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Beyond Lazy Training for Over-parameterized Tensor Decomposition

Beyond Lazy Training for Over-parameterized Tensor Decomposition

22 October 2020
Xiang Wang
Chenwei Wu
J. Lee
Tengyu Ma
Rong Ge
ArXivPDFHTML

Papers citing "Beyond Lazy Training for Over-parameterized Tensor Decomposition"

3 / 3 papers shown
Title
Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis
  Function Decomposition
Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition
Jianhao Ma
Li-Zhen Guo
S. Fattahi
38
4
0
01 Oct 2022
Neural Networks can Learn Representations with Gradient Descent
Neural Networks can Learn Representations with Gradient Descent
Alexandru Damian
Jason D. Lee
Mahdi Soltanolkotabi
SSL
MLT
22
114
0
30 Jun 2022
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
Dominik Stöger
Mahdi Soltanolkotabi
ODL
42
75
0
28 Jun 2021
1