activity
20152026
most citedA Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions

34 citations · 212 across the 40 of their papers we have counts for

collaborators
Showing 2017Show all

1 paper · 1 filter

math.ST2017★ 12 cited

On the Bernstein-Von Mises Theorem for High Dimensional Nonlinear Bayesian Inverse Problems

Yulong Lu

We prove a Bernstein-von Mises theorem for a general class of high dimensional nonlinear Bayesian inverse problems in the vanishing noise limit. We propose a sufficient condition o…