Yuguang Yue

According to our database, Yuguang Yue authored at least 9 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Learning to Rank For Push Notifications Using Pairwise Expected Regret.

Yuguang Yue, Yuanpu Xie, Huasen Wu, Haofeng Jia, Shaodan Zhai, Wenzhe Shi, Jonathan J. Hunt

CoRR, 2022

2020

Semi-supervised learning using adversarial training with good and bad samples.

Wenyuan Li, Zichen Wang, Yuguang Yue, Jiayun Li, William Speier, Mingyuan Zhou, Corey W. Arnold

Mach. Vis. Appl., 2020

Discrete Action On-Policy Learning with Action-Value Critic.

Yuguang Yue, Yunhao Tang, Mingzhang Yin, Mingyuan Yin

CoRR, 2020

Implicit Distributional Reinforcement Learning.

Yuguang Yue, Zhendong Wang, Mingyuan Zhou

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On hyperparameter tuning in general clustering problemsm.

Xinjie Fan, Yuguang Yue, Purnamrita Sarkar, Y. X. Rachel Wang

Proceedings of the 37th International Conference on Machine Learning, 2020

Discrete Action On-Policy Learning with Action-Value Critic.

Yuguang Yue, Yunhao Tang, Mingzhang Yin, Mingyuan Zhou

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

T-optimal designs for multi-factor polynomial regression models via a semidefinite relaxation method.

Yuguang Yue, Lieven Vandenberghe, Weng Kee Wong

Stat. Comput., 2019

A Unified Framework for Tuning Hyperparameters in Clustering Problems.

Xinjie Fan, Yuguang Yue, Purnamrita Sarkar, Y. X. Rachel Wang

CoRR, 2019

ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables.

Mingzhang Yin, Yuguang Yue, Mingyuan Zhou

Proceedings of the 36th International Conference on Machine Learning, 2019