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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
On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning—0
Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering—0
On the Temperature of Bayesian Graph Neural Networks for Conformal Prediction—0
Conformal Group Recommender System—0
On the Utility of Prediction Sets in Human-AI Teams—0
On the Validity of Conformal Prediction for Network Data Under Non-Uniform Sampling—0
On Training-Conditional Conformal Prediction and Binomial Proportion Confidence Intervals—0
On Uncertainty In Natural Language Processing—0
Conformal Inductive Graph Neural Networks—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
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare—0
A Conformal Approach to Feature-based Newsvendor under Model Misspecification—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
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
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