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cs.LG2023★ 3 cited
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models
Zonghan Yang, Tianyu Pang, Yang Liu
Deep equilibrium models (DEQs) refrain from the traditional layer-stacking paradigm and turn to find the fixed point of a single layer. DEQs have achieved promising performance on…
cs.LG2021★ 4 cited
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization
Fuchao Wei, Chenglong Bao, Yang Liu
Anderson mixing (AM) is an acceleration method for fixed-point iterations. Despite its success and wide usage in scientific computing, the convergence theory of AM remains unclear,…