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Logistic Regression: Tight Bounds for Stochastic and Online Optimization

Published on Jul 15, 20142343 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

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