2021
Robust Inference for High-Dimensional Linear Models via Residual Randomization
ICML 2021spotlight
We propose a residual randomization procedure designed for robust inference using Lasso estimates in the high-dimensional setting. Compared to earlier work that focuses on sub-Gaussian errors, the proposed procedure is designed to work robustly in settings that also include heavy-tailed covariates a…