Implementations and examples of common offline policy evaluation methods in Python.
-
Updated
Feb 11, 2023 - Python
Implementations and examples of common offline policy evaluation methods in Python.
Taking causal inference to the extreme!
Corresponding code guide to the tutorial paper "Introducing longitudinal modified treatment policies: a unified framework for studying complex exposures" (Hoffman et al., 2023)
R package for fast and easy doubly robust estimation of treatments effects
Official repository of DR-VIDAL - accepted in AMIA' 22 (Oral)
An evaluation of the suboptimality of various imputation methods when applied to handle various mechanisms of missingness
Nonparametric estimators of mediation effects with multiple mediators
Covariate Adjustment in Randomized Trials
Code accompanying our NeurIPS 2023 paper, Counterfactually Comparing Abstaining Classifiers.
Add a description, image, and links to the doubly-robust topic page so that developers can more easily learn about it.
To associate your repository with the doubly-robust topic, visit your repo's landing page and select "manage topics."