Anima Anandkumar: Infusing Structure into Machine Learning Algorithms 

Submitted by Tony I Garcia on

The Department of Applied Mathematics is pleased to host this series of colloquium lectures, funded in part by a generous gift from the Boeing Company. This series will bring to campus prominent applied mathematicians from around the world.

Speaker: Anima Anandkumar 

Date: October 31st, 2019, 4pm

Location: (SMI 205)

Title: Infusing Structure into Machine Learning Algorithms 

Abstract: Standard deep learning algorithms are based on a function-fitting approach that do not exploit any domain knowledge or constraints. This has several shortcomings: high sample complexity, and lack of robustness and generalization, especially under domain or task shifts. I will show several ways to infuse structure and domain knowledge to overcome these limitations, viz., tensors, graphs, symbolic rules, physical laws, and simulations. 

Youtube: Watch the talk online here