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08/14/2023
Improved Scaling with Dimension in the Bernstein-von Mises Theorem for Two Statistical Models
Past works have shown that the Bernstein-von Mises theorem, on the asymp...
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06/12/2023
Tight skew adjustment to the Laplace approximation in high dimensions
In Bayesian inference, a simple and popular approach to reduce the burde...
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05/28/2023
Tight Dimension Dependence of the Laplace Approximation
In Bayesian inference, a widespread technique to approximately sample fr...
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01/05/2023
On the Approximation Accuracy of Gaussian Variational Inference
The main quantities of interest in Bayesian inference are arguably the f...
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06/26/2020
