arXiv (All)
open access
A Three-Way Testing Framework for Quantifying Epistemic Calibration Uncertainty in SBI
Current experimental scientists increasingly rely on simulation-based inference (SBI) to invert complex models with intractable likelihoods. A primary goal in these settings is to obtain credible regions with valid coverage. While recent model-agnostic conformal calibration methods have succeeded in
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
- Domain-Specific Hallucination Detection in Large Language Models#999557
- Context Matters: Improving the Practical Reliability of LLM-Based Unit Test Generation#394495
- Validate the Dream Before You Trust Its Verdict: Admissibility for World-Model Simulators#349695
- COINS: Any-Stage-Valid and Utility-Oriented Sequential Conformal Prediction#975172
Record · ID 1050597
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