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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 476–500 of 704 papers

TitleStatusHype
Safe Perception-Based Control under Stochastic Sensor Uncertainty using Conformal Prediction—0
Probabilistically Correct Language-based Multi-Robot Planning using Conformal Prediction—0
An In-Depth Examination of Risk Assessment in Multi-Class Classification Algorithms—0
Safety Monitoring for Learning-Enabled Cyber-Physical Systems in Out-of-Distribution Scenarios—0
Sample-Efficient Safety Assurances using Conformal Prediction—0
Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models—0
Data-light Uncertainty Set Merging with Admissibility: Synthetics, Aggregation, and Test Inversion—0
Scalable and adaptive prediction bands with kernel sum-of-squares—0
Scalable Gaussian Process Hyperparameter Optimization via Coverage Regularization—0
SConU: Selective Conformal Uncertainty in Large Language Models—0
Seeing and Reasoning with Confidence: Supercharging Multimodal LLMs with an Uncertainty-Aware Agentic Framework—0
Seeing with Partial Certainty: Conformal Prediction for Robotic Scene Recognition in Built Environments—0
Segmentation-Guided CT Synthesis with Pixel-Wise Conformal Uncertainty Bounds—0
Selecting informative conformal prediction sets with false coverage rate control—0
Self-supervised Conformal Prediction for Uncertainty Quantification in Imaging Problems—0
Self-supervised conformal prediction for uncertainty quantification in Poisson imaging problems—0
Semiparametric conformal prediction—0
Semi-Supervised Conformal Prediction With Unlabeled Nonconformity Score—0
Distribution-free Conformal Prediction for Ordinal Classification—0
Universality of conformal prediction under the assumption of randomness—0
Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operators—0
Single Trajectory Conformal Prediction—0
Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints—0
SPARC: Prediction-Based Safe Control for Coupled Controllable and Uncontrollable Agents with Conformal Predictions—0
An Information Theoretic Perspective on Conformal Prediction—0
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