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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

1 October 2022
Jianhao Ma
Li-Zhen Guo
S. Fattahi
ArXivPDFHTML

Papers citing "Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition"

4 / 4 papers shown
Title
Gradient descent in matrix factorization: Understanding large
  initialization
Gradient descent in matrix factorization: Understanding large initialization
Hengchao Chen
Xin Chen
Mohamad Elmasri
Qiang Sun
AI4CE
16
1
0
30 May 2023
Robust Sparse Mean Estimation via Incremental Learning
Robust Sparse Mean Estimation via Incremental Learning
Jianhao Ma
Ruidi Chen
Yinghui He
S. Fattahi
Wei Hu
25
0
0
24 May 2023
Implicit Regularization in Hierarchical Tensor Factorization and Deep
  Convolutional Neural Networks
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks
Noam Razin
Asaf Maman
Nadav Cohen
28
29
0
27 Jan 2022
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
119
1,194
0
16 Aug 2016
1