WebMar 9, 2024 · A Primer on Implicit Regularization. Mar 9, 2024. The way we parameterize our model strongly affects the gradients and the optimization trajectory. This biases the optimization process towards certain kinds of solutions, which could explain why our deep models generalize so well. In the last blog series, we saw how a deep parameterization … WebDec 18, 2024 · Preetum Nakkiran, Gal Kaplun, Yamini Bansal, Tristan Yang, Boaz Barak, Ilya Sutskever. Deep Double Descent: Where Bigger Models and More Data Hurt. 2024. arXiv:1912.02292; Mikhail Belkin, Daniel Hsu, Siyuan Ma, Soumik Mandal. Reconciling modern machine learning practice and the bias-variance trade-off. 2024. arVix:1812.11118
Deep Double Descent: Where Bigger Models and More Data Hurt
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