Label-Trim, an active-labeling method that verifies and removes suspicious points from a contaminated calibration set, recovers power lost to contamination in conformal outlier detection while keeping type-I error near its nominal level.
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Robust Conformal Outlier Detection under Contaminated Reference Data
Label-Trim, an active-labeling method that verifies and removes suspicious points from a contaminated calibration set, recovers power lost to contamination in conformal outlier detection while keeping type-I error near its nominal level.