the encoder. Recall that if z is a real-valued