| A Thompson sampling algorithm for cascading bandits WC Cheung, V Tan, Z Zhong The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 32 | 2019 |
| Thompson sampling algorithms for cascading bandits Z Zhong, WC Chueng, VYF Tan The Journal of Machine Learning Research 22 (1), 9915-9980, 2021 | 8 | 2021 |
| Best arm identification for cascading bandits in the fixed confidence setting Z Zhong, WC Cheung, V Tan International Conference on Machine Learning, 11481-11491, 2020 | 8 | 2020 |
| Probabilistic sequential shrinking: A best arm identification algorithm for stochastic bandits with corruptions Z Zhong, WC Cheung, V Tan International Conference on Machine Learning, 12772-12781, 2021 | 6 | 2021 |
| On the pareto frontier of regret minimization and best arm identification in stochastic bandits Z Zhong, WC Cheung, VYF Tan arXiv preprint arXiv:2110.08627, 2021 | 4 | 2021 |
| Almost Optimal Variance-Constrained Best Arm Identification Y Hou, VYF Tan, Z Zhong IEEE Transactions on Information Theory, 2022 | 3 | 2022 |
| Thompson sampling for cascading bandits WC Cheung, VYF Tan, Z Zhong, NUSINUS ECE, MNUS Math arXiv preprint arXiv:1810.01187, 2018 | 3 | 2018 |
| Optimal clustering with bandit feedback J Yang, Z Zhong, VYF Tan arXiv preprint arXiv:2202.04294, 2022 | 2 | 2022 |
| Fast beam alignment via pure exploration in multi-armed bandits Y Wei, Z Zhong, VYF Tan IEEE Transactions on Wireless Communications, 2022 | 1 | 2022 |
| Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits Y Hou, VYF Tan, Z Zhong arXiv preprint arXiv:2301.13393, 2023 | | 2023 |
| Achieving the Pareto Frontier of Regret Minimization and Best Arm Identification in Multi-Armed Bandits Z Zhong, WC Cheung, VYF Tan arXiv e-prints, arXiv: 2110.08627, 2021 | | 2021 |
| Zixin Zhong Z Zhong Sun Yat-sen University, 2021 | | 2021 |
