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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 526550 of 704 papers

TitleStatusHype
Adaptive conformal classification with noisy labelsCode0
RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification0
CONFIDERAI: a novel CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence0
An Uncertainty-Aware Pseudo-Label Selection Framework using Regularized Conformal PredictionCode0
Group-Conditional Conformal Prediction via Quantile Regression Calibration for Crop and Weed Classification0
Conformal Meta-learners for Predictive Inference of Individual Treatment Effects0
Approximating Score-based Explanation Techniques Using Conformal Regression0
How Safe Am I Given What I See? Calibrated Prediction of Safety Chances for Image-Controlled AutonomyCode0
Tipping Point Forecasting in Non-Stationary Dynamics on Function Spaces0
Conformance Testing for Stochastic Cyber-Physical Systems0
Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction0
Probabilistically robust conformal prediction0
Conformal prediction for frequency-severity modelingCode0
Fairness Under Demographic Scarce RegimeCode0
Model-free generalized fiducial inference0
Conformal Group Recommender System0
Prescriptive Process Monitoring Under Resource Constraints: A Reinforcement Learning ApproachCode0
Conformalization of Sparse Generalized Linear ModelsCode0
Uncertainty Quantification of the Virial Black Hole Mass with Conformal PredictionCode0
TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal PredictionCode0
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners0
Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Data0
Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction0
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation0
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding0
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