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

Pascal Notin José Miguel Hernández-Lobato Yarin Gal

Published in: NeurIPS (2021)

Keyphrases

black box
latent space
black boxes
white box
latent variables
low dimensional
test cases
manifold learning
matrix factorization
gaussian process
lower dimensional
regression model
transfer learning
parameter space
neural network
pose estimation
object oriented
prior knowledge