arXiv (All)
open access
COINS: Any-Stage-Valid and Utility-Oriented Sequential Conformal Prediction
Many predictive workflows update uncertainty as information is acquired and use intermediate reports to determine whether to stop or deploy further resources. We study conformal inference in this setting, treating the resulting prediction sequence as the inferential object. We require any-stage vali
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
- How Synthetic Labels Improve Conformal Prediction: A Perspective on Conditional Coverage#1118194
- Evaluating a 4B open-weights local LLM for agentic DFT workflows: a literature reproducibility audit#798301
- Evaluating a 4B open-weights local LLM for agentic DFT workflows: a literature reproducibility audit#796888
- LOCAL RESIDUAL CONFORMAL PREDICTION FOR MULTI-STEP FORECASTING: DEVELOPMENT AND COMPARATIVE EVALUATION#340930
- RECAP: Regression Evaluation for Continual Adaptation of Prompts#819389
Record · ID 975172
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