Home Www Weijie Su Weijie su other names associate professor, university of pennsylvania verified email at wharton.upenn.edu homepage. 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.
Weijie Su 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 is a statistician who works on sparse linear regression, multiple testing, and minimax estimation. he received the 2022 peter gavin hall ims early career prize and the 2023 asa noether early career scholar award. Weijie su, associate professor | cited by 4,562 | of university of pennsylvania, philadelphia (up) | read 116 publications | contact weijie su. 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 Weijie su, associate professor | cited by 4,562 | of university of pennsylvania, philadelphia (up) | read 116 publications | contact weijie su. 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. Weijie j su associate professor, statistics and data science, university of pennsylvania, university of pennsylvania joined february 2019. Weijie su is an associate professor in the wharton statistics and data science department and, by courtesy, in the departments of biostatistics, epidemiology and informatics, computer and information, and mathematics, at the university of pennsylvania. 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. 知道的比较有影响力的工作是: a differential equation for modeling nesterov's accelerated gradient method: theory and insights weijie su, stephen boyd, emmanuel j. candès; 17 (153):1−43, 2016. 还有提出新的review mechanism在目前这个时候可以说是很有用的事情，所以我觉得taste真的很好.
Weijie Su Weijie j su associate professor, statistics and data science, university of pennsylvania, university of pennsylvania joined february 2019. Weijie su is an associate professor in the wharton statistics and data science department and, by courtesy, in the departments of biostatistics, epidemiology and informatics, computer and information, and mathematics, at the university of pennsylvania. 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. 知道的比较有影响力的工作是: a differential equation for modeling nesterov's accelerated gradient method: theory and insights weijie su, stephen boyd, emmanuel j. candès; 17 (153):1−43, 2016. 还有提出新的review mechanism在目前这个时候可以说是很有用的事情，所以我觉得taste真的很好.
Weijie Su Department Of Mathematics 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. 知道的比较有影响力的工作是: a differential equation for modeling nesterov's accelerated gradient method: theory and insights weijie su, stephen boyd, emmanuel j. candès; 17 (153):1−43, 2016. 还有提出新的review mechanism在目前这个时候可以说是很有用的事情，所以我觉得taste真的很好.
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