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coverage probability

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uncertainty quantification (7) prediction interval (5) conformal prediction (5) prediction set (4) random forest (2) graph neural network (2) bayesian inference (2) conditional validity (1) set predictor (1) confidence level (1)

Papers

Reliable Uncertainty Quantification in Machine Learning via Conformal Prediction AAAI 2025 TorchCP: A Python Library for Conformal Prediction JMLR 2025 Multi-model Ensemble Conformal Prediction in Dynamic Environments NeurIPS 2024 Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift NeurIPS 2024 Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability NeurIPS 2023 Stability of Random Forests and Coverage of Random-Forest Prediction Intervals NeurIPS 2023 Uncertainty Quantification over Graph with Conformalized Graph Neural Networks NeurIPS 2023 HDI-Forest: Highest Density Interval Regression Forest IJCAI 2019 Efficiency of conformalized ridge regression COLT 2014 Conditional Validity of Inductive Conformal Predictors ACML 2012