
Logistic Regression: Tight Bounds for Stochastic and Online Optimization
Published on Feb 4, 20252359 Views
The logistic loss function is often advocated in machine learning and statistics as a smooth and strictly convex surrogate for the 0-1 loss. In this paper we investigate the question of whether these