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A deterministic and computable Bernstein-von Mises theorem
v1v2 (latest)

A deterministic and computable Bernstein-von Mises theorem

4 April 2019
Guillaume P. Dehaene
ArXiv (abs)PDFHTML

Papers citing "A deterministic and computable Bernstein-von Mises theorem"

5 / 5 papers shown
Title
On the Approximation Accuracy of Gaussian Variational Inference
On the Approximation Accuracy of Gaussian Variational Inference
A. Katsevich
Philippe Rigollet
87
17
0
05 Jan 2023
How good is your Laplace approximation of the Bayesian posterior?
  Finite-sample computable error bounds for a variety of useful divergences
How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences
Mikolaj Kasprzak
Ryan Giordano
Tamara Broderick
66
4
0
29 Sep 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via
  Distance-Awareness
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness
J. Liu
Shreyas Padhy
Jie Jessie Ren
Zi Lin
Yeming Wen
Ghassen Jerfel
Zachary Nado
Jasper Snoek
Dustin Tran
Balaji Lakshminarayanan
UQCVBDL
231
51
0
01 May 2022
Invariance Learning in Deep Neural Networks with Differentiable Laplace
  Approximations
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations
Alexander Immer
Tycho F. A. van der Ouderaa
Gunnar Rätsch
Vincent Fortuin
Mark van der Wilk
BDL
147
48
0
22 Feb 2022
Simple and Principled Uncertainty Estimation with Deterministic Deep
  Learning via Distance Awareness
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
Jeremiah Zhe Liu
Zi Lin
Shreyas Padhy
Dustin Tran
Tania Bedrax-Weiss
Balaji Lakshminarayanan
UQCVBDL
290
452
0
17 Jun 2020
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