f-GANs in an Information Geometric Nutshell

Richard Nock, Zac Cranko, Aditya Krishna Menon +2

Nowozin \textit{et al} showed last year how to extend the GAN \textit{principle} to all $f$-divergences. The approach is elegant but falls short of a full description of the superv…