7 citations · 10 across the 3 of their papers we have counts for
3 papers
stat.CO2019
Variational Inference with Numerical Derivatives: variance reduction through coupling
Alexander Immer, Guillaume P. Dehaene
The Black Box Variational Inference (Ranganath et al. (2014)) algorithm provides a universal method for Variational Inference, but taking advantage of special properties of the app…
math.ST2019★ 3 cited
A deterministic and computable Bernstein-von Mises theorem
Guillaume P. Dehaene
Bernstein-von Mises results (BvM) establish that the Laplace approximation is asymptotically correct in the large-data limit. However, these results are inappropriate for computati…
stat.ML2017★ 7 cited
Computing the quality of the Laplace approximation
Guillaume P. Dehaene
Bayesian inference requires approximation methods to become computable, but for most of them it is impossible to quantify how close the approximation is to the true posterior. In t…