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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 401–425 of 704 papers

TitleStatusHype
Language Models with Conformal Factuality Guarantees—0
Conformalized Adaptive Forecasting of Heterogeneous TrajectoriesCode0
Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction—0
Conformal Predictive Programming for Chance Constrained Optimization—0
Self-Calibrating Conformal PredictionCode1
Introspective Planning: Aligning Robots' Uncertainty with Inherent Task AmbiguityCode1
On Temperature Scaling and Conformal Prediction of Deep Classifiers—0
Does confidence calibration improve conformal prediction?Code3
Discounted Adaptive Online Learning: Towards Better RegularizationCode0
Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction—0
Online conformal prediction with decaying step sizesCode0
Non-Exchangeable Conformal Language Generation with Nearest NeighborsCode1
Conformal Prediction Sets Improve Human Decision MakingCode0
Cross-Validation Conformal Risk Control—0
Generalization and Informativeness of Conformal Prediction—0
Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image Labeling—0
Toward Clinically Trustworthy Deep Learning: Applying Conformal Prediction to Intracranial Hemorrhage Detection—0
Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage GuaranteesCode1
Uncertainty quantification for probabilistic machine learning in earth observation using conformal predictionCode1
Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point ProcessesCode0
Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction—0
Forecasting CPI inflation under economic policy and geopolitical uncertaintiesCode1
SymmPI: Predictive Inference for Data with Group SymmetriesCode0
Efficient Conformal Prediction under Data Heterogeneity—0
Beyond mirkwood: Enhancing SED Modeling with Conformal Predictions—0
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