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2008.05621
Cited By

The Slow Deterioration of the Generalization Error of the Random Feature
Model

The Slow Deterioration of the Generalization Error of the Random Feature Model

Mathematical and Scientific Machine Learning (MSML), 2020

13 August 2020

Chao Ma

ArXiv (abs)PDF HTML

Papers citing "The Slow Deterioration of the Generalization Error of the Random Feature Model"

13 / 13 papers shown

A Mathematical Framework for Learning Probability Distributions

A Mathematical Framework for Learning Probability DistributionsJournal of Machine Learning (JML), 2022

362

9

0

22 Dec 2022

Side Effects of Learning from Low-dimensional Data Embedded in a
Euclidean Space

Side Effects of Learning from Low-dimensional Data Embedded in a Euclidean SpaceResearch in the Mathematical Sciences (Res. Math. Sci.), 2022

628

9

0

01 Mar 2022

Overview frequency principle/spectral bias in deep learning

Overview frequency principle/spectral bias in deep learningCommunication on Applied Mathematics and Computation (CAMC), 2022

509

137

0

19 Jan 2022

Subspace Decomposition based DNN algorithm for elliptic type multi-scale
PDEs

Subspace Decomposition based DNN algorithm for elliptic type multi-scale PDEs

271

34

0

10 Dec 2021

Conditioning of Random Feature Matrices: Double Descent and
Generalization Error

Conditioning of Random Feature Matrices: Double Descent and Generalization Error

Hayden Schaeffer

345

13

0

21 Oct 2021

Towards Understanding the Condensation of Neural Networks at Initial
Training

Towards Understanding the Condensation of Neural Networks at Initial TrainingNeural Information Processing Systems (NeurIPS), 2021

426

34

0

25 May 2021

Frequency Principle in Deep Learning Beyond Gradient-descent-based
Training

Frequency Principle in Deep Learning Beyond Gradient-descent-based Training

Zhi-Qin John Xu

254

8

0

04 Jan 2021

Avoiding The Double Descent Phenomenon of Random Feature Models Using
Hybrid Regularization

Avoiding The Double Descent Phenomenon of Random Feature Models Using Hybrid Regularization

185

6

0

11 Dec 2020

On the exact computation of linear frequency principle dynamics and its
generalization

On the exact computation of linear frequency principle dynamics and its generalization

235

24

0

15 Oct 2020

Towards a Mathematical Understanding of Neural Network-Based Machine
Learning: what we know and what we don't

Towards a Mathematical Understanding of Neural Network-Based Machine Learning: what we know and what we don'tCSIAM Transactions on Applied Mathematics (CSIAM Trans. Appl. Math.), 2020

Chao Ma

Stephan Wojtowytsch

432

148

0

22 Sep 2020

How Powerful are Shallow Neural Networks with Bandlimited Random
Weights?

How Powerful are Shallow Neural Networks with Bandlimited Random Weights?

366

10

0

19 Aug 2020

Deep frequency principle towards understanding why deeper learning is
faster

Deep frequency principle towards understanding why deeper learning is fasterAAAI Conference on Artificial Intelligence (AAAI), 2020

Zhi-Qin John Xu

310

67

0

28 Jul 2020

The Quenching-Activation Behavior of the Gradient Descent Dynamics for
Two-layer Neural Network Models

The Quenching-Activation Behavior of the Gradient Descent Dynamics for Two-layer Neural Network Models

Chao Ma

283

11

0

25 Jun 2020

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