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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 351–375 of 704 papers

TitleStatusHype
Efficient Online Set-valued Classification with Bandit Feedback—0
A Conformal Prediction Score that is Robust to Label NoiseCode0
Onboard Out-of-Calibration Detection of Deep Learning Models using Conformal Prediction—0
A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning—0
Conformal Prediction for Natural Language Processing: A Survey—0
An Information Theoretic Perspective on Conformal Prediction—0
Conformal Risk Control for Ordinal ClassificationCode0
Provably Robust Conformal Prediction with Improved EfficiencyCode0
Conformal Prediction with Learned Features—0
Distribution-free Conformal Prediction for Ordinal Classification—0
Metric-Guided Conformal Bounds for Probabilistic Image ReconstructionCode0
Conformal Predictive Systems Under Covariate ShiftCode1
Training-Conditional Coverage Bounds for Uniformly Stable Learning Algorithms—0
Towards Robust Ferrous Scrap Material Classification with Deep Learning and Conformal Prediction—0
Conformal Prediction via Regression-as-ClassificationCode1
Unveiling Nonlinear Dynamics in Catastrophe Bond Pricing: A Machine Learning Perspective—0
WaveCatBoost for Probabilistic Forecasting of Regional Air Quality DataCode0
Mitigating LLM Hallucinations via Conformal Abstention—0
CONFLARE: CONFormal LArge language model REtrievalCode1
Postprocessing of point predictions for probabilistic forecasting of day-ahead electricity prices: The benefits of using isotonic distributional regression—0
Conformal Prediction for Stochastic Decision-Making of PV Power in Electricity Markets—0
Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data—0
Enhancing Conformal Prediction Using E-Test Statistics—0
Conformal Off-Policy Prediction for Multi-Agent Systems—0
Explore until Confident: Efficient Exploration for Embodied Question Answering—0
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