Stein Variational Gradient Descent: Particles That Repel Their Way to the Posterior
Bayesian inference is simple to state and hard to compute. Given data, we want the posterior distribution over parameters. In almost every interesting model, that posterior has no closed form, its normalising constant is intractable, and direct sampling is expensive. Two classical families of tools…
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- 2026-10-26 10:47 · DEV Community — Machine Learning
Stein Variational Gradient Descent: Particles That Repel Their Way to the Posterior