Conformal prediction improves wind forecasts
Regime-specific calibration fixes high-wind undercoverage while narrowing bands.
16 stories, newest first · one card per story
Regime-specific calibration fixes high-wind undercoverage while narrowing bands.
Under total-variation L-sensitivity no finite-sample procedure guarantees both equilibrium-valid coverage and nontrivial prediction sets when L >=1.
Paper shows conformal prediction set-size reduction tracks information gain and relates to Shannon mutual information.
RLCP adapts sequential-recommendation action sets with calibrated pruning, lifting catalog diversity to 1.11–5.21× the best baselines.
CLIFT turns judge feedback into conformal self-verification for web-agent training and judge-free test-time trajectory selection.
Researchers propose auditable text-watermark checks that operationalize EU AI Act Article 50 without claiming universal robustness.
CLIFT turns judge feedback into reusable rewards and judge-free test-time selection for web agents.
ReCIRC reparameterizes conformal risk control so thresholds target conditional risk while keeping finite-sample marginal guarantees.
Trust Guided Decision Transformer filters drifted context with prediction error before applying value guidance.
Two conformal constructions bound false alerts during adaptive within-document screening for AI-generated text.
Paper derives nonasymptotic error bounds for split conformalized quantile regression under known covariate shift.
Conformal Privacy Auditing certifies per-document re-identification risk against LLM attackers with statistical coverage guarantees.
ENCP calibrates conformal prediction per navigation episode, giving step-level coverage guarantees for vision-language navigation agents despite within-episode dependence.
Framework formalizes integrity blind regions in hybrid quantum-classical workflows, validated across 3,600 label interventions with conformal detection rules.
Researchers apply conformal prediction to offensive security, presenting initial findings on privacy-attacking machine learning and network traffic analysis.
Researchers propose Conformal Relevance, which builds conformal score functions via in-context example curation and ensembling to improve conciseness across seven NLP tasks.
Today 1.6K readers · 2.5K views · 777 reads · all time 189K views