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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 51–75 of 704 papers

TitleStatusHype
Improving Adaptive Conformal Prediction Using Self-Supervised LearningCode1
Inductive Conformal Prediction: A Straightforward Introduction with Examples in PythonCode1
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation AlgorithmsCode1
Large language model validity via enhanced conformal prediction methodsCode1
Class-Conditional Conformal Prediction with Many ClassesCode1
Conformal Anomaly Detection on Spatio-Temporal Observations with Missing DataCode1
A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecastingCode1
Multi-class probabilistic classification using inductive and cross Venn-Abers predictorsCode1
Batch Multivalid Conformal PredictionCode1
Bayesian Optimization with Conformal Prediction SetsCode1
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty QuantificationCode1
Non-Exchangeable Conformal Language Generation with Nearest NeighborsCode1
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement LearningCode1
Conformal Trajectory Prediction with Multi-View Data Integration in Cooperative DrivingCode1
CODiT: Conformal Out-of-Distribution Detection in Time-Series DataCode1
CONFLARE: CONFormal LArge language model REtrievalCode1
Boosted Conformal Prediction IntervalsCode1
Air Traffic Controller Workload Level Prediction using Conformalized Dynamical Graph LearningCode1
Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage GuaranteesCode1
Conformal Load Prediction with Transductive Graph AutoencodersCode1
Calibrated Multiple-Output Quantile Regression with Representation LearningCode1
Adaptive Conformal Prediction by Reweighting Nonconformity ScoreCode1
Conformal prediction set for time-seriesCode1
Conformal prediction for multi-dimensional time series by ellipsoidal setsCode1
Federated Conformal Predictors for Distributed Uncertainty QuantificationCode1
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