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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 26–50 of 704 papers

TitleStatusHype
Test-time augmentation improves efficiency in conformal prediction—0
Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification—0
Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints—0
Risk-Sensitive Conformal Prediction for Catheter Placement Detection in Chest X-rays—0
Semi-Supervised Conformal Prediction With Unlabeled Nonconformity Score—0
Scalable and adaptive prediction bands with kernel sum-of-squares—0
MetaSTNet: Multimodal Meta-learning for Cellular Traffic Conformal Prediction—0
CP-Router: An Uncertainty-Aware Router Between LLM and LRM—0
WQLCP: Weighted Adaptive Conformal Prediction for Robust Uncertainty Quantification Under Distribution Shifts—0
Optimal Conformal Prediction under Epistemic UncertaintyCode0
Conformal Prediction for Uncertainty Estimation in Drug-Target Interaction Prediction—0
A Generic Framework for Conformal FairnessCode0
Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAPCode0
Multivariate Latent Recalibration for Conditional Normalizing FlowsCode0
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings—0
Domain Adaptive Skin Lesion Classification via Conformal Ensemble of Vision Transformers—0
Adaptive Temperature Scaling with Conformal Prediction—0
Privacy-Preserving Conformal Prediction Under Local Differential PrivacyCode0
CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition—0
Backward Conformal PredictionCode0
Conformalized Decision Risk Assessment—0
Synthetic-Powered Predictive InferenceCode0
Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals—0
Stacked conformal predictionCode0
Improving Coverage in Combined Prediction Sets with Weighted p-values—0
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