3 citations · 5 across the 4 of their papers we have counts for
4 papers
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…
Searching for subgroup-specific associations while controlling the false discovery rate
Matteo Sesia, Tianshu Sun
This paper introduces an innovative method for conducting conditional independence testing in high-dimensional data, facilitating the automated discovery of significant association…
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…
Displaying Things in Common to Encourage Friendship Formation: A Large Randomized Field Experiment
Tianshu Sun, Sean J. Taylor
Friendship formation is important to online social network sites and to society, but can suffer from informational friction. In this study, we demonstrate that social networks may…