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Generalization Theory for GANs - UCSD CSE

EB-GAN. (. √ t − 1)2. Hellinger distance. (t − 1)2 χ2 divergence. LS-GAN. Note: A constant factor in the JS divergence is removed. See [Goodfellow et al.

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