Adversarial Learning of a Sampler Based on an Unnormalized Distribution

3 Jan 2019Chunyuan LiKe BaiJianqiao LiGuoyin WangChangyou ChenLawrence Carin

We investigate adversarial learning in the case when only an unnormalized form of the density can be accessed, rather than samples. With insights so garnered, adversarial learning is extended to the case for which one has access to an unnormalized form u(x) of the target density function, but no samples... (read more)

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