An Improved Training Procedure for Neural Autoregressive Data Completion

23 Nov 2017Maxime VoisinDaniel Ritchie

Neural autoregressive models are explicit density estimators that achieve state-of-the-art likelihoods for generative modeling. The D-dimensional data distribution is factorized into an autoregressive product of one-dimensional conditional distributions according to the chain rule... (read more)

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