AI RESEARCH
Multi-Variable Conformal Prediction: Optimizing Prediction Sets without Data Splitting
arXiv CS.LG
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ArXi:2605.12341v1 Announce Type: cross Conformal prediction constructs prediction sets with finite-sample coverage guarantees, but its calibration stage is structurally constrained to a scalar score function and a single threshold variable - forcing shapes of prediction sets to be fixed before calibration, typically through data splitting. We