Common-Center Geometry and Certified Radial Reconstruction for Energy-Form Full Conformal Regions
This note studies the geometry of full conformal prediction (FullCP) regions generated by an empirical energy-form pairwise score. Candidate-score convexity alone does not guarantee connected FullCP regions, even for empirical averages of losses convex in the candidate argument. For the energy-form score, each leave-one-out training comparison reduces exactly to a pairwise-dissimilarity sublevel condition. Under symmetry, a constant diagonal, a diagonal lower bound, and attainment of the associated Fréchet-type objective, all comparison regions share a minimizer; if they are convex, every nontrivial exact conformal region is star-shaped about that point. For power distances $ρ_β(x,y)=\|x-...
| Authors | Yiheng Feng |
|---|---|
| Primary category | stat.ML |
| Published | 25 August 2026 |
| Last updated at source | 1 September 2026 |
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