Papers in Stochastic Gradient Optimization Techniques 5
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Neural network training under semidefinite constraints2022 Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes conference-paper Computer Science Stochastic Gradient Optimization Techniques cited by 1 patent
Patricia Pauli, Niklas Funcke, Dennis Gramlich, Mohamed Amine Msalmi, Frank Allgöwer
10citations -
Smaller generalization error derived for a deep residual neural network compared with shallow networks2022 IMA Journal of Numerical Analysis article Computer Science Stochastic Gradient Optimization Techniques Open access
Aku Kammonen, Jonas Kiessling, Petr Plecháč, Mattias Sandberg, Anders Szepessy, Raul F. Tempone
4citations
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