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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 376–400 of 704 papers

TitleStatusHype
Trustworthy Classification through Rank-Based Conformal Prediction SetsCode0
Conformal Prediction for Causal Effects of Continuous TreatmentsCode0
Uncertainty-Aware Decarbonization for Datacenters—0
Improve ROI with Causal Learning and Conformal Prediction—0
Probabilistic Conformal Prediction with Approximate Conditional Validity—0
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage GuaranteesCode0
Length Optimization in Conformal PredictionCode0
Conformalized Link Prediction on Graph Neural Networks—0
Causal Responder Detection—0
Conformal time series decomposition with component-wise exchangeabilityCode0
Valid Error Bars for Neural Weather Models using Conformal Prediction—0
Debate as Optimization: Adaptive Conformal Prediction and Diverse Retrieval for Event Extraction—0
α-OCC: Uncertainty-Aware Camera-based 3D Semantic Occupancy Prediction—0
Evidential Uncertainty Sets in Deep Classifiers Using Conformal PredictionCode0
Learning Temporal Logic Predicates from Data with Statistical Guarantees—0
The Penalized Inverse Probability Measure for Conformal Classification—0
Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions—0
Conformal Prediction for Class-wise Coverage via Augmented Label Rank CalibrationCode0
Robust Conformal Prediction Using Privileged InformationCode0
Normalizing Flows for Conformal RegressionCode0
Learning Cellular Network Connection Quality with Conformal—0
Certifiably Byzantine-Robust Federated Conformal PredictionCode0
Adapting Conformal Prediction to Distribution Shifts Without Labels—0
Single Trajectory Conformal Prediction—0
CONFINE: Conformal Prediction for Interpretable Neural Networks—0
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