Dynamic differential privacy technique for deep learning models. [PDF]
Sci RepElabd E.
europepmc +1 more source
The Price Equation Reveals a Universal Force-Metric-Bias Law of Algorithmic Learning and Natural Selection. [PDF]
Entropy (Basel)Frank SA.
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Vibration error correction in absolute gravity measurement using BP neural network. [PDF]
Sci RepNiu Y, Wu Q, Zhang Y, Li Z.
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Accelerated Stochastic Conjugate Gradient for a class of convex optimization. [PDF]
PLoS OneHe L, Du Y.
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Utilization of machine learning to identify lower extremity biomechanical predictors of rupture in a validated cadaveric model of ACL injury. [PDF]
Sci RepKhorrami P +5 more
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Clinical efficacy and predictive model development for levetiracetam in children with newly diagnosed epilepsy of unknown etiology. [PDF]
Transl PediatrYan H +6 more
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A stochastic multiple gradient descent algorithm [PDF]
European Journal of Operational Research, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Quentin Mercier +2 more
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Stochastic Gradient Descent on Riemannian Manifolds [PDF]
IEEE Transactions on Automatic Control, 2013 Stochastic gradient descent is a simple approach to find the local minima of a cost function whose evaluations are corrupted by noise. In this paper, we develop a procedure extending stochastic gradient descent algorithms to the case where the function is defined on a Riemannian manifold.
Silvere Bonnabel
exaly +3 more sources
Preconditioned Stochastic Gradient Descent [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2018 13 pages, 9 figures. To appear in IEEE Transactions on Neural Networks and Learning Systems.
Xi-Lin Li
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Shun－Ichi Amari
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