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double descent
52 papers
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generalization error
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neural network
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random feature
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neural network optimization
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ensemble learning
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ridge regression
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high-dimensional regression
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kernel methods
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random matrix theory
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Papers
A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent
NIPS 2020
On the number of variables to use in principal component regression
NIPS 2019
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