Sypherd, Tyler, Diaz, Mario, Cava, John Kevin, Dasarathy, Gautam, Kairouz, Peter, and Sankar, Lalitha. A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization. Retrieved from https://par.nsf.gov/biblio/10373981. IEEE Transactions on Information Theory 68.9 Web. doi:10.1109/TIT.2022.3169440.

Sypherd, Tyler, Diaz, Mario, Cava, John Kevin, Dasarathy, Gautam, Kairouz, Peter, & Sankar, Lalitha. A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization. IEEE Transactions on Information Theory, 68 (9). Retrieved from https://par.nsf.gov/biblio/10373981. https://doi.org/10.1109/TIT.2022.3169440

Sypherd, Tyler, Diaz, Mario, Cava, John Kevin, Dasarathy, Gautam, Kairouz, Peter, and Sankar, Lalitha. "A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization". IEEE Transactions on Information Theory 68 (9). Country unknown/Code not available. https://doi.org/10.1109/TIT.2022.3169440. https://par.nsf.gov/biblio/10373981.

@article{osti_10373981,
place = {Country unknown/Code not available}, title = {A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization}, url = {https://par.nsf.gov/biblio/10373981}, DOI = {10.1109/TIT.2022.3169440}, abstractNote = {}, journal = {IEEE Transactions on Information Theory}, volume = {68}, number = {9}, author = {Sypherd, Tyler and Diaz, Mario and Cava, John Kevin and Dasarathy, Gautam and Kairouz, Peter and Sankar, Lalitha}, }