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2012.09839
Cited By
Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning
17 December 2020
Zhiyuan Li
Yuping Luo
Kaifeng Lyu
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Papers citing
"Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning"
41 / 41 papers shown
Title
Gradient Descent Robustly Learns the Intrinsic Dimension of Data in Training Convolutional Neural Networks
Chenyang Zhang
Peifeng Gao
Difan Zou
Yuan Cao
OOD
MLT
62
0
0
11 Apr 2025
Implicit Bias in Matrix Factorization and its Explicit Realization in a New Architecture
Yikun Hou
Suvrit Sra
A. Yurtsever
34
0
0
28 Jan 2025
From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks
Clémentine Dominé
Nicolas Anguita
A. Proca
Lukas Braun
D. Kunin
P. Mediano
Andrew M. Saxe
38
3
0
22 Sep 2024
How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning
Arthur Jacot
Seok Hoan Choi
Yuxiao Wen
AI4CE
94
2
0
08 Jul 2024
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation
Can Yaras
Peng Wang
Laura Balzano
Qing Qu
AI4CE
37
13
0
06 Jun 2024
Hamiltonian Mechanics of Feature Learning: Bottleneck Structure in Leaky ResNets
Arthur Jacot
Alexandre Kaiser
36
0
0
27 May 2024
Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion
Zhiwei Bai
Jiajie Zhao
Yaoyu Zhang
AI4CE
37
0
0
22 May 2024
Early Directional Convergence in Deep Homogeneous Neural Networks for Small Initializations
Akshay Kumar
Jarvis Haupt
ODL
44
3
0
12 Mar 2024
The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank
Amitay Bar
Rotem Mulayoff
T. Michaeli
Ronen Talmon
64
0
0
21 Feb 2024
Which Frequencies do CNNs Need? Emergent Bottleneck Structure in Feature Learning
Yuxiao Wen
Arthur Jacot
60
6
0
12 Feb 2024
Implicit Bias and Fast Convergence Rates for Self-attention
Bhavya Vasudeva
Puneesh Deora
Christos Thrampoulidis
37
13
0
08 Feb 2024
How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization
Nuoya Xiong
Lijun Ding
Simon S. Du
35
11
0
03 Oct 2023
Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization
Hancheng Min
Enrique Mallada
René Vidal
MLT
34
19
0
24 Jul 2023
The Implicit Bias of Batch Normalization in Linear Models and Two-layer Linear Convolutional Neural Networks
Yuan Cao
Difan Zou
Yuan-Fang Li
Quanquan Gu
MLT
37
5
0
20 Jun 2023
Gradient descent in matrix factorization: Understanding large initialization
Hengchao Chen
Xin Chen
Mohamad Elmasri
Qiang Sun
AI4CE
31
1
0
30 May 2023
Robust Sparse Mean Estimation via Incremental Learning
Jianhao Ma
Ruidi Chen
Yinghui He
S. Fattahi
Wei Hu
36
0
0
24 May 2023
Saddle-to-Saddle Dynamics in Diagonal Linear Networks
Scott Pesme
Nicolas Flammarion
31
35
0
02 Apr 2023
Penalising the biases in norm regularisation enforces sparsity
Etienne Boursier
Nicolas Flammarion
40
14
0
02 Mar 2023
Learning time-scales in two-layers neural networks
Raphael Berthier
Andrea Montanari
Kangjie Zhou
38
33
0
28 Feb 2023
Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression
Mo Zhou
Rong Ge
29
2
0
01 Feb 2023
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
54
34
0
27 Jan 2023
Infinite-width limit of deep linear neural networks
Lénaïc Chizat
Maria Colombo
Xavier Fernández-Real
Alessio Figalli
31
14
0
29 Nov 2022
Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models
Hong Liu
Sang Michael Xie
Zhiyuan Li
Tengyu Ma
AI4CE
40
49
0
25 Oct 2022
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
Implicit Bias of Large Depth Networks: a Notion of Rank for Nonlinear Functions
Arthur Jacot
36
25
0
29 Sep 2022
Deep Linear Networks can Benignly Overfit when Shallow Ones Do
Niladri S. Chatterji
Philip M. Long
23
8
0
19 Sep 2022
On the Implicit Bias in Deep-Learning Algorithms
Gal Vardi
FedML
AI4CE
34
72
0
26 Aug 2022
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
Blessing of Nonconvexity in Deep Linear Models: Depth Flattens the Optimization Landscape Around the True Solution
Jianhao Ma
S. Fattahi
44
5
0
15 Jul 2022
Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror Descent
Zhiyuan Li
Tianhao Wang
Jason D. Lee
Sanjeev Arora
42
27
0
08 Jul 2022
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
Reconstructing Training Data from Trained Neural Networks
Niv Haim
Gal Vardi
Gilad Yehudai
Ohad Shamir
Michal Irani
40
132
0
15 Jun 2022
Understanding the Generalization Benefit of Normalization Layers: Sharpness Reduction
Kaifeng Lyu
Zhiyuan Li
Sanjeev Arora
FAtt
40
70
0
14 Jun 2022
Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs
Etienne Boursier
Loucas Pillaud-Vivien
Nicolas Flammarion
ODL
24
58
0
02 Jun 2022
Machine Learning and Deep Learning -- A review for Ecologists
Maximilian Pichler
F. Hartig
45
127
0
11 Apr 2022
Robust Training under Label Noise by Over-parameterization
Sheng Liu
Zhihui Zhu
Qing Qu
Chong You
NoLa
OOD
27
106
0
28 Feb 2022
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks
Noam Razin
Asaf Maman
Nadav Cohen
46
29
0
27 Jan 2022
Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias
Frederic Koehler
Viraj Mehta
Chenghui Zhou
Andrej Risteski
DRL
36
12
0
13 Dec 2021
On Margin Maximization in Linear and ReLU Networks
Gal Vardi
Ohad Shamir
Nathan Srebro
50
28
0
06 Oct 2021
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
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent
Shahar Azulay
E. Moroshko
Mor Shpigel Nacson
Blake E. Woodworth
Nathan Srebro
Amir Globerson
Daniel Soudry
AI4CE
33
73
0
19 Feb 2021
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