Calibrated Surrogate Losses for Adversarially Robust Classification - researchr publication authors

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Han Bao, Clayton Scott, Masashi Sugiyama. Calibrated Surrogate Losses for Adversarially Robust Classification. In Jacob D. Abernethy, Shivani Agarwal 0001, editors, Conference on Learning Theory, COLT 2020, 9-12 July 2020, Virtual Event [Graz, Austria]. Volume 125 of Proceedings of Machine Learning Research, pages 408-451, PMLR, 2020. [doi]

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