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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 101–125 of 704 papers

TitleStatusHype
Conformal Prediction Sets for Deep Generative Models via Reduction to Conformal Regression—0
Mirror Online Conformal Prediction with Intermittent Feedback—0
Conformal Prediction and Human Decision Making—0
Model-Agnostic Uncertainty Quantification for Fast NFC Tag Identification using RF Fingerprinting—0
Seeing and Reasoning with Confidence: Supercharging Multimodal LLMs with an Uncertainty-Aware Agentic Framework—0
Segmentation-Guided CT Synthesis with Pixel-Wise Conformal Uncertainty Bounds—0
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning PoliciesCode1
An Empirical Study of Conformal Prediction in LLM with ASP Scaffolds for Robust Reasoning—0
Conformal Prediction for Image Segmentation Using Morphological Prediction SetsCode0
Robust Conformal Prediction with a Single Binary Certificate—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
CONSeg: Voxelwise Glioma Conformal Segmentation—0
State-Dependent Conformal Perception Bounds for Neuro-Symbolic Verification of Autonomous Systems—0
Self-supervised conformal prediction for uncertainty quantification in Poisson imaging problems—0
Universality of conformal prediction under the assumption of randomness—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
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