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A Computable Measure of Suboptimality for Entropy-Regularised Variational Objectives
Several methods in statistics and machine learning target a probability distribution for which an entropy-regularised variational objective is minimised. This increased flexibility introduces a computational challenge, as one loses access to an explicit unnormalised density for the target. To mitiga
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