Home Www Weijie Su Weijie su 苏炜杰 associate professor wharton statistics and data science department and, by courtesy, departments of computer and information science, biostatistics, epidemiology and informatics, and mathematics co director penn research in machine learning university of pennsylvania office: 411 academic research building. Matteo sordello, hangfeng he, weijie su (working), robust learning rate selection for stochastic optimization via splitting diagnostic. abstract: this paper proposes splitsgd, a new dynamic learning rate schedule for stochastic optimiza tion.
Weijie Su Weijie su other names associate professor, university of pennsylvania verified email at wharton.upenn.edu homepage. Currently, weijie su is a researcher at shanghai ai laboratory, headed by prof. jifeng dai. he also works closely with dr. xizhou zhu and dr. wenhai wang. weijie su received ph.d. degree from university of science and technology of china (ustc) in june 2024, under the supervision of prof. bin li and prof. jifeng dai. Stanford statistics is proud to announce that our alum weijie su (phd, 2016) has received the 2026 presidents' award from the committee of presidents of statistical societies. Weijie su is an assistant professor of statistics at the wharton school, university of pennsylvania. prior to joining penn in summer 2016, he obtained his ph.d. in statistics from stanford university in 2016, under the supervision of emmanuel candès, and his bachelor's degree in mathematics from peking university in 2011.
Su Weijie Github Stanford statistics is proud to announce that our alum weijie su (phd, 2016) has received the 2026 presidents' award from the committee of presidents of statistical societies. Weijie su is an assistant professor of statistics at the wharton school, university of pennsylvania. prior to joining penn in summer 2016, he obtained his ph.d. in statistics from stanford university in 2016, under the supervision of emmanuel candès, and his bachelor's degree in mathematics from peking university in 2011. He and w. su. proceedings of the national academy of sciences (direct submission), 2023. on quantum speedups for nonconvex optimization via quantum tunneling walks. Statistical machine learning, high dimensional inference, large scale multiple testing, optimization, and privacy preserving data analysis. Weijie su, associate professor | cited by 4,562 | of university of pennsylvania, philadelphia (up) | read 116 publications | contact weijie su. The initial release of the author edit screen is open to anyone in the community with an acm account, but it is limited to personal information. an author's photograph, a home page url, and an email may be added, deleted or edited. changes are reviewed before they are made available on the live site.
Weijie Su He and w. su. proceedings of the national academy of sciences (direct submission), 2023. on quantum speedups for nonconvex optimization via quantum tunneling walks. Statistical machine learning, high dimensional inference, large scale multiple testing, optimization, and privacy preserving data analysis. Weijie su, associate professor | cited by 4,562 | of university of pennsylvania, philadelphia (up) | read 116 publications | contact weijie su. The initial release of the author edit screen is open to anyone in the community with an acm account, but it is limited to personal information. an author's photograph, a home page url, and an email may be added, deleted or edited. changes are reviewed before they are made available on the live site.
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