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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 301–325 of 704 papers

TitleStatusHype
Calibrated Predictive Lower Bounds on Time-to-Unsafe-Sampling in LLMs—0
Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction—0
Copula-based conformal prediction for Multi-Target Regression—0
Conformalized Link Prediction on Graph Neural Networks—0
Entropy Reweighted Conformal Classification—0
Distribution-Free Finite-Sample Guarantees and Split Conformal Prediction—0
Distribution-Free Guarantees for Systems with Decision-Dependent Noise—0
Distribution-Free Matrix Prediction Under Arbitrary Missing Pattern—0
Distribution-free Conformal Prediction for Ordinal Classification—0
Distribution-free risk assessment of regression-based machine learning algorithms—0
CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition—0
Distribution free uncertainty quantification in neuroscience-inspired deep operators—0
Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework—0
Disturbance-Adaptive Data-Driven Predictive Control: Trading Comfort Violations for Savings in Building Climate Control—0
Disturbance-adaptive Model Predictive Control for Bounded Average Constraint Violations—0
Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series—0
Domain Adaptive Skin Lesion Classification via Conformal Ensemble of Vision Transformers—0
Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting—0
CONSeg: Voxelwise Glioma Conformal Segmentation—0
Efficiency of conformalized ridge regression—0
Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions—0
Efficient Conformal Prediction under Data Heterogeneity—0
Bridging conformal prediction and scenario optimization—0
Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer—0
Enhancing the conformal predictability of context-aware recommendation systems by using Deep Autoencoders—0
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