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math.ST2023
Mean-field variational inference with the TAP free energy: Geometric and statistical properties in linear models
Michael Celentano, Zhou Fan, Licong Lin +1
We study mean-field variational inference in a Bayesian linear model when the sample size n is comparable to the dimension p. In high dimensions, the common approach of minimizing…
math.ST2023★ 1 cited
Challenges of the inconsistency regime: Novel debiasing methods for missing data models
Michael Celentano, Martin J. Wainwright
We study semi-parametric estimation of the population mean when data is observed missing at random (MAR) in the "inconsistency regime", in which neither the outcome model n…