AI RESEARCH
Even More Guarantees for Variational Inference in the Presence of Symmetries
arXiv CS.LG
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ArXi:2604.21407v1 Announce Type: new When approximating an intractable density via variational inference (VI) the variational family is typically chosen as a simple parametric family that very likely does not contain the target. This raises the question: Under which conditions can we recover characteristics of the target despite misspecification? In this work, we extend previous results on robust VI with location-scale families under target symmetries.