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Our method can be used to train implicit probabilistic models (a common example being the generator in GANs). Unlike GANs, however, our method does not suffer from mode collapse/dropping and is stable ...
As with most optimization methods for nonconcave functions, the expectation maximization algorithm comes with guarantees only of convergence to a local maximum of the objective function (except in ...
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