6 citations · 11 across the 3 of their papers we have counts for
3 papers
stat.ME2020★ 3 cited
Randomized tests for high-dimensional regression: A more efficient and powerful solution
Yue Li, Ilmun Kim, Yuting Wei
We investigate the problem of testing the global null in the high-dimensional regression models when the feature dimension grows proportionally to the number of observations $n…
stat.ML2020★ 6 cited
Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification
Chen Dan, Yuting Wei, Pradeep Ravikumar
Adversarial robustness has become a fundamental requirement in modern machine learning applications. Yet, there has been surprisingly little statistical understanding so far. In th…
math.ST2018★ 2 cited
The local geometry of testing in ellipses: Tight control via localized Kolmogorov widths
Yuting Wei, Martin J. Wainwright
We study the local geometry of testing a mean vector within a high-dimensional ellipse against a compound alternative. Given samples of a Gaussian random vector, the goal is to dis…