6 citations · 34 across the 24 of their papers we have counts for
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cs.LG2021★ 1 cited
Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients
Huimin Wu, Zhengmian Hu, Bin Gu
Adversarial attacks by generating examples which are almost indistinguishable from natural examples, pose a serious threat to learning models. Defending against adversarial attacks…
math.OC2021★ 5 cited
AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization
Feihu Huang, Xidong Wu, Zhengmian Hu
In the paper, we propose a class of faster adaptive Gradient Descent Ascent (GDA) methods for solving the nonconvex-strongly-concave minimax problems by using the unified adaptive…
cs.LG2021
A New Framework for Variance-Reduced Hamiltonian Monte Carlo
Zhengmian Hu, Feihu Huang, Heng Huang
We propose a new framework of variance-reduced Hamiltonian Monte Carlo (HMC) methods for sampling from an -smooth and -strongly log-concave distribution, based on a unified f…