1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
A New Causal Rule Learning Approach to Interpretable Estimation of Heterogeneous Treatment Effect
Ying Wu, Hanzhong Liu, Kai Ren +2
Interpretability plays a crucial role in the application of statistical learning to estimate heterogeneous treatment effects (HTE) in complex diseases. In this study, we leverage a…
cs.LG2021
Toward a Fairness-Aware Scoring System for Algorithmic Decision-Making
Yi Yang, Ying Wu, Mei Li +2
Scoring systems, as a type of predictive model, have significant advantages in interpretability and transparency and facilitate quick decision-making. As such, scoring systems have…