activity
20222026
most citedDebiased regression adjustment in completely randomized experiments with moderately high-dimensional covariates

2 citations · 6 across the 9 of their papers we have counts for

collaborators
Showing 2025 · math.STShow all

2 papers · 2 filters

math.ST2025

Latent confounding in high-dimensional nonlinear models

Yuhao Wang, Rajen Shah

We consider the the problem of identifying causal effects given a high-dimensional treatment vector in the presence of low-dimensional latent confounders. We assume a parametric st…

math.ST2025

Optimal structure learning and conditional independence testing

Ming Gao, Yuhao Wang, Bryon Aragam

We establish a fundamental connection between optimal structure learning and optimal conditional independence testing by showing that the minimax optimal rate for structure learnin…