ICML-On the difficulty of unbiased alpha divergence minimization

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On the Difficulty of Unbiased Alpha Divergence Minimization

                       Tomas Geffner 1 Justin Domke 1

             Abstract               Existing alpha-divergence minimization algorithms can be
    Several approximate inference algorithms have      classified into two broad groups: biased methods (Li &
    been proposed to minimize an alpha-divergence      Turner, 2016; Regli & Silva, 2018) and unbiased methods
    between an approximating distribution and a tar-     (Kuleshov & E ...

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关键词：Minimization DIVERGENCE difficulty Difficult unbiased