Using Differentiable Programming for Flexible Statistical Modeling.

Differentiable programming has recently received much interest as a paradigm that facilitates taking gradients of computer programs. While the corresponding flexible gradient-based optimization approaches so far have been used predominantly for deep learning or enriching the latter with modeling com...

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Publicado en:	American Statistician Vol. 76; no. 3; pp. 270 - 280
Autores principales:	Hackenberg, Maren, Grodd, Marlon, Kreutz, Clemens, Fischer, Martina, Esins, Janina, Grabenhenrich, Linus, Karagiannidis, Christian, Binder, Harald
Formato:	Artículo
Publicado:	Taylor & Francis Ltd Aug2022
Materias:	Time pressure Statistical models Deep learning Delay differential equations Automatic differentiation Computer software
Acceso en línea:	Ver este registro en EBSCOhost