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stat.ML2023★ 1 cited
Variational Inference with Gaussian Score Matching
Chirag Modi, Charles Margossian, Yuling Yao +3
Variational inference (VI) is a method to approximate the computationally intractable posterior distributions that arise in Bayesian statistics. Typically, VI fits a simple paramet…
stat.ML2023★ 1 cited
The Shrinkage-Delinkage Trade-off: An Analysis of Factorized Gaussian Approximations for Variational Inference
Charles C. Margossian, Lawrence K. Saul
When factorized approximations are used for variational inference (VI), they tend to underestimate the uncertainty -- as measured in various ways -- of the distributions they are m…