Zixin Zhong

27 papers A* 5A 1B 2Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Label Smoothing Improves Gradient Ascent in LLM Unlearning.
CoRR
Zirui Pang, Hao Zheng, Zhijie Deng, Ling Li, Zixin Zhong, Jiaheng Wei
2025 J jnl
Learning Efficient Communication Protocols for Multi-Agent Reinforcement Learning.
CoRR
Xinren Zhang, Jiadong Yu, Zixin Zhong
2025 J jnl
Network Topology and Information Efficiency of Multi-Agent Systems: Study based on MARL.
CoRR
Xinren Zhang, Sixi Cheng, Zixin Zhong, Jiadong Yu
2024 B conf
Addressing Intermediate Verification Latency in Online Learning Through Immediate Pseudo-labeling and Oriented Synthetic Correction.
IJCNN
Zixin Zhong, Liyan Song, Fengzhen Tang, Bo Yuan
2024 A* conf
Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits.
NeurIPS
Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong
2024 J jnl
Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits.
CoRR
Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong
2024 J jnl
Optimal Clustering with Bandit Feedback.
J. Mach. Learn. Res.
Junwen Yang, Zixin Zhong, Vincent Y. F. Tan
2024 — conf
Shared Task on NCAA 2024: Chinese Diabetes Question Classification.
NCAA (2)
Shunhao Li, Zixin Zhong, Enliang Yan, Tianyong Hao
2024 J jnl
Stochastic Gradient Succeeds for Bandits.
CoRR
Jincheng Mei, Zixin Zhong, Bo Dai, Alekh Agarwal, Csaba Szepesvári, Dale Schuurmans
2023 J jnl
Achieving the Pareto Frontier of Regret Minimization and Best Arm Identification in Multi-Armed Bandits.
Trans. Mach. Learn. Res.
Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan
2023 J jnl
Almost Optimal Variance-Constrained Best Arm Identification.
IEEE Trans. Inf. Theory
Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong
2023 J jnl
Fast Beam Alignment via Pure Exploration in Multi-Armed Bandits.
IEEE Trans. Wirel. Commun.
Yi Wei, Zixin Zhong, Vincent Y. F. Tan
2023 A* conf
Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits.
ICML
Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong
2023 J jnl
Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits.
CoRR
Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong
2023 A* conf
Stochastic Gradient Succeeds for Bandits.
ICML
Jincheng Mei, Zixin Zhong, Bo Dai, Alekh Agarwal, Csaba Szepesvári, Dale Schuurmans
2022 J jnl
Almost Optimal Variance-Constrained Best Arm Identification.
CoRR
Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong
2022 B conf
Fast Beam Alignment via Pure Exploration in Multi-armed Bandits.
ISIT
Yi Wei, Zixin Zhong, Vincent Y. F. Tan, Chan Wang
2022 J jnl
Fast Beam Alignment via Pure Exploration in Multi-armed Bandits.
CoRR
Yi Wei, Zixin Zhong, Vincent Y. F. Tan
2022 J jnl
Optimal Clustering with Bandit Feedback.
CoRR
Junwen Yang, Zixin Zhong, Vincent Y. F. Tan
2021 J jnl
On the Pareto Frontier of Regret Minimization and Best Arm Identification in Stochastic Bandits.
CoRR
Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan
2021 A* conf
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions.
ICML
Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan
2021 J jnl
Thompson Sampling Algorithms for Cascading Bandits.
J. Mach. Learn. Res.
Zixin Zhong, Wang Chi Chueng, Vincent Y. F. Tan
2020 A* conf
Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting.
ICML
Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan
2020 J jnl
Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting.
CoRR
Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan
2020 J jnl
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions.
CoRR
Zixin Zhong, Wang Chi Cheung, Vincent Y. F. Tan
2019 A conf
A Thompson Sampling Algorithm for Cascading Bandits.
AISTATS
Wang Chi Cheung, Vincent Y. F. Tan, Zixin Zhong
2018 J jnl
Thompson Sampling for Cascading Bandits.
CoRR
Wang Chi Cheung, Vincent Y. F. Tan, Zixin Zhong