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个人简介

教育背景 博士,统计学,美国威斯康星大学麦迪逊分校 学士,统计学,北京大学 科研项目 2023.10 - 2024.10, 项目负责人, “高频数据下的时间序列问题”项目委托, 上海慧衍私募基金管理有限公司

研究领域

机器学习,随机控制,金融计量经济与统计,量子计算

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Chenyang Jiang, Bowen Hu, Yazhen Wang, and Shang Wu. 2023. Reinforcement learning via nonparametric smoothing in a continuous-time stochastic setting with noisy data. Statistica Sinica forthcoming.1-36. Yazhen Wang, Shang Wu, and Hongzhi Liu. 2023. Statistical analysis of quantum annealing. Statistica Sinica 33(3).1943-1958. Yazhen Wang and Shang Wu. 2020. Asymptotic analysis via stochastic differential equations of gradient descent algorithms in statistical and computational paradigms. Journal of Machine Learning Research 21.1-103. Yazhen Wang, Shang Wu, and Jian Zou. 2016. Quantum annealing with markov chain monte carlo simulations and d-wave quantum computers. Statistical Science 31(3).362-398.

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