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We study the consistency of surrogate risks for robust binary classification.
Real analysis: modern techniques and their applications , volume 40
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Statistical behavior and consistency of classification methods based on convex risk minimization
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Consistency versus realizable h-consistency for multiclass classification
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Intriguing properties of neural networks
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H-consistency bounds for surrogate loss minimizers
P. Awasthi, A. Mao, M. Mohri, and Y. Zhong · 2022
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Towards consistency in adversarial classification
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The multimarginal optimal transport formulation of adversarial multiclass classification
N. G. Trillos, M. Jacobs, and J. Kim · 2022
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Existence and minimax theorems for adversarial surrogate risks in binary classification
N. S. Frank and J. Niles-Weed · 2023
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Calibration and consistency of adversarial surrogate losses
P. Awasthi, N. Frank, A. Mao, M. Mohri, and Y. Zhong
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