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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 1–25 of 704 papers

TitleStatusHype
Conformalized Physics-Informed Neural NetworksCode4
MAPIE: an open-source library for distribution-free uncertainty quantificationCode3
TorchCP: A Python Library for Conformal PredictionCode3
Does confidence calibration improve conformal prediction?Code3
C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction SetsCode3
Conformal prediction interval for dynamic time-seriesCode2
Conformal Prediction for Deep Classifier via Label RankingCode2
Fortuna: A Library for Uncertainty Quantification in Deep LearningCode2
Conformal prediction under ambiguous ground truthCode2
Conformal Prediction using Conditional HistogramsCode1
CONFLARE: CONFormal LArge language model REtrievalCode1
Batch Multivalid Conformal PredictionCode1
Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage GuaranteesCode1
Adaptive Bounding Box Uncertainties via Two-Step Conformal PredictionCode1
Conffusion: Confidence Intervals for Diffusion ModelsCode1
Conformal Anomaly Detection on Spatio-Temporal Observations with Missing DataCode1
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning PoliciesCode1
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty QuantificationCode1
Air Traffic Controller Workload Level Prediction using Conformalized Dynamical Graph LearningCode1
Approximating Full Conformal Prediction at Scale via Influence FunctionsCode1
A Large-Scale Study of Probabilistic Calibration in Neural Network RegressionCode1
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement LearningCode1
Class-Conditional Conformal Prediction with Many ClassesCode1
Bayesian Optimization with Conformal Prediction SetsCode1
Adaptive Conformal Predictions for Time SeriesCode1
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