| 2024 | ICML | Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process. | Xiangxin Zhou, Liang Wang, Yichi Zhou |
| 2023 | ICLR | Stochastic No-regret Learning for General Games with Variance Reduction. | Yichi Zhou, Fang Kong, Shuai Li |
| 2022 | ICML | Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback. | Fang Kong, Yichi Zhou, Shuai Li |
| 2021 | WWW | Online Label Aggregation: A Variational Bayesian Approach. | Chi Hong, Amirmasoud Ghiassi, Yichi Zhou, Robert Birke, Lydia Y. Chen |
| 2020 | ICLR | Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information. | Yichi Zhou, Jialian Li, Jun Zhu |
| 2020 | ICLR | Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information. | Yichi Zhou, Tongzheng Ren, Jialian Li, Dong Yan, Jun Zhu |
| 2020 | UAI | Exploration Analysis in Finite-Horizon Turn-based Stochastic Games. | Jialian Li, Yichi Zhou, Tongzheng Ren, Jun Zhu |
| 2018 | AAAI | Selective Verification Strategy for Learning From Crowds. | Tian Tian, Yichi Zhou, Jun Zhu |
| 2018 | ICML | Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors. | Yichi Zhou, Jun Zhu, Jingwei Zhuo |
| 2017 | ICML | Identify the Nash Equilibrium in Static Games with Random Payoffs. | Yichi Zhou, Jialian Li, Jun Zhu |