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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 451–475 of 704 papers

TitleStatusHype
Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction—0
Retrain or not retrain: Conformal test martingales for change-point detection—0
Coverage-Guaranteed Speech Emotion Recognition via Calibrated Uncertainty-Adaptive Prediction Sets—0
Risk-Sensitive Conformal Prediction for Catheter Placement Detection in Chest X-rays—0
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners—0
Android Malware Detection with Unbiased Confidence Guarantees—0
Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging—0
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback—0
Robust Conformal Prediction under Distribution Shift via Physics-Informed Structural Causal Model—0
An Empirical Study of Conformal Prediction in LLM with ASP Scaffolds for Robust Reasoning—0
Robust Conformal Prediction with a Single Binary Certificate—0
Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning—0
Robust Deep Reinforcement Learning for Volt-VAR Optimization in Active Distribution System under Uncertainty—0
Robust Flow-based Conformal Inference (FCI) with Statistical Guarantee—0
Robust Indoor Localization via Conformal Methods and Variational Bayesian Adaptive Filtering—0
Robust Online Conformal Prediction under Uniform Label Noise—0
A conformalized learning of a prediction set with applications to medical imaging classification—0
Conformalized Link Prediction on Graph Neural Networks—0
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classification—0
Conformalized Multimodal Uncertainty Regression and Reasoning—0
RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification—0
Safe Adaptive Cruise Control Under Perception Uncertainty: A Deep Ensemble and Conformal Tube Model Predictive Control Approach—0
Safe Merging in Mixed Traffic with Confidence—0
SAFE: Multitask Failure Detection for Vision-Language-Action Models—0
SafePath: Conformal Prediction for Safe LLM-Based Autonomous Navigation—0
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