Explicit Regularization for Overparameterized Models
In many learning problems, it is desirable to incorporate explicit regularization in the objective to avoid overfitting the data. Typically, the regularized objective is solved via weight decay. However, optimizing with weight decay can be challenging because we cannot tell if the solution has reach...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/151314 |