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Found 2 papers, 1 papers with code
Reconciling modern machine learning practice and the bias-variance trade-off
This connection between the performance and the structure of machine learning models delineates the limits of classical analyses, and has implications for both the theory and practice of machine learning.
To understand deep learning we need to understand kernel learning
Certain key phenomena of deep learning are manifested similarly in kernel methods in the modern "overfitted" regime.
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