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The natural gradient allows for more efficient gradient descent by removing dependencies and biases inherent in a function's parameterization.
Differential Geometry in Statistical Inference
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Mean field approach to learning in Boltzmann Machines
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Natural Gradient Works Efficiently in Learning
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Minimum Probability Flow Learning
Sohl-Dickstein, J., Battaglino, P. B., and DeWeese, M. R. (2011b)
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Neural networks and learning machines; 3rd edition
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