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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

29 September 2022
Mikolaj Kasprzak
Ryan Giordano
Tamara Broderick
ArXivPDFHTML

Papers citing "How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences"

3 / 3 papers shown
Title
Convergence of Langevin Monte Carlo in Chi-Squared and Renyi Divergence
Convergence of Langevin Monte Carlo in Chi-Squared and Renyi Divergence
Murat A. Erdogdu
Rasa Hosseinzadeh
Matthew Shunshi Zhang
73
41
0
22 Jul 2020
Measuring Sample Quality with Kernels
Measuring Sample Quality with Kernels
Jackson Gorham
Lester W. Mackey
78
221
0
06 Mar 2017
A Kernel Test of Goodness of Fit
A Kernel Test of Goodness of Fit
Kacper P. Chwialkowski
Heiko Strathmann
A. Gretton
BDL
94
324
0
09 Feb 2016
1