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cs.LG2024★ 1 cited
Regularization for Adversarial Robust Learning
Jie Wang, Rui Gao, Yao Xie
Despite the growing prevalence of artificial neural networks in real-world applications, their vulnerability to adversarial attacks remains a significant concern, which motivates u…
stat.ML2024
Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances
Jie Wang, March Boedihardjo, Yao Xie
Optimal transport has been very successful for various machine learning tasks; however, it is known to suffer from the curse of dimensionality. Hence, dimensionality reduction is d…
stat.ML2024
Non-Convex Robust Hypothesis Testing using Sinkhorn Uncertainty Sets
Jie Wang, Rui Gao, Yao Xie
We present a new framework to address the non-convex robust hypothesis testing problem, wherein the goal is to seek the optimal detector that minimizes the maximum of worst-case ty…