Improving black-box optimization in VAE latent space using decoder uncertainty.

Pascal Notin José Miguel Hernández-Lobato Yarin Gal

Published in: CoRR (2021)

Keyphrases

black box
latent space
black boxes
white box
low dimensional
test cases
machine learning
parameter space
latent variables
manifold learning
matrix factorization
gaussian process
neural network
feature space