21 citations · 70 across the 11 of their papers we have counts for
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stat.ME2022★ 1 cited
A Focusing Framework for Testing Bi-Directional Causal Effects with GWAS Summary Data
Sai Li, Ting Ye
Mendelian randomization (MR) is a powerful method that uses genetic variants as instrumental variables (IVs) to infer the causal effect of a modifiable exposure on an outcome. Alth…
stat.ME2022★ 2 cited
Estimation and Inference with Proxy Data and its Genetic Applications
Sai Li, T. Tony Cai, Hongzhe Li
Existing high-dimensional statistical methods are largely established for analyzing individual-level data. In this work, we study estimation and inference for high-dimensional line…
cs.LG2022★ 21 cited
Improving Out-of-Distribution Robustness via Selective Augmentation
Huaxiu Yao, Yu Wang, Sai Li +4
Machine learning algorithms typically assume that training and test examples are drawn from the same distribution. However, distribution shift is a common problem in real-world app…