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Practical bounds on the error of Bayesian posterior approximations: A
  nonasymptotic approach

Practical bounds on the error of Bayesian posterior approximations: A nonasymptotic approach

25 September 2018
Jonathan H. Huggins
Trevor Campbell
Mikolaj Kasprzak
Tamara Broderick
ArXivPDFHTML

Papers citing "Practical bounds on the error of Bayesian posterior approximations: A nonasymptotic approach"

6 / 6 papers shown
Title
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
33
4
0
29 Sep 2022
User-friendly introduction to PAC-Bayes bounds
User-friendly introduction to PAC-Bayes bounds
Pierre Alquier
FedML
64
197
0
21 Oct 2021
Statistical Guarantees and Algorithmic Convergence Issues of Variational
  Boosting
Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting
B. Guha
A. Bhattacharya
D. Pati
31
2
0
19 Oct 2020
Coupling and Convergence for Hamiltonian Monte Carlo
Coupling and Convergence for Hamiltonian Monte Carlo
Nawaf Bou-Rabee
A. Eberle
Raphael Zimmer
79
136
0
01 May 2018
Measuring Sample Quality with Kernels
Measuring Sample Quality with Kernels
Jackson Gorham
Lester W. Mackey
86
223
0
06 Mar 2017
Efficient Solution to the 3D Problem of Automatic Wall Paintings
  Reassembly
Efficient Solution to the 3D Problem of Automatic Wall Paintings Reassembly
A. S. Keys
Dimitris Arabadjis
C. Iacovella
Panayiotis Rousopoulos
S. Glotzer
Michail Panagopoulos
Lena Papazoglou-Manioudaki
3DV
65
134
0
10 Oct 2012
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