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Optimization design and machine learning

Understanding Practical Optimization in Machine Learning

Egor Shulgin, Ph.D. Student, Computer Science
Jul 22, 17:00 - 19:00

B5 R5209

Optimization for Machine Learning AI artificial intelligence machine learning Optimization design and machine learning

This dissertation studies how practical optimization methods used to train modern machine learning systems can be better understood by analyzing the objectives, updates, assumptions, and approximations that arise in their actual implementation.

Lijuan Fan

Postdoctoral Research Fellow, Applied Mathematics and Computational Science

Optimization design and machine learning acoustic metameterials

Education Profile B.Sc. Electronic and Information Engineering, Wuyi University, Jiangmen city, China. 2018. Ph.D. Physics, South China University of Technology, Guangzhou city, 2023.

Computer, Electrical and Mathematical Sciences and Engineering (CEMSE)

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