Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients, Hualin Zhang, Huan Xiong, Bin Gu
Bin Gu

Gradient-Free Method for Heavily Constrained Nonconvex Optimization, Wanli Shi, Hongchang Gao, Bin Gu
Bin Gu

Doubly Robust AUC Optimization against Noisy and Adversarial Samples, Chenkang Zhang, Wanli Shi, Lei Luo, Bin Gu
Bin Gu

A new large-scale learning algorithm for generalized additive models, Bin Gu, Chenkang Zhang, Zhouyuan Huo, Heng Huang
Bin Gu

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

On the Stability and Generalization of Triplet Learning, Jun Chen, Hong Chen, Xue Jiang, Bin Gu, Weifu Li, Tieliang Gong, Feng Zheng
Bin Gu

Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning, Jiahuan Wang, Jun Chen, Hong Chen, Bin Gu, Weifu Li, Xin Tang
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

Doubly Robust AUC Optimization against Noisy and Adversarial Samples, Chenkang Zhang, Wanli Shi, Lei Luo, Bin Gu
Machine Learning Faculty Publications

Incremental learning for transductive support vector machine, Haiyan Chen, Ying Yu, Yizhen Jia, Bin Gu
Bin Gu

Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning, Jiahuan Wang, Jun Chen, Hong Chen, Bin Gu, Weifu Li, Xin Tang
Machine Learning Faculty Publications

On the Stability and Generalization of Triplet Learning, Jun Chen, Hong Chen, Xue Jiang, Bin Gu, Weifu Li, Tieliang Gong, Feng Zheng
Machine Learning Faculty Publications

A new large-scale learning algorithm for generalized additive models, Bin Gu, Chenkang Zhang, Zhouyuan Huo, Heng Huang
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

An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification, Runxue Bao, Bin Gu, Heng Huang
Bin Gu

Incremental learning for transductive support vector machine, Haiyan Chen, Ying Yu, Yizhen Jia, Bin Gu
Machine Learning Faculty Publications

Incremental learning for transductive support vector machine, Haiyan Chen, Ying Yu, Yizhen Jia, 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

Towards Fairer Classifier via True Fairness Score Path, Bin Gu, Zhou Zhai, Xiang Li, Heng Huang
Bin Gu

Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients, Hualin Zhang, Huan Xiong, Bin Gu
Machine Learning Faculty Publications

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

GAGA: Deciphering Age-path of Generalized Self-paced Regularizer, Xingyu Qu, Diyang Li, Xiaohan Zhao, Bin Gu
Bin Gu

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

Towards Fairer Classifier via True Fairness Score Path, Bin Gu, Zhou Zhai, Xiang Li, Heng Huang
Machine Learning Faculty Publications

An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification, Runxue Bao, Bin Gu, Heng Huang
Machine Learning Faculty Publications

Balanced Self-Paced Learning for AUC Maximization, Bin Gu, Chenkang Zhang, Huan Xiong, Heng Huang
Bin Gu

Stochastic Bilevel Distributed Optimization over a Network, Hongchang Gao, Bin Gu, My T. Thai
Bin Gu

GAGA: Deciphering Age-path of Generalized Self-paced Regularizer, Xingyu Qu, Diyang Li, Xiaohan Zhao, Bin Gu
Machine Learning Faculty Publications

Incremental learning for transductive support vector machine, Haiyan Chen, Ying Yu, Yizhen Jia, Bin Gu
Bin Gu

End-to-End Semi-Supervised Ordinal Regression AUC Maximization with Convolutional Kernel Networks, Ziran Xiong, Wanli Shi, Bin Gu
Bin Gu

Balanced Self-Paced Learning for AUC Maximization, Bin Gu, Chenkang Zhang, Huan Xiong, Heng Huang
Huan Xiong

End-to-End Semi-Supervised Ordinal Regression AUC Maximization with Convolutional Kernel Networks, Ziran Xiong, Wanli Shi, Bin Gu
Machine Learning Faculty Publications

Gradient-Free Method for Heavily Constrained Nonconvex Optimization, Wanli Shi, Hongchang Gao, Bin Gu
Machine Learning Faculty Publications

Learning to Control under Time-Varying Environment, Yuzhen Han, Ruben Solozabal, Jing Dong, Xingyu Zhou, Martin Takac, Bin Gu
Bin Gu

Learning to Control under Time-Varying Environment, Yuzhen Han, Ruben Solozabal, Jing Dong, Xingyu Zhou, Martin Takac, Bin Gu
Martin Takac

Balanced Self-Paced Learning for AUC Maximization, Bin Gu, Chenkang Zhang, Huan Xiong, Heng Huang
Machine Learning Faculty Publications

Learning to Control under Time-Varying Environment, Yuzhen Han, Ruben Solozabal, Jing Dong, Xingyu Zhou, Martin Takac, Bin Gu
Machine Learning Faculty Publications

Stochastic Bilevel Distributed Optimization over a Network, Hongchang Gao, Bin Gu, My T. Thai
Machine Learning Faculty Publications

Kernel Path for nu-Support Vector Classification, Bin Gu, Ziran Xiong, Zhai Zhou, Guansheng Zheng, Xiang Li
Bin Gu

Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling, Zhouyuan Huo, Bin Gu, Heng Huang
Bin Gu

Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization, Wanli Shi, Bin Gu
Bin Gu

A Kernel Path Algorithm For General Parametric Quadratic Programming Problem, Bin Gu, Ziran Xiong, Shuyang Yu, Guansheng Zheng
Bin Gu

Kernel Path for nu-Support Vector Classification, Bin Gu, Ziran Xiong, Zhai Zhou, Guansheng Zheng, Xiang Li
Machine Learning Faculty Publications

A Kernel Path Algorithm For General Parametric Quadratic Programming Problem, Bin Gu, Ziran Xiong, Shuyang Yu, Guansheng Zheng
Machine Learning Faculty Publications

Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling, Zhouyuan Huo, Bin Gu, Heng Huang
Machine Learning Faculty Publications

Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization, Wanli Shi, Bin Gu
Machine Learning Faculty Publications