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Yichi Zhou
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2020 – today
- 2024
- [j2]Zhongmin Wang, Yichi Zhou
, Xiaomin Jin, Yanping Chen, Chen Lu:
An edge server deployment approach for delay reduction and reliability enhancement in the industrial internet. Wirel. Networks 30(6): 5743-5757 (2024) - [c11]Xiangxin Zhou, Liang Wang, Yichi Zhou:
Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process. ICML 2024 - [i6]Xiangxin Zhou, Liang Wang, Yichi Zhou:
Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process. CoRR abs/2403.04154 (2024) - 2023
- [c10]Yichi Zhou, Fang Kong, Shuai Li:
Stochastic No-regret Learning for General Games with Variance Reduction. ICLR 2023 - [c9]Zun Wang, Guoqing Liu, Yichi Zhou, Tong Wang, Bin Shao:
Efficiently incorporating quintuple interactions into geometric deep learning force fields. NeurIPS 2023 - 2022
- [j1]Dong Yan, Jiayi Weng, Shiyu Huang, Chongxuan Li, Yichi Zhou, Hang Su, Jun Zhu:
Deep reinforcement learning with credit assignment for combinatorial optimization. Pattern Recognit. 124: 108466 (2022) - [c8]Fang Kong, Yichi Zhou, Shuai Li:
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback. ICML 2022: 11473-11482 - [i5]Fang Kong, Yichi Zhou, Shuai Li:
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback. CoRR abs/2206.07908 (2022) - 2021
- [c7]Chi Hong, Amirmasoud Ghiassi, Yichi Zhou, Robert Birke, Lydia Y. Chen:
Online Label Aggregation: A Variational Bayesian Approach. WWW 2021: 1904-1915 - [i4]Yichi Zhou, Shihong Song, Huishuai Zhang, Jun Zhu, Wei Chen, Tie-Yan Liu:
Regularized OFU: an Efficient UCB Estimator forNon-linear Contextual Bandit. CoRR abs/2106.15128 (2021) - 2020
- [c6]Yichi Zhou, Jialian Li, Jun Zhu:
Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information. ICLR 2020 - [c5]Yichi Zhou, Tongzheng Ren, Jialian Li, Dong Yan, Jun Zhu:
Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information. ICLR 2020 - [c4]Jialian Li, Yichi Zhou, Tongzheng Ren, Jun Zhu:
Exploration Analysis in Finite-Horizon Turn-based Stochastic Games. UAI 2020: 201-210
2010 – 2019
- 2018
- [c3]Tian Tian, Yichi Zhou, Jun Zhu:
Selective Verification Strategy for Learning From Crowds. AAAI 2018: 4147-4154 - [c2]Yichi Zhou, Jun Zhu, Jingwei Zhuo:
Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors. ICML 2018: 5995-6003 - [i3]Chi Hong, Yichi Zhou:
Label Aggregation via Finding Consensus Between Models. CoRR abs/1807.07291 (2018) - [i2]Yichi Zhou, Tongzheng Ren, Jialian Li, Dong Yan, Jun Zhu:
Lazy-CFR: a fast regret minimization algorithm for extensive games with imperfect information. CoRR abs/1810.04433 (2018) - 2017
- [c1]Yichi Zhou, Jialian Li, Jun Zhu:
Identify the Nash Equilibrium in Static Games with Random Payoffs. ICML 2017: 4160-4169 - [i1]Yichi Zhou, Jun Zhu, Jingwei Zhuo:
Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors. CoRR abs/1708.04781 (2017)
Coauthor Index
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