From uplift ranking to uncertainty-aware decisions on the Criteo dataset

Uncertainty-aware personalization with practical decisioning

From Uplift Modeling to Counterfactual Explanations

From Estimation to Practical Application

From Assumptions to Counterfactuals: A Practical Causal Modeling Workflow

Evaluating uplift models using ranking-based metrics across real datasets

Abstract

Correcting Selection Bias with IPW and Doubly Robust Estimation

Abstract

Estimating Treatment Effects with Linear Regression

Abstract

Practical intuition for avoiding biased conclusions in observational and experimental data

Abstract

Randomized Experiments and Statistical Review