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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 326–350 of 704 papers

TitleStatusHype
Probabilistic Conformal Prediction with Approximate Conditional Validity—0
Conditional Conformal Risk Adaptation—0
Are foundation models for computer vision good conformal predictors?—0
Adversarially Robust Conformal Prediction—0
Conformal Prediction for Stochastic Decision-Making of PV Power in Electricity Markets—0
Conformal Prediction for STL Runtime Verification—0
Conformal Prediction for Network-Assisted Regression—0
Conformal Prediction for Natural Language Processing: A Survey—0
Concepts and Applications of Conformal Prediction in Computational Drug Discovery—0
Comprehensive Botnet Detection by Mitigating Adversarial Attacks, Navigating the Subtleties of Perturbation Distances and Fortifying Predictions with Conformal Layers—0
Conformal Prediction for Manifold-based Source Localization with Gaussian Processes—0
Conformal Prediction for Indoor Positioning with Correctness Coverage Guarantees—0
Combining Prediction Intervals on Multi-Source Non-Disclosed Regression Datasets—0
Approximating Score-based Explanation Techniques Using Conformal Regression—0
Conformal Prediction for Hierarchical Data—0
Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation—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 Federated Uncertainty Quantification Under Label Shift—0
Conformal Prediction for Electricity Price Forecasting in the Day-Ahead and Real-Time Balancing Market—0
Conformal Prediction for Distribution-free Optimal Control of Linear Stochastic Systems—0
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees—0
Max-Rank: Efficient Multiple Testing for Conformal Prediction—0
Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI—0
A Cross-Conformal Predictor for Multi-label Classification—0
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