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ENTITY Logistic Loss

Logistic Loss

PulseAugur coverage of Logistic Loss — every cluster mentioning Logistic Loss across labs, papers, and developer communities, ranked by signal.

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  1. RESEARCH · CL_48594 ·

    New sampling bounds achieve optimal error for regularized classification

    Researchers have developed new sampling bounds for regularized classification, achieving optimal $(1\pm\varepsilon)$-relative error for a wide range of Lipschitz continuous loss functions. The study presents improved sa…

  2. TOOL · CL_44967 ·

    Gradient Descent Mimics Perceptron Algorithm in Neural Networks

    Researchers have demonstrated that gradient descent steps in neural networks trained with logistic loss can be simplified to resemble generalized perceptron algorithms. This new perspective, using classical linear algeb…