Zixin Zhong

According to our database, Zixin Zhong authored at least 15 papers between 2018 and 2024.

Collaborative distances:

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

2024

Optimal Clustering with Bandit Feedback.

Junwen Yang, Zixin Zhong, Vincent Y. F. Tan

J. Mach. Learn. Res., 2024

Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits.

Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong

CoRR, 2024

Addressing Intermediate Verification Latency in Online Learning Through Immediate Pseudo-labeling and Oriented Synthetic Correction.

Zixin Zhong, Liyan Song, Fengzhen Tang, Bo Yuan

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Fast Beam Alignment via Pure Exploration in Multi-Armed Bandits.

Yi Wei, Zixin Zhong, Vincent Y. F. Tan

IEEE Trans. Wirel. Commun., May, 2023

Almost Optimal Variance-Constrained Best Arm Identification.

Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong

IEEE Trans. Inf. Theory, April, 2023

Achieving the Pareto Frontier of Regret Minimization and Best Arm Identification in Multi-Armed Bandits.

Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan

Trans. Mach. Learn. Res., 2023

Stochastic Gradient Succeeds for Bandits.

Jincheng Mei, Zixin Zhong, Bo Dai, Alekh Agarwal, Csaba Szepesvári, Dale Schuurmans

Proceedings of the International Conference on Machine Learning, 2023

Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits.

Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong

Proceedings of the International Conference on Machine Learning, 2023

2022

Fast Beam Alignment via Pure Exploration in Multi-armed Bandits.

Yi Wei, Zixin Zhong, Vincent Y. F. Tan, Chan Wang

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

Thompson Sampling Algorithms for Cascading Bandits.

Zixin Zhong, Wang Chi Chueng, Vincent Y. F. Tan

J. Mach. Learn. Res., 2021

On the Pareto Frontier of Regret Minimization and Best Arm Identification in Stochastic Bandits.

Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan

CoRR, 2021

Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions.

Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting.

Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan

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

2019

A Thompson Sampling Algorithm for Cascading Bandits.

Wang Chi Cheung, Vincent Y. F. Tan, Zixin Zhong

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Thompson Sampling for Cascading Bandits.

Wang Chi Cheung, Vincent Y. F. Tan, Zixin Zhong

CoRR, 2018