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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 151–175 of 704 papers

TitleStatusHype
A Conformal Prediction Approach to Explore Functional Data—0
Early-Exit Neural Networks with Nested Prediction Sets—0
Any2Any: Incomplete Multimodal Retrieval with Conformal Prediction—0
Cautious Deep Learning—0
Adaptive Uncertainty Quantification for Generative AI—0
Conformal Prediction for Uncertainty Estimation in Drug-Target Interaction Prediction—0
Adaptive Temperature Scaling with Conformal Prediction—0
Causally-Aware Spatio-Temporal Multi-Graph Convolution Network for Accurate and Reliable Traffic Prediction—0
A conformalized learning of a prediction set with applications to medical imaging classification—0
CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control—0
Conformal Meta-learners for Predictive Inference of Individual Treatment Effects—0
Anomalous Edge Detection in Edge Exchangeable Social Network Models—0
Conformal Prediction for STL Runtime Verification—0
Conformal Loss-Controlling Prediction—0
Adaptive Conformal Regression with Jackknife+ Rescaled Scores—0
Conformal k-NN Anomaly Detector for Univariate Data Streams—0
An Investigation on Machine Learning Predictive Accuracy Improvement and Uncertainty Reduction using VAE-based Data Augmentation—0
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey—0
Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees—0
Conformal Nucleus Sampling—0
Conformal Object Detection by Sequential Risk Control—0
Conformal Off-Policy Evaluation in Markov Decision Processes—0
Causal Responder Detection—0
Conformal Off-Policy Prediction for Multi-Agent Systems—0
Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces—0
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