AINeutralarXiv – CS AI · 9h ago6/10
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Generalized Euler Logarithm and its Applications in Machine Learning: Natural Gradient, Backpropagation, Generalized EG, Mirror Descent and OLPS
Researchers present a comprehensive mathematical framework unifying generalized Euler logarithms with applications to machine learning optimization. The work establishes theoretical foundations for deformed exponential functions and introduces new algorithms—Generalized Exponentiated Gradient and Mirror Descent schemes—alongside an Euler-based loss function for neural networks that integrates with natural gradient descent.