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Implicit Regularization in Tensor Factorization

Implicit Regularization in Tensor Factorization

19 February 2021
Noam Razin
Asaf Maman
Nadav Cohen
ArXivPDFHTML

Papers citing "Implicit Regularization in Tensor Factorization"

15 / 15 papers shown
Title
PRIOR: Personalized Prior for Reactivating the Information Overlooked in
  Federated Learning
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning
Mingjia Shi
Yuhao Zhou
Kai Wang
Huaizheng Zhang
Shudong Huang
Qing Ye
Jiangcheng Lv
23
9
0
13 Oct 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
36
0
0
24 May 2023
ReLU Neural Networks with Linear Layers are Biased Towards Single- and Multi-Index Models
ReLU Neural Networks with Linear Layers are Biased Towards Single- and Multi-Index Models
Suzanna Parkinson
Greg Ongie
Rebecca Willett
60
6
0
24 May 2023
Robust Implicit Regularization via Weight Normalization
Robust Implicit Regularization via Weight Normalization
H. Chou
Holger Rauhut
Rachel A. Ward
28
7
0
09 May 2023
Saddle-to-Saddle Dynamics in Diagonal Linear Networks
Saddle-to-Saddle Dynamics in Diagonal Linear Networks
Scott Pesme
Nicolas Flammarion
29
35
0
02 Apr 2023
Implicit Regularization Leads to Benign Overfitting for Sparse Linear
  Regression
Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression
Mo Zhou
Rong Ge
27
2
0
01 Feb 2023
Understanding Incremental Learning of Gradient Descent: A Fine-grained
  Analysis of Matrix Sensing
Understanding Incremental Learning of Gradient Descent: A Fine-grained Analysis of Matrix Sensing
Jikai Jin
Zhiyuan Li
Kaifeng Lyu
S. Du
Jason D. Lee
MLT
48
34
0
27 Jan 2023
On the Ability of Graph Neural Networks to Model Interactions Between
  Vertices
On the Ability of Graph Neural Networks to Model Interactions Between Vertices
Noam Razin
Tom Verbin
Nadav Cohen
19
10
0
29 Nov 2022
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
On the Implicit Bias in Deep-Learning Algorithms
On the Implicit Bias in Deep-Learning Algorithms
Gal Vardi
FedML
AI4CE
32
72
0
26 Aug 2022
Implicit Regularization with Polynomial Growth in Deep Tensor
  Factorization
Implicit Regularization with Polynomial Growth in Deep Tensor Factorization
Kais Hariz
Hachem Kadri
Stéphane Ayache
Maher Moakher
Thierry Artières
26
2
0
18 Jul 2022
Tensor-on-Tensor Regression: Riemannian Optimization,
  Over-parameterization, Statistical-computational Gap, and Their Interplay
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay
Yuetian Luo
Anru R. Zhang
29
19
0
17 Jun 2022
Thinking Outside the Ball: Optimal Learning with Gradient Descent for
  Generalized Linear Stochastic Convex Optimization
Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization
I Zaghloul Amir
Roi Livni
Nathan Srebro
22
6
0
27 Feb 2022
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
37
29
0
27 Jan 2022
Implicit Regularization in Deep Tensor Factorization
Implicit Regularization in Deep Tensor Factorization
P. Milanesi
Hachem Kadri
Stéphane Ayache
Thierry Artières
44
9
0
04 May 2021
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