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

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

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

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

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

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

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

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

AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization, Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang
Bin Gu

Optimizing Large-Scale Hyperparameters Via Automated Learning Algorithm, Bin Gu, Guodong Liu, Yanfu Zhang, Xiang Geng, Heng Huang
Bin Gu

A Fully Single Loop Algorithm for Bilevel Optimization Without Hessian Inverse, Junyi Li, Bin Gu, Heng Huang
Machine Learning Faculty Publications

An Accelerated Variance-Reduced Conditional Gradient Sliding Algorithm For First-Order And Zeroth-Order Optimization, Xiyuan Wei, Bin Gu, Heng Huang
Machine Learning Faculty Publications

Triply Stochastic Gradient Method For Large-Scale Nonlinear Similar Unlabeled Classification, Wanli Shi, Bin Gu, Xiang Li, Cheng Deng, Heng Huang
Machine Learning Faculty Publications

AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization, Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang
Machine Learning Faculty Publications

Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity, Bin Gu, Xiyuan Wei, Shangqian Gao, Ziran Xiong, Heng Huang
Machine Learning Faculty Publications

Learning Sampling Policy for Faster Derivative Free Optimization, Zhou Zhai, Bin Gu, Heng Huang
Machine Learning Faculty Publications

Secure Bilevel Asynchronous Vertical Federated Learning With Backward Updating, Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang
Machine Learning Faculty Publications

Scaling Up Generalized Kernel Methods, Bin Gu, Zhiyuan Dang, Zhouyuan Huo, Cheng Deng, Heng Huang
Machine Learning Faculty Publications

Optimizing Large-Scale Hyperparameters Via Automated Learning Algorithm, Bin Gu, Guodong Liu, Yanfu Zhang, Xiang Geng, Heng Huang
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

Finding Age Path of Self-Paced Learning, Bin Gu, Zhou Zhai, Xiang Li, Heng Huang
Machine Learning Faculty Publications