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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 126–150 of 704 papers

TitleStatusHype
Joint Registration and Conformal Prediction for Partially Observed Functional Data—0
Conformal Prediction under Levy-Prokhorov Distribution Shifts: Robustness to Local and Global PerturbationsCode0
Likelihood-Ratio Regularized Quantile Regression: Adapting Conformal Prediction to High-Dimensional Covariate Shifts—0
Conformal Prediction as Bayesian Quadrature—0
A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems—0
The Relationship between No-Regret Learning and Online Conformal Prediction—0
Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreakCode0
Relational Conformal Prediction for Correlated Time Series—0
Image Super-Resolution with Guarantees via Conformalized Generative Models—0
On Training-Conditional Conformal Prediction and Binomial Proportion Confidence Intervals—0
Partial-Label Learning with Conformal Candidate Cleaning—0
Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System PerceptionCode0
Conformal Prediction Regions are Imprecise Highest Density Regions—0
Epistemic Uncertainty in Conformal Scores: A Unified ApproachCode0
Flow-based Conformal Prediction for Multi-dimensional Time Series—0
Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language ModelsCode0
Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction—0
Conformal Prediction for Electricity Price Forecasting in the Day-Ahead and Real-Time Balancing Market—0
Robust Conformal Outlier Detection under Contaminated Reference DataCode0
Self-supervised Conformal Prediction for Uncertainty Quantification in Imaging Problems—0
Efficient distributional regression trees learning algorithms for calibrated non-parametric probabilistic forecasts—0
Calibrated Physics-Informed Uncertainty Quantification—0
Multivariate Conformal Prediction using Optimal Transport—0
Conformal Uncertainty Indicator for Continual Test-Time Adaptation—0
Parametric Scaling Law of Tuning Bias in Conformal PredictionCode0
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