A Thompson sampling algorithm for cascading bandits WC Cheung, V Tan, Z Zhong The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 36 | 2019 |
Thompson sampling algorithms for cascading bandits Z Zhong, WC Chueng, VYF Tan The Journal of Machine Learning Research 22 (1), 9915-9980, 2021 | 13 | 2021 |
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 | 10 | 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 |
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 | 6 | 2021 |
Optimal clustering with bandit feedback J Yang, Z Zhong, VYF Tan arXiv preprint arXiv:2202.04294, 2022 | 5 | 2022 |
Fast beam alignment via pure exploration in multi-armed bandits Y Wei, Z Zhong, VYF Tan IEEE Transactions on Wireless Communications, 2022 | 3 | 2022 |
Almost optimal variance-constrained best arm identification Y Hou, VYF Tan, Z Zhong IEEE Transactions on Information Theory 69 (4), 2603-2634, 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 |
Achieving the Pareto Frontier of Regret Minimization and Best Arm Identification in Multi-Armed Bandits Z Zhong, WC Cheung, VYF Tan arXiv preprint arXiv:2110.08627, 2021 | 1 | 2021 |
Stochastic gradient succeeds for bandits J Mei, Z Zhong, B Dai, A Agarwal, C Szepesvari, D Schuurmans International Conference on Machine Learning, 24325-24360, 2023 | | 2023 |
Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits Y Hou, VYF Tan, Z Zhong arXiv preprint arXiv:2301.13393, 2023 | | 2023 |
Zixin Zhong Z Zhong Sun Yat-sen University, 2021 | | 2021 |