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Conformal Prediction

Conformal Prediction is a machine learning framework that provides valid measures of confidence for individual predictions. It offers a principled approach to quantify uncertainty in predictions without assuming any specific distribution for the data. This section features papers that explore various aspects of conformal prediction, including theoretical advancements, algorithmic developments, and applications across different domains.

Papers

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Showing 201–225 of 704 papers

TitleStatusHype
An Empirical Study of Conformal Prediction in LLM with ASP Scaffolds for Robust Reasoning—0
Correctness Coverage Evaluation for Medical Multiple-Choice Question Answering Based on the Enhanced Conformal Prediction Framework—0
Conformal Prediction with Upper and Lower Bound Models—0
Conformal forecasting for surgical instrument trajectory—0
Conformal prediction of future insurance claims in the regression problem—0
Improving the statistical efficiency of cross-conformal predictionCode0
State-Dependent Conformal Perception Bounds for Neuro-Symbolic Verification of Autonomous Systems—0
CONSeg: Voxelwise Glioma Conformal Segmentation—0
Universality of conformal prediction under the assumption of randomness—0
Self-supervised conformal prediction for uncertainty quantification in Poisson imaging problems—0
Conformal Prediction Under Generalized Covariate Shift with Posterior Drift—0
Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage—0
AUKT: Adaptive Uncertainty-Guided Knowledge Transfer with Conformal Prediction—0
Volume Optimality in Conformal Prediction with Structured Prediction Sets—0
Rectifying Conformity Scores for Better Conditional Coverage—0
Joint Registration and Conformal Prediction for Partially Observed Functional Data—0
Sparse Activations as Conformal PredictorsCode0
Conformal Prediction under Levy-Prokhorov Distribution Shifts: Robustness to Local and Global PerturbationsCode0
Conformal Prediction as Bayesian Quadrature—0
Likelihood-Ratio Regularized Quantile Regression: Adapting Conformal Prediction to High-Dimensional Covariate Shifts—0
The Relationship between No-Regret Learning and Online Conformal Prediction—0
A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems—0
Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreakCode0
Relational Conformal Prediction for Correlated Time Series—0
Image Super-Resolution with Guarantees via Conformalized Generative Models—0
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