arXiv (All)
open access
Conformal Prediction via Transported Beta Laws
Split conformal prediction provides finite-sample marginal coverage under exchangeability, but this guarantee averages over the random calibration sample. We study instead the law of the calibration-conditional coverage induced by a realized conformal threshold. In the continuous i.i.d. setting this
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Retrieving predictive densities from conformal predictive distributions#1049093
- Learning the Emergent Bulk Geometry of the Three Dimensional Ising Model#1033980
- Density-Reweighted Entropic Optimal Transport: Decoupling Geometry from Sampling Density#625091
- Density-Reweighted Entropic Optimal Transport: Decoupling Geometry from Sampling Density#622818
- Density-Reweighted Entropic Optimal Transport: Decoupling Geometry from Sampling Density#459675
Record · ID 1130556
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive