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Small random initialization is akin to spectral learning: Optimization
  and generalization guarantees for overparameterized low-rank matrix
  reconstruction

Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction

28 June 2021
Dominik Stöger
Mahdi Soltanolkotabi
    ODL
ArXivPDFHTML

Papers citing "Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction"

3 / 53 papers shown
Title
Neural Networks as Kernel Learners: The Silent Alignment Effect
Neural Networks as Kernel Learners: The Silent Alignment Effect
Alexander B. Atanasov
Blake Bordelon
C. Pehlevan
MLT
11
74
0
29 Oct 2021
On the computational and statistical complexity of over-parameterized
  matrix sensing
On the computational and statistical complexity of over-parameterized matrix sensing
Jiacheng Zhuo
Jeongyeol Kwon
Nhat Ho
C. Caramanis
17
28
0
27 Jan 2021
Deep Networks and the Multiple Manifold Problem
Deep Networks and the Multiple Manifold Problem
Sam Buchanan
D. Gilboa
John N. Wright
166
39
0
25 Aug 2020
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