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2012.03224
Cited By
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
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ArXiv
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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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Title
High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation
Jimmy Ba
Murat A. Erdogdu
Taiji Suzuki
Zhichao Wang
Denny Wu
Greg Yang
MLT
42
121
0
03 May 2022
1