Split Conformal Interval Length under Huber Contamination
This research investigates how contamination during training and calibration affects split conformal prediction interval lengths under Huber contamination. It establishes rigorous bounds showing that joint contamination compounds, quantifying exactly how much the predicted interval length deviates from a perfect clean oracle based on sample sizes and contamination levels.