Tyler Sypherd, Mario Diaz. A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization. Retrieved from https://par.nsf.gov/biblio/10346505. IEEE transactions on information theory . Web. doi:DOI 10.1109/TIT.2022.3169440.
Tyler Sypherd, Mario Diaz. A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization. IEEE transactions on information theory, (). Retrieved from https://par.nsf.gov/biblio/10346505. https://doi.org/DOI 10.1109/TIT.2022.3169440
@article{osti_10346505,
place = {Country unknown/Code not available},
title = {A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization},
url = {https://par.nsf.gov/biblio/10346505},
DOI = {DOI 10.1109/TIT.2022.3169440},
abstractNote = {},
journal = {IEEE transactions on information theory},
author = {Tyler Sypherd, Mario Diaz},
}
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