Testing, Learning, and Optimization in High Dimensions
In this thesis we study two separate problems: (1) What is the sample complexity of testing the class of Determinantal Point Processes? and (2) Introducing a new analysis for optimization and generalization of deep neural networks beyond their linear approximation. For the first problem, we characte...
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/144927 |