Yes, but Did It Work?: Evaluating Variational Inference

Yao, Yuling, Vehtari, Aki, Simpson, Daniel, Gelman, Andrew

arXiv.org Machine Learning 

While it's always possible to compute a variational approximation to a posterior distribution, it can be difficult to discover problems with this approximation". We propose two diagnostic algorithms to alleviate this problem. The Pareto-smoothed importance sampling (PSIS) diagnostic gives a goodness of fit measurement for joint distributions, while simultaneously improving the error in the estimate.

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