Tensor Graphical Models for Complex and High Dimensional Data

Tensor Graphical Models for Complex and High Dimensional Data

Explore advanced concepts in tensor graphical models for analyzing complex and high-dimensional data in this one-hour lecture by Shuheng Zhou from UC Riverside. Delve into algorithmic advances for statistical inference with combinatorial structure, gaining insights into cutting-edge techniques for handling intricate datasets and improving analytical capabilities in various fields of study.