100 citations · 167 across the 3 of their papers we have counts for
3 papers
stat.ML2024
Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization
Jiancong Xiao, Ruoyu Sun, Qi Long +1
Training Deep Neural Networks (DNNs) with adversarial examples often results in poor generalization to test-time adversarial data. This paper investigates this issue, known as adve…
cs.LG2019★ 100 cited
Gaussian Differential Privacy
Jinshuo Dong, Aaron Roth, Weijie J. Su
Differential privacy has seen remarkable success as a rigorous and practical formalization of data privacy in the past decade. This privacy definition and its divergence based rela…
stat.ME2013★ 67 cited
Statistical estimation and testing via the sorted L1 norm
Malgorzata Bogdan, Ewout van den Berg, Weijie Su +1
We introduce a novel method for sparse regression and variable selection, which is inspired by modern ideas in multiple testing. Imagine we have observations from the linear model…