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"Where Can I Trust You?": Boundary-Aware Evaluation of Surrogate Fidelity

Eshbaugh, Jackson
arXiv (All) · Papers
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machine-learning
Surrogate models are commonly evaluated by how often they agree with their teacher model over an evaluation set. Local variation in this agreement is well known, but its structure and consequences are less clear. We ask whether disagreement is systematically concentrated near the teacher's decision
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