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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SPACR is a single-pass training method for conformal regressors that jointly optimizes validity and efficiency to yield valid intervals at multiple confidence levels from one model.
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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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SPACR: Single-Pass Adaptive Training of Uncertainty-Aware Conformal Regressors
SPACR is a single-pass training method for conformal regressors that jointly optimizes validity and efficiency to yield valid intervals at multiple confidence levels from one model.