Do GANs learn the distribution? Some Theory and Empirics.

Sanjeev Arora Andrej Risteski Yi Zhang

Published in: ICLR (Poster) (2018)

Keyphrases

theoretical basis
theoretical framework
image processing
efficient learning
real world
machine learning
image segmentation
similarity measure
lower bound
training set
probability distribution
theoretical foundation
domain theory
unsupervised manner
large deviations