Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity, William de Vazelhes, Hualin Zhang, Huimin Wu, Xiao Tong Yuan, Bin Gu
Bin Gu

Self-Adaptive Perturbation Radii for Adversarial Training, Huimin Wu, Wanli Shi, Chenkang Zhang, Bin Gu
Bin Gu

Self-Adaptive Perturbation Radii for Adversarial Training, Huimin Wu, Wanli Shi, Chenkang Zhang, Bin Gu
Machine Learning Faculty Publications

Efficient Semi-Supervised Adversarial Training without Guessing Labels, Huimin Wu, William Vazelhes, Bin Gu
Bin Gu

Efficient Semi-Supervised Adversarial Training without Guessing Labels, Huimin Wu, William Vazelhes, Bin Gu
Machine Learning Faculty Publications

Towards Practical Large Scale Non-Linear Semi-Supervised Learning with Balancing Constraints, Zhengqing Gao, Huimin Wu, Martin Takac, Bin Gu
Martin Takac

Towards Practical Large Scale Non-Linear Semi-Supervised Learning with Balancing Constraints, Zhengqing Gao, Huimin Wu, Martin Takac, Bin Gu
Bin Gu

Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity, William de Vazelhes, Hualin Zhang, Huimin Wu, Xiao Tong Yuan, Bin Gu
Machine Learning Faculty Publications

Towards Practical Large Scale Non-Linear Semi-Supervised Learning with Balancing Constraints, Zhengqing Gao, Huimin Wu, Martin Takac, Bin Gu
Machine Learning Faculty Publications

Fast And Scalable Adversarial Training Of Kernel SVM Via Doubly Stochastic Gradients, Huimin Wu, Zhengmian Hu, Bin Gu
Machine Learning Faculty Publications