[ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
-
Updated
Oct 19, 2023 - Python
[ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
An implementation of Self-Calibrating Conformal Prediction, accepted to Neurips 2024. SC-CP combines Venn-Abers calibration and conformal prediction to deliver calibrated point predictions alongside prediction intervals with finite-sample validity conditional on these predictions.
Add a description, image, and links to the predictive-inference topic page so that developers can more easily learn about it.
To associate your repository with the predictive-inference topic, visit your repo's landing page and select "manage topics."