Reconciling modern machine-learning practice and the classical bias–variance trade-off
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Proceedings of the National Academy of Sciences
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@article{belkin_2019,
title = {Reconciling modern machine-learning practice and the classical bias–variance trade-off},
author = {Belkin, Mikhail and Hsu, Daniel and Ma, Siyuan and Mandal, Soumik},
year = {2019},
journal = {Proceedings of the National Academy of Sciences},
doi = {10.1073/pnas.1903070116},
url = {http://dx.doi.org/10.1073/pnas.1903070116},
pages = {15849–15854},
volume = {116},
number = {32},
publisher = {Proceedings of the National Academy of Sciences}
} From OPENALEX
@article{belkin_2019,
title = {Reconciling modern machine-learning practice and the classical bias–variance trade-off},
author = {Mikhail Belkin and Daniel Hsu and Siyuan Ma and Soumik Mandal},
year = {2019},
journal = {Proceedings of the National Academy of Sciences},
doi = {10.1073/pnas.1903070116}
}