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cs.LG2023
Corruption-Robust Lipschitz Contextual Search
Shiliang Zuo
I study the problem of learning a Lipschitz function with corrupted binary signals. The learner tries to learn a -Lipschitz function that the adv…
cs.LG2021
TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness
Zhuolin Yang, Linyi Li, Xiaojun Xu +6
Adversarial Transferability is an intriguing property - adversarial perturbation crafted against one model is also effective against another model, while these models are from diff…
cs.LG2020
Notes on Worst-case Inefficiency of Gradient Descent Even in R^2
Shiliang Zuo
Gradient descent is a popular algorithm in optimization, and its performance in convex settings is mostly well understood. In non-convex settings, it has been shown that gradient d…