Web: http://arxiv.org/abs/1908.00882

May 4, 2022, 1:12 a.m. | Gemma E. Moran, David M. Blei, Rajesh Ranganath

cs.LG updates on arXiv.org arxiv.org

Bayesian modeling has become a staple for researchers to articulate
assumptions and develop methods tailored for specific data applications. Thanks
to recent developments in approximate posterior inference, researchers can
easily build, use, and revise complicated Bayesian models for large and rich
data. These new abilities, however, bring into focus the problem of model
criticism. Researchers need tools to diagnose the fitness of their models, to
understand where they fall short, and to guide their revision. In this paper we
develop …

arxiv checks population predictive

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