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random feature model
random feature model
12 papers
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deep neural network
(1803)
generalization error
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asymptotic analysis
(86)
ridge regression
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double descent
(52)
implicit regularization
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random matrix theory
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convex regularization
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over-parameterized model
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deep network
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Papers
Gibbs-Based Information Criteria and the Over-Parameterized Regime
AISTATS 2024
Multiple Descent in the Multiple Random Feature Model
JMLR 2024
A Rainbow in Deep Network Black Boxes
JMLR 2024
Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves
AISTATS 2023
Bayes-optimal Learning of Deep Random Networks of Extensive-width
ICML 2023
Deterministic equivalent and error universality of deep random features learning
ICML 2023
Sampling weights of deep neural networks
NIPS 2023
Precise Asymptotic Analysis of Deep Random Feature Models
COLT 2023
Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models
ICML 2021
On the Inherent Regularization Effects of Noise Injection During Training
ICML 2021
Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model
NIPS 2021
Implicit Regularization of Random Feature Models
ICML 2020
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