Yichi Zhou

According to our database, Yichi Zhou authored at least 16 papers between 2017 and 2024.

Collaborative distances:

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

2024

An edge server deployment approach for delay reduction and reliability enhancement in the industrial internet.

Zhongmin Wang, Yichi Zhou, Xiaomin Jin, Yanping Chen, Chen Lu

Wirel. Networks, August, 2024

Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process.

Xiangxin Zhou, Liang Wang, Yichi Zhou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Efficiently incorporating quintuple interactions into geometric deep learning force fields.

Zun Wang, Guoqing Liu, Yichi Zhou, Tong Wang, Bin Shao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Stochastic No-regret Learning for General Games with Variance Reduction.

Yichi Zhou, Fang Kong, Shuai Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Deep reinforcement learning with credit assignment for combinatorial optimization.

Dong Yan, Jiayi Weng, Shiyu Huang, Chongxuan Li, Yichi Zhou, Hang Su, Jun Zhu

Pattern Recognit., 2022

Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback.

Fang Kong, Yichi Zhou, Shuai Li

Proceedings of the International Conference on Machine Learning, 2022

2021

Regularized OFU: an Efficient UCB Estimator forNon-linear Contextual Bandit.

Yichi Zhou, Shihong Song, Huishuai Zhang, Jun Zhu, Wei Chen, Tie-Yan Liu

CoRR, 2021

Online Label Aggregation: A Variational Bayesian Approach.

Chi Hong, Amirmasoud Ghiassi, Yichi Zhou, Robert Birke, Lydia Y. Chen

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

Exploration Analysis in Finite-Horizon Turn-based Stochastic Games.

Jialian Li, Yichi Zhou, Tongzheng Ren, Jun Zhu

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information.

Yichi Zhou, Tongzheng Ren, Jialian Li, Dong Yan, Jun Zhu

Proceedings of the 8th International Conference on Learning Representations, 2020

Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information.

Yichi Zhou, Jialian Li, Jun Zhu

Proceedings of the 8th International Conference on Learning Representations, 2020

2018

Lazy-CFR: a fast regret minimization algorithm for extensive games with imperfect information.

Yichi Zhou, Tongzheng Ren, Jialian Li, Dong Yan, Jun Zhu

CoRR, 2018

Label Aggregation via Finding Consensus Between Models.

Chi Hong, Yichi Zhou

CoRR, 2018

Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors.

Yichi Zhou, Jun Zhu, Jingwei Zhuo

Proceedings of the 35th International Conference on Machine Learning, 2018

Selective Verification Strategy for Learning From Crowds.

Tian Tian, Yichi Zhou, Jun Zhu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Identify the Nash Equilibrium in Static Games with Random Payoffs.

Yichi Zhou, Jialian Li, Jun Zhu

Proceedings of the 34th International Conference on Machine Learning, 2017