ANon-AsymptoticAnalysisfor SteinVariationalGradientDescent

Neural Information Processing Systems 

Weassumethatthetarget distributionπ admits a density proportional toexp( V) with respect to Lebesgue measure over X = Rd, where V: X R is referred to as the potential function.

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