Visiting Faculty, March 14, 2023
The Fred Hutch Biostatistics Program hosts visiting faculties featuring presentations by outside scientists to share their latest developments and recent research. Each event includes an hour-long presentation and discussion during which speakers showcase their work and findings.
This seminar will be via Zoom.
PRESENTER:
Anru Zhang
"Tensor Learning in 2020s: Methodology, Theory, and Applications"
The analysis of tensor data, i.e., arrays with multiple directions, has become an active research topic in the era of big data. Datasets in the form of tensors arise from a wide range of scientific applications. Tensor methods also provide unique perspectives to many high-dimensional problems, where the observations are not necessarily tensors. Problems in high-dimensional tensors generally possess distinct characteristics that pose great challenges to the data science community.
In this talk, we discuss several recent advances in tensor learning and their applications in computational imaging, network, and genomics. We also illustrate how we develop statistically optimal methods and computationally efficient algorithms that interact with the modern theories of computation, high-dimensional statistics, and non-convex optimization.