Construct · 1 fields · 1 citations

double descent: a standalone construct

One name. One construct. A landmark on the map.

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Machine learning

the pattern where test error falls, rises near the interpolation point, then falls again as model capacity keeps growing.

In machine learning, double descent refers to the pattern where test error falls, rises near the interpolation point, then falls again as model capacity keeps growing. This meaning comes from Belkin (2019) in Proceedings of the National Academy of Sciences.[1]

Unit
Recovery means
Measured by

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Nearby constructs

generalization6 fields · 16 citationsjingle · one name, six constructs capacity5 fields · 8 citationsjingle · one word, four limits descent3 fields · 4 citationsjingle · one word, three constructs

References

Belkin, M., Hsu, D., Ma, S., & Mandal, S. (2019). Reconciling modern machine-learning practice and the classical bias–variance trade-off. Proceedings of the National Academy of Sciences, 116(32), 15849-15854. https://doi.org/10.1073/pnas.1903070116

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