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M-estimators / Computational statistics / Computational neuroscience / Estimation theory / Stochastic optimization / Stochastic gradient descent / Deep learning / Artificial neural network / Convolutional neural network / Mathematical optimization / Loss function / Feature learning
Date: 2015-07-26 20:01:45
M-estimators
Computational statistics
Computational neuroscience
Estimation theory
Stochastic optimization
Stochastic gradient descent
Deep learning
Artificial neural network
Convolutional neural network
Mathematical optimization
Loss function
Feature learning

Published as a conference paper at ICLRA DAM : A M ETHOD FOR S TOCHASTIC O PTIMIZATION Diederik P. Kingma* University of Amsterdam

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Source URL: arxiv.org

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