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ORCID"Benefit of deep learning with non-convex noisy gradient descent: Provable ..."
Taiji Suzuki, Shunta Akiyama (2021)
- Taiji Suzuki, Shunta Akiyama:
Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods. ICLR 2021
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