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Tensor Graphical Models for Complex and High Dimensional Data

Simons Institute via YouTube

Overview

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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.

Syllabus

Tensor Graphical Models For Complex And High Dimensional Data

Taught by

Simons Institute

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