arXiv (OAI Expanded)
open access
Multi-source conformal prediction: leveraging heterogeneity via localization
Many modern prediction tasks involve data from multiple heterogeneous sources, while the test distribution may differ substantially from any individual source. Although heterogeneity poses challenges, it also offers an opportunity: different sources may provide complementary information, with some r
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
- Conformal prediction after data-dependent model selection#149175
- Rolling Conformal Prediction in Sequential Model Training#1063162
- Sharp training-conditional coverage for conformal prediction under covariate shift#1118168
- LOCAL RESIDUAL CONFORMAL PREDICTION FOR MULTI-STEP FORECASTING: DEVELOPMENT AND COMPARATIVE EVALUATION#340930
- Accelerating Conformal Prediction via Approximate Leave-One-Out#324890
Record · ID 1084476
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