Provable Guarantees on Learning Hierarchical Generative Models with Deep CNNs

ICLR 2019 Eran MalachShai Shalev-Shwartz

Learning deep networks is computationally hard in the general case. To show any positive theoretical results, one must make assumptions on the data distribution... (read more)

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