ESE PhD Dissertation Defense: “Balancing Fit and Complexity in Learned Representations”
Thesis Title: Balancing Fit and Complexity in Learned Representations Abstract: This dissertation is about learning representations of functions while restricting complexity. In machine learning, maximizing the fit and minimizing the complexity are two conflicting objectives. Common approaches to this problem involve solving a regularized empirical minimization problem, with a complexity measure regularizer and a regularizing […]