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Automatic Differentiation Variational Inference by Juanpepo2 is a document available to read on EtoBox.

The paper presents Automatic Differentiation Variational Inference (ADVI), a method that automates the derivation of variational inference algorithms for complex probabilistic models, allowing scientists to efficiently analyze large datasets without manually deriving algorithms. ADVI is implemented in the Stan probabilistic programming system and supports a wide range of models without requiring conjugacy assumptions. The method transforms models into a common space, enabling the use of generic computationa

Author

Juanpepo2

Language

EN