2 papers
stat.ME2024
A joint modeling approach to treatment effects estimation with unmeasured confounders
Namhwa Lee, Shujie Ma
Estimating treatment effects using observation data often relies on the assumption of no unmeasured confounders. However, unmeasured confounding variables may exist in many real-wo…
stat.ML2024
Generalization and Risk Bounds for Recurrent Neural Networks
Xuewei Cheng, Ke Huang, Shujie Ma
Recurrent Neural Networks (RNNs) have achieved great success in the prediction of sequential data. However, their theoretical studies are still lagging behind because of their comp…