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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 1–50 of 704 papers

TitleStatusHype
Conformalized Physics-Informed Neural NetworksCode4
MAPIE: an open-source library for distribution-free uncertainty quantificationCode3
C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction SetsCode3
TorchCP: A Python Library for Conformal PredictionCode3
Does confidence calibration improve conformal prediction?Code3
Conformal prediction interval for dynamic time-seriesCode2
Conformal prediction under ambiguous ground truthCode2
Conformal Prediction for Deep Classifier via Label RankingCode2
Fortuna: A Library for Uncertainty Quantification in Deep LearningCode2
End-to-End Conformal Calibration for Optimization Under UncertaintyCode1
Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them)Code1
Conformal Predictive Systems Under Covariate ShiftCode1
coverforest: Conformal Predictions with Random Forest in PythonCode1
Adaptive Bounding Box Uncertainties via Two-Step Conformal PredictionCode1
Consistent Accelerated Inference via Confident Adaptive TransformersCode1
Ensemble Conformalized Quantile Regression for Probabilistic Time Series ForecastingCode1
Conformal Prediction Intervals for Remaining Useful Lifetime EstimationCode1
Conformal Load Prediction with Transductive Graph AutoencodersCode1
Conformal Prediction using Conditional HistogramsCode1
Conformal PID Control for Time Series PredictionCode1
Conformal Prediction Under Feedback Covariate Shift for Biomolecular DesignCode1
Conformal Prediction for Time Series with Modern Hopfield NetworksCode1
Conformal Prediction with Large Language Models for Multi-Choice Question AnsweringCode1
Conformal Prediction with Missing ValuesCode1
Conformal Risk ControlCode1
Conformal Time-series ForecastingCode1
Copula Conformal Prediction for Multi-step Time Series ForecastingCode1
A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecastingCode1
Conformal prediction set for time-seriesCode1
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty QuantificationCode1
CODiT: Conformal Out-of-Distribution Detection in Time-Series DataCode1
Adaptive Conformal Prediction by Reweighting Nonconformity ScoreCode1
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning PoliciesCode1
Conffusion: Confidence Intervals for Diffusion ModelsCode1
A Large-Scale Study of Probabilistic Calibration in Neural Network RegressionCode1
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement LearningCode1
Adaptive Conformal Predictions for Time SeriesCode1
Class-Conditional Conformal Prediction with Many ClassesCode1
Conformal Anomaly Detection on Spatio-Temporal Observations with Missing DataCode1
Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage GuaranteesCode1
Air Traffic Controller Workload Level Prediction using Conformalized Dynamical Graph LearningCode1
Conformal Language ModelingCode1
Bayesian Optimization with Conformal Prediction SetsCode1
Conformal prediction for multi-dimensional time series by ellipsoidal setsCode1
Conformal Trajectory Prediction with Multi-View Data Integration in Cooperative DrivingCode1
Conformal Prediction for Zero-Shot ModelsCode1
Batch Multivalid Conformal PredictionCode1
Conformal Prediction via Regression-as-ClassificationCode1
Approximating Full Conformal Prediction at Scale via Influence FunctionsCode1
Boosted Conformal Prediction IntervalsCode1
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