Liang, Tengyuan, and Sur, Pragya. A precise high-dimensional asymptotic theory for boosting and minimum-ℓ1-norm interpolated classifiers. Retrieved from https://par.nsf.gov/biblio/10417121. The Annals of Statistics 50.3 Web. doi:10.1214/22-AOS2170.
Liang, Tengyuan, & Sur, Pragya. A precise high-dimensional asymptotic theory for boosting and minimum-ℓ1-norm interpolated classifiers. The Annals of Statistics, 50 (3). Retrieved from https://par.nsf.gov/biblio/10417121. https://doi.org/10.1214/22-AOS2170
Liang, Tengyuan, and Sur, Pragya.
"A precise high-dimensional asymptotic theory for boosting and minimum-ℓ1-norm interpolated classifiers". The Annals of Statistics 50 (3). Country unknown/Code not available. https://doi.org/10.1214/22-AOS2170.https://par.nsf.gov/biblio/10417121.
@article{osti_10417121,
place = {Country unknown/Code not available},
title = {A precise high-dimensional asymptotic theory for boosting and minimum-ℓ1-norm interpolated classifiers},
url = {https://par.nsf.gov/biblio/10417121},
DOI = {10.1214/22-AOS2170},
abstractNote = {},
journal = {The Annals of Statistics},
volume = {50},
number = {3},
author = {Liang, Tengyuan and Sur, Pragya},
}
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