Learning Implicit Generative Models with the Method of Learned Moments

ICML 2018 Suman RavuriShakir MohamedMihaela RoscaOriol Vinyals

We propose a method of moments (MoM) algorithm for training large-scale implicit generative models. Moment estimation in this setting encounters two problems: it is often difficult to define the millions of moments needed to learn the model parameters, and it is hard to determine which properties are useful when specifying moments... (read more)

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