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- W2901089174 abstract "For distributions p and q with different supports, the divergence D(p|q) may not exist. We define a spread divergence on modified p and q and describe sufficient conditions for the existence of such a divergence. We demonstrate how to maximize the discriminatory power of a given divergence by parameterizing and learning the spread. We also give examples of using a spread divergence to train and improve implicit generative models, including linear models (Independent Components Analysis) and non-linear models (Deep Generative Networks)." @default.
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- W2901089174 date "2018-11-21" @default.
- W2901089174 modified "2023-09-27" @default.
- W2901089174 title "Spread Divergences" @default.
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