Deep and Hierarchical Implicit Models

This is a rich paper in which the authors develop two families of models: hierarchical implicit models and deep implicit models. They combine the idea of implicit densities with hierarchical Bayesian modeling and deep neural networks. These methods scale up implicit models to sizes previously not possible and open the door to new modeling designs.


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