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Benefit of deep learning with non-convex noisy gradient descent:
  Provable excess risk bound and superiority to kernel methods

Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods

6 December 2020
Taiji Suzuki
Shunta Akiyama
    MLT
ArXivPDFHTML

Papers citing "Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods"

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