most citedDimension-Free Average Treatment Effect Inference with Deep Neural Networks

2 citations · 2 across the 2 of their papers we have counts for

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2 papers

cs.LG2023

Measuring, Interpreting, and Improving Fairness of Algorithms using Causal Inference and Randomized Experiments

James Enouen, Tianshu Sun, Yan Liu

Algorithm fairness has become a central problem for the broad adoption of artificial intelligence. Although the past decade has witnessed an explosion of excellent work studying al…

stat.ML2021★ 2 cited

Dimension-Free Average Treatment Effect Inference with Deep Neural Networks

Xinze Du, Yingying Fan, Jinchi Lv +2

This paper investigates the estimation and inference of the average treatment effect (ATE) using deep neural networks (DNNs) in the potential outcomes framework. Under some regular…