"Benefit of deep learning with non-convex noisy gradient descent: Provable ..."

Taiji Suzuki, Shunta Akiyama (2020)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2020-12-09

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  - journals/corr/abs-2012-03224
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  - https://dblp.org/rec/journals/corr/abs-2012-03224
Taiji Suzuki, Shunta Akiyama:
Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods. CoRR abs/2012.03224 (2020)

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