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This is a question about statistical learning theory. Consider a hypothesis class $\mathcal{F}$, parameterized by real vectors $w \in \mathbb{R}^p$. Suppose I have a data distribution $D \sim \mu$ and ...

I have been reading the paper Do GANs learn the distribution? Some theory and empirics. In Corollary D.1, they reference the paper Generalization and Equilibrium in Generative Adversarial Nets which ...