Guo Yu . Assistant Professor . [email protected]. Contact Phone: he/him/his . Office Location: South Hall 5519 . Website: Homepage. Education: PhD, Cornell U ... UC Santa Barbara Santa Barbara CA 93106-3110. Campus MailCode: 3110 Campus Maps. South Hall 5607A Main office hours [PST] Monday through Friday 9am-12pm and 1-4pm. About; Undergraduate;

I am an Assistant Professor in the Department of Statistics and Applied Probability at University of California, Santa Barbara. I enjoy thinking about statistical learning problems from both theoretical and computational perspectives.

‪University of California, Santa Barbara‬ - ‪‪Cited by 428‬‬ - ‪High-dimensional statistics‬ - ‪Statistical Machine Learning‬

2021年6月4日 · Guo Yu is a professor in the Statistics department at University of California Santa Barbara - see what their students are saying about them or leave a rating yourself.

Assistant Professor Dr. Guo (Hugo) Yu joins us from U of Washington Seattle where he was a postdoctoral fellow in the Dept of Statistics. Dr. Guo works on statistical learning problems and received his PhD from Cornell in 2018.

Ling-Qi Yan Assistant Professor of Computer Science, University of California, Santa Barbara Verified email at cs.ucsb.edu

2021年1月20日 · Dr. Guo Yu joined the PSTAT department at UCSB in fall 2020. Before that, He was a postdoctoral research associate at the University of Washington, working with Daniela Witten at UW and Jacob Bien at USC. He received his Ph.D. in …

Guo Yu University of Washington Department of Statistics Padelford Hall B-316 Seattle, WA 98105 Phone: (607) 279-4296 Email: [email protected] Website: https://hugogogo.github.io Research Interests Statistical machine learning; high-dimensional statistics; multiple testing; multi-view data analysis Academic Position

PSTAT 262DS: Introduction to Recent Advances in High-dimensional Statistics with Sparsity. PSTAT 131/231: Introduction to Statistical Machine Learning.

Guo Yu's 8 research works with 57 citations and 374 reads, including: An interpretable hybrid predictive model of COVID-19 cases using autoregressive model and LSTM