Audited Conformal Prediction for Classification under Unknown Distribution Shift
arXiv 2606.14909•5ac95a493888b16715bf3e236aabe89399a5a74c8b2a0d6b3a39c00f60679c97
FDR controlRicci flowSPD matricesadaptive conformalaudit modelconformal candidate certificationconformal predictionconvex relaxationdistribution shiftgenerative modelinggraph alignmentnon-exchangeable datanonparametric VIoffline model-based optimizationrerankingretrieval-augmented generationreverse telescoping coordinate systemspectral methodsstochastic trace estimationstructured hypothesis testingtensor trainuncertainty quantificationvariational inference
Paper metadata
- arXiv ID
- 2606.14909
- Version
- Not specified by this published record
- Category
- Statistics — Machine Learning (stat.ML)
The PDF link points to arxiv.org. Baitaphish does not expose a private stored PDF.
Evidence and limitations
- Source ID
- arxiv_stat_ml
- Record identifier
- 5ac95a493888b16715bf3e236aabe89399a5a74c8b2a0d6b3a39c00f60679c97
- Enrichment time
- 2026-06-16T07:23:54Z
- AI-assisted enrichment
- Yes
This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.