Research map / Learning theory and algorithms / Prediction and decision losses
SCORE: A Unified Framework for Overshoot Refund in Online FDR Control
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- e-GAI: e-value-based Generalized $\alpha$-Investing for Online False Discovery Rate Control (ICML 2025 · similarity 0.90)
- Conformalized Multiple Testing after Data-dependent Selection (NeurIPS 2024 · similarity 0.86)
- Conditional Testing based on Localized Conformal $p$-values (ICLR 2025 · similarity 0.84)
- Finite Resources False Discovery Rate Control on Structured Hypothesis Spaces (NeurIPS 2026 · similarity 0.84)
- Time-Sensitive Anytime-Valid Testing (NeurIPS 2026 · similarity 0.84)
- Calibration without labels in multiple testing (NeurIPS 2026 · similarity 0.83)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.