DCO decouples tuning for efficiency from calibration for coverage in conformal prediction, maintaining marginal guarantees and reducing average set sizes on benchmarks like ImageNet-A and Diabetes.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.LG 3years
2026 3representative citing papers
ACP-UCB1 achieves logarithmic upper-quantile regret in stochastic bandits by combining adaptive conformal quantile estimates with UCB-style optimism.
Introduces a role-separated audit for release-side risk in conformal triage under prevalence shift and applies it to an NSCLC pilot showing that reduced review rates can release event-positive cases.
citing papers explorer
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Decoupled Conformal Optimisation: Efficient Prediction Sets via Independent Tuning and Calibration
DCO decouples tuning for efficiency from calibration for coverage in conformal prediction, maintaining marginal guarantees and reducing average set sizes on benchmarks like ImageNet-A and Diabetes.
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Conformal-Style Quantile Analyses for Stochastic Bandits
ACP-UCB1 achieves logarithmic upper-quantile regret in stochastic bandits by combining adaptive conformal quantile estimates with UCB-style optimism.
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A Deployment Audit of Release-Side Risk in Conformal Triage under Prevalence Shift
Introduces a role-separated audit for release-side risk in conformal triage under prevalence shift and applies it to an NSCLC pilot showing that reduced review rates can release event-positive cases.