Topics in non-convex optimization and learning /

Non-convex optimization and learning play an important role in data science and machine learning, yet so far they still elude our understanding in many aspects. In this thesis, I study two important aspects of non-convex optimization and learning: Riemannian optimization and deep neural networks. In...

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Bibliographic Details
Main Author: Zhang, Hongyi, Ph. D
Corporate Author: Massachusetts Institute of Technology Department of Brain and Cognitive Sciences
Format: Thesis Book
Language:English
Published: ©2019

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Massachusetts Institute of Technology

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Call Number: THESIS Thesis BCS 2019 Ph.D.