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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

Showing 376400 of 704 papers

TitleStatusHype
Conformal online model aggregationCode0
Robust Conformal Prediction under Distribution Shift via Physics-Informed Structural Causal Model0
Selecting informative conformal prediction sets with false coverage rate control0
CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk ClassificationCode0
Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?)0
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic CircuitsCode0
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare0
Adaptive Bounding Box Uncertainties via Two-Step Conformal PredictionCode1
CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control0
Safe Merging in Mixed Traffic with Confidence0
End-to-end Conditional Robust Optimization0
Conformal prediction for multi-dimensional time series by ellipsoidal setsCode1
Confidence on the Focal: Conformal Prediction with Selection-Conditional CoverageCode0
Distribution-Free Guarantees for Systems with Decision-Dependent Noise0
API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access0
Conformalized Selective Regression0
Uncertainty Quantification in Anomaly Detection with Cross-Conformal p-ValuesCode0
Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks0
Probabilistically Correct Language-based Multi-Robot Planning using Conformal Prediction0
Uncertainty-Aware Evaluation for Vision-Language ModelsCode1
Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests0
TorchCP: A Python Library for Conformal PredictionCode3
Multi-View Conformal Learning for Heterogeneous Sensor FusionCode0
Conformalized Credal Set PredictorsCode0
On the Impact of Uncertainty and Calibration on Likelihood-Ratio Membership Inference Attacks0
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