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20092023
most citedUnderspecification Presents Challenges for Credibility in Modern Machine Learning

430 citations · 995 across the 30 of their papers we have counts for

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stat.ML2021★ 6 cited

Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence

Ghassen Jerfel, Serena Wang, Clara Fannjiang +3

Variational Inference (VI) is a popular alternative to asymptotically exact sampling in Bayesian inference. Its main workhorse is optimization over a reverse Kullback-Leibler diver…