scientific article; zbMATH DE number 7306870
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Publication:5148955
Jonathan Lomond, Benoit Sanchez, Dmitry Kobak
Publication date: 5 February 2021
Full work available at URL: https://arxiv.org/abs/1805.10939
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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- High-dimensional asymptotics of prediction: ridge regression and classification
- High-dimensional dynamics of generalization error in neural networks
- Just interpolate: kernel ``ridgeless regression can generalize
- The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).
- Atomic Decomposition by Basis Pursuit
- An Introduction to Statistical Learning
- Reconciling modern machine-learning practice and the classical bias–variance trade-off
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- A jamming transition from under- to over-parametrization affects generalization in deep learning
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