Scalable, GPU-accelerated Python library for modern difference-in-differences.
calibratedDML: doubly robust inference via calibration
Nonparametric Doubly Robust Inference on Dose-Response Curve and its Derivative
Code for the ICML 2025 paper: "Adjustment for Confounding using Pre-Trained Representations"
A comparative performance study of Propensity Score Matching, Doubly Robust Estimation, and Stratification algorithms. Evaluates Average Treatment Effect (ATE) accuracy and computational runtime across high-dimensional and low-dimensional datasets using L1-penalized propensity score estimation.
Add a description, image, and links to the doubly-robust-inference topic page so that developers can more easily learn about it.
To associate your repository with the doubly-robust-inference topic, visit your repo's landing page and select "manage topics."