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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 176–200 of 704 papers

TitleStatusHype
Cautious Deep Learning—0
Any2Any: Incomplete Multimodal Retrieval with Conformal Prediction—0
Conformal Loss-Controlling Prediction—0
Adaptive Conformal Regression with Jackknife+ Rescaled Scores—0
Conformal Policy Learning for Sensorimotor Control Under Distribution Shifts—0
Conformal Prediction: A Data Perspective—0
Conformal Prediction and Human Decision Making—0
Conformal k-NN Anomaly Detector for Univariate Data Streams—0
Conformal Prediction as Bayesian Quadrature—0
A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems—0
Conformal Prediction Bands for Two-Dimensional Functional Time Series—0
An Investigation on Machine Learning Predictive Accuracy Improvement and Uncertainty Reduction using VAE-based Data Augmentation—0
Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces—0
Closing the Loop on Runtime Monitors with Fallback-Safe MPC—0
Conformalizing Machine Translation Evaluation—0
Conformalized Unconditional Quantile Regression—0
Conformal Prediction for Distribution-free Optimal Control of Linear Stochastic Systems—0
Conformal Prediction for Electricity Price Forecasting in the Day-Ahead and Real-Time Balancing Market—0
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift—0
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information—0
Applying Regression Conformal Prediction with Nearest Neighbors to time series data—0
Conformal Prediction for Hierarchical Data—0
Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation—0
Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions—0
Online Calibrated and Conformal Prediction Improves Bayesian Optimization—0
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