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Tag: cp

  • Beyond Procedure: Substantive Fairness in Conformal Prediction

    Beyond Procedure: Substantive Fairness in Conformal Prediction arXiv:2602.16794v1 Announce Type: new Abstract: Conformal prediction (CP) offers distribution-free uncertainty quantification for machine learning models, yet its interplay with fairness in downstream decision-making remains underexplored. Moving beyond CP as a standalone operation (procedural fairness), we analyze the holistic decision-making pipeline to evaluate substantive fairness-the equity of downstream…

  • CP$^2$: Leveraging Geometry for Conformal Prediction via Canonicalization

    CP$^2$: Leveraging Geometry for Conformal Prediction via Canonicalization arXiv:2506.16189v1 Announce Type: new Abstract: We study the problem of conformal prediction (CP) under geometric data shifts, where data samples are susceptible to transformations such as rotations or flips. While CP endows prediction models with post-hoc uncertainty quantification and formal coverage guarantees, their practicality breaks under distribution…