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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
Conformal-in-the-Loop for Learning with Imbalanced Noisy DataCode0
Powerful batch conformal prediction for classification—0
Strategic Conformal Prediction—0
Know Where You're Uncertain When Planning with Multimodal Foundation Models: A Formal Framework—0
Conformal Risk Minimization with Variance ReductionCode0
Uncertainty measurement for complex event prediction in safety-critical systems—0
Projected random forests and conformal prediction of circular dataCode0
Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operators—0
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks—0
Conformal Prediction for Multimodal RegressionCode0
Target Strangeness: A Novel Conformal Prediction Difficulty EstimatorCode0
An Investigation on Machine Learning Predictive Accuracy Improvement and Uncertainty Reduction using VAE-based Data Augmentation—0
Building Conformal Prediction Intervals with Approximate Message PassingCode0
SPARC: Prediction-Based Safe Control for Coupled Controllable and Uncontrollable Agents with Conformal Predictions—0
Conformal Predictive Portfolio Selection—0
Bin-Conditional Conformal Prediction of Fatalities from Armed Conflict—0
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information—0
Generative Conformal Prediction with Vectorized Non-Conformity Scores—0
Data-light Uncertainty Set Merging with Admissibility: Synthetics, Aggregation, and Test Inversion—0
Conjunction Subspaces Test for Conformal and Selective ClassificationCode0
Inductive Conformal Prediction under Data Scarcity: Exploring the Impacts of Nonconformity Measures—0
Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning—0
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback—0
Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective—0
Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models—0
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