Stein Variational Gradient Descent Without Gradient

ICML 2018 Jun HanQiang Liu

Stein variational gradient decent (SVGD) has been shown to be a powerful approximate inference algorithm for complex distributions. However, the standard SVGD requires calculating the gradient of the target density and cannot be applied when the gradient is unavailable... (read more)

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