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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 501–525 of 704 papers

TitleStatusHype
Adapting Conformal Prediction to Distribution Shifts Without Labels—0
Optimal Transport-based Conformal Prediction—0
Generative Conformal Prediction with Vectorized Non-Conformity Scores—0
Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?)—0
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction—0
An In-Depth Examination of Risk Assessment in Multi-Class Classification Algorithms—0
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare—0
Transductive Conformal Inference for Full Ranking—0
Partial-Label Learning with Conformal Candidate Cleaning—0
PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification—0
Physics Constrained Motion Prediction with Uncertainty Quantification—0
Posterior Conformal Prediction—0
Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging—0
Postprocessing of point predictions for probabilistic forecasting of day-ahead electricity prices: The benefits of using isotonic distributional regression—0
Post-selection Inference for Conformal Prediction: Trading off Coverage for Precision—0
Powerful batch conformal prediction for classification—0
An Empirical Study of Conformal Prediction in LLM with ASP Scaffolds for Robust Reasoning—0
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings—0
Predicting assisted ventilation in Amyotrophic Lateral Sclerosis using a mixture of experts and conformal predictors—0
Prediction and outlier detection in classification problems—0
A Cross-Conformal Predictor for Multi-label Classification—0
Android Malware Detection with Unbiased Confidence Guarantees—0
Predictive Inference with Weak Supervision—0
TriQXNet: Forecasting Dst Index from Solar Wind Data Using an Interpretable Parallel Classical-Quantum Framework with Uncertainty Quantification—0
Unveiling Nonlinear Dynamics in Catastrophe Bond Pricing: A Machine Learning Perspective—0
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