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The Inductive Bias of Restricted f-GANs
[article]
2018
arXiv
pre-print
Generative adversarial networks are a novel method for statistical inference that have achieved much empirical success; however, the factors contributing to this success remain ill-understood. In this work, we attempt to analyze generative adversarial learning -- that is, statistical inference as the result of a game between a generator and a discriminator -- with the view of understanding how it differs from classical statistical inference solutions such as maximum likelihood inference and the
arXiv:1809.04542v1
fatcat:ihpvr6q555gdxfluq53kcygqee