Andrew Fairless, Ph.D.
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What I Read: Stochastic Variational Inference.
Posted on :: Tags: statistics, machine learning, Bayesian, prior, posterior, stochastic variational inference, JAX, NumPyro, loss, loss function

https://juanitorduz.github.io/intro_svi/
PyData Berlin 2025: Introduction to Stochastic Variational Inference with NumPyro
Juan Camilo Orduz
2025-09-01
"Stochastic Variational Inference (SVI) is a scalable approximate inference method that transforms the problem of posterior inference into an optimization problem."