Shiyin Lu

According to our database, Shiyin Lu authored at least 17 papers between 2018 and 2024.

Collaborative distances:

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

2024

Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees.

Yibo Wang, Wenhao Yang, Wei Jiang, Shiyin Lu, Bing Wang, Haihong Tang, Yuanyu Wan, Lijun Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Non-stationary Projection-free Online Learning with Dynamic and Adaptive Regret Guarantees.

Yibo Wang, Wenhao Yang, Wei Jiang, Shiyin Lu, Bing Wang, Haihong Tang, Yuanyu Wan, Lijun Zhang

CoRR, 2023

2022

Non-stationary Continuum-armed Bandits for Online Hyperparameter Optimization.

Shiyin Lu, Yu-Hang Zhou, Jing-Cheng Shi, Wenya Zhu, Qingtao Yu, Qing-Guo Chen, Qing Da, Lijun Zhang

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Non-stationary Dueling Bandits for Online Learning to Rank.

Shiyin Lu, Yuan Miao, Ping Yang, Yao Hu, Lijun Zhang

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

Revisiting Smoothed Online Learning.

Lijun Zhang, Wei Jiang, Shiyin Lu, Tianbao Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Stochastic Graphical Bandits with Adversarial Corruptions.

Shiyin Lu, Guanghui Wang, Lijun Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Stochastic Bandits with Graph Feedback in Non-Stationary Environments.

Shiyin Lu, Yao Hu, Lijun Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Searching Privately by Imperceptible Lying: A Novel Private Hashing Method with Differential Privacy.

Yimu Wang, Shiyin Lu, Lijun Zhang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

SAdam: A Variant of Adam for Strongly Convex Functions.

Guanghui Wang, Shiyin Lu, Quan Cheng, Weiwei Tu, Lijun Zhang

Proceedings of the 8th International Conference on Learning Representations, 2020

Minimizing Dynamic Regret and Adaptive Regret Simultaneously.

Lijun Zhang, Shiyin Lu, Tianbao Yang

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

Adapting to Smoothness: A More Universal Algorithm for Online Convex Optimization.

Guanghui Wang, Shiyin Lu, Yao Hu, Lijun Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

More Adaptive Algorithms for Tracking the Best Expert.

Shiyin Lu, Lijun Zhang

CoRR, 2019

SAdam: A Variant of Adam for Strongly Convex Functions.

Guanghui Wang, Shiyin Lu, Weiwei Tu, Lijun Zhang

CoRR, 2019

Adaptivity and Optimality: A Universal Algorithm for Online Convex Optimization.

Guanghui Wang, Shiyin Lu, Lijun Zhang

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Multi-Objective Generalized Linear Bandits.

Shiyin Lu, Guanghui Wang, Yao Hu, Lijun Zhang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Optimal Algorithms for Lipschitz Bandits with Heavy-tailed Rewards.

Shiyin Lu, Guanghui Wang, Yao Hu, Lijun Zhang

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

2018

Adaptive Online Learning in Dynamic Environments.

Lijun Zhang, Shiyin Lu, Zhi-Hua Zhou

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018