#machine learning
Jun 2024
Gradient Descent on Logistic Regression with Non-Separable Data and Large Step Sizes
Although local convergence is guaranteed for all step sizes less than the critical step size, global convergence is not, and gradient descent may instead converge to a cycle depending on the initialization, and GD may instead converge to a cycle depending on the initialization.
S. Meng, Antonio Orvieto, Dan Cao et al.
· arXiv.org · 13 citations