Automatic Differentiation is no Panacea for Phylogenetic Gradient Computation

Gradients of probabilistic model likelihoods with respect to their parameters are essential for modern computational statistics and machine learning. These calculations are readily available for arbitrary models via “automatic differentiation” implemented in general-purpose machine-learning librarie...

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Detalles Bibliográficos
Autores principales: Fourment, Mathieu, Swanepoel, Christiaan J, Galloway, Jared G, Ji, Xiang, Gangavarapu, Karthik, Suchard, Marc A, Matsen IV, Frederick A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Letter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10282121/
https://www.ncbi.nlm.nih.gov/pubmed/37265233
http://dx.doi.org/10.1093/gbe/evad099

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10282121/
https://www.ncbi.nlm.nih.gov/pubmed/37265233
http://dx.doi.org/10.1093/gbe/evad099

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