blei-lab / edward / 2535

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travis-ci

Add variational inference for deep and hierarchical implicit models (#491)

* add implicit_klqp.py

* add example; let loss_obj be an argument

* fix pep8

* let user pass in custom ratio loss

* improve docstrings

* generalize ImplicitKLqp's scale arg to be a dict

* add simple unit test

* tweak example

* robustify ratio loss arg; update docstrings

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