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Optimization-Based Separations for Neural Networks

Optimization-Based Separations for Neural Networks

4 December 2021
Itay Safran
Jason D. Lee
ArXivPDFHTML

Papers citing "Optimization-Based Separations for Neural Networks"

3 / 3 papers shown
Title
Provable Guarantees for Nonlinear Feature Learning in Three-Layer Neural Networks
Provable Guarantees for Nonlinear Feature Learning in Three-Layer Neural Networks
Eshaan Nichani
Alexandru Damian
Jason D. Lee
MLT
31
13
0
11 May 2023
Blessing of Nonconvexity in Deep Linear Models: Depth Flattens the
  Optimization Landscape Around the True Solution
Blessing of Nonconvexity in Deep Linear Models: Depth Flattens the Optimization Landscape Around the True Solution
Jianhao Ma
S. Fattahi
17
5
0
15 Jul 2022
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
123
600
0
14 Feb 2016
1