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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 376–400 of 704 papers

TitleStatusHype
From Group-Differences to Single-Subject Probability: Conformal Prediction-based Uncertainty Estimation for Brain-Age Modeling—0
From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning—0
Boost AI Power: Data Augmentation Strategies with unlabelled Data and Conformal Prediction, a Case in Alternative Herbal Medicine Discrimination with Electronic Nose—0
Streamlining Conformal Information Retrieval via Score Refinement—0
Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging—0
Gaussian process interpolation with conformal prediction: methods and comparative analysis—0
Generalization and Informativeness of Conformal Prediction—0
Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction—0
GeoConformal prediction: a model-agnostic framework of measuring the uncertainty of spatial prediction—0
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks—0
Graph-Structured Feedback Multimodel Ensemble Online Conformal Prediction—0
Group-Conditional Conformal Prediction via Quantile Regression Calibration for Crop and Weed Classification—0
Group conditional validity via multi-group learning—0
Guaranteed Coverage Prediction Intervals with Gaussian Process Regression—0
Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals—0
HappyMap: A Generalized Multi-calibration Method—0
Urban Traffic Forecasting with Integrated Travel Time and Data Availability in a Conformal Graph Neural Network Framework—0
Hierarchical Spatio-Temporal Uncertainty Quantification for Distributed Energy Adoption—0
High-Dimensional Prediction for Sequential Decision Making—0
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation—0
Bin-Conditional Conformal Prediction of Fatalities from Armed Conflict—0
Human-Calibrated Automated Testing and Validation of Generative Language Models—0
Validation of Conformal Prediction in Cervical Atypia Classification—0
Image Super-Resolution with Guarantees via Conformalized Generative Models—0
Beyond mirkwood: Enhancing SED Modeling with Conformal Predictions—0
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