Unsupervised Deep Structure Learning by Recursive Independence Testing

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We introduce a principled approach for unsupervised structure learning of deep, feed-forward, neural networks. We propose a new interpretation for depth and inter-layer connectivity where conditional independencies in the input distribution are encoded hierarchically in the network structure...