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Matrices / Differential calculus / Hessian matrix / Morse theory / Multivariable calculus / Matrix / Automatic differentiation / Derivative / Symmetric matrix / Mathematical analysis / Calculus / Mathematics


Estimating the Hessian by Back-propagating Curvature James Martens Ilya Sutskever Kevin Swersky
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Document Date: 2012-06-07 13:20:54


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TORONTO / San Matteo / Edinburgh / /

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Feedforward Neural Networks / Artificial Neural Networks / ICANN / ACM Press / Let AB / /

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United Kingdom / Scotland / /

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square of Sy1 / Avoiding complex / /

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element-wise product / neural network / matrix product / optimization algorithm / recurrent neural networks / vector products / realizable algorithm / neural networks / large networks / matrix-vector products / deterministic algorithm / outer product / energy-based models / self outer-product / machine learning applications / computing / above algorithm / vectorization operator / feed-forward neural networks / learning algorithms / inefficient algorithms / energy / usually computed exactly using inefficient algorithms / /

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G.E. Hinton / D.E. Rumelhart / Ai / Ilya Sutskever Kevin Swersky / Olivier Chapelle / R.J. Williams / Morgan Kaufmann / /

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author / Bishop / feed-forward / straight-forward / /

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Machine Learning / Theoretical Computer Science / Journal of Machine Learning Research / /

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above algorithm / realizable algorithm / neural network / artificial intelligence / Hessian-free Newton optimization algorithm / deterministic algorithm / CP algorithm / Machine Learning / /

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