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Practical bounds on the error of Bayesian posterior approximations: A nonasymptotic approach
25 September 2018
Jonathan H. Huggins
Trevor Campbell
Mikolaj Kasprzak
Tamara Broderick
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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
Mikolaj Kasprzak
Ryan Giordano
Tamara Broderick
66
4
0
29 Sep 2022
User-friendly introduction to PAC-Bayes bounds
Pierre Alquier
FedML
193
206
0
21 Oct 2021
Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting
B. Guha
A. Bhattacharya
D. Pati
78
2
0
19 Oct 2020
Efficient hyperparameter optimization by way of PAC-Bayes bound minimization
John J. Cherian
Andrew G. Taube
R. McGibbon
Panagiotis Angelikopoulos
Guy Blanc
M. Snarski
D. D. Richman
J. L. Klepeis
D. Shaw
33
6
0
14 Aug 2020
Convergence Rates of Variational Inference in Sparse Deep Learning
Badr-Eddine Chérief-Abdellatif
BDL
122
39
0
09 Aug 2019
LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations
Brian L. Trippe
Jonathan H. Huggins
Raj Agrawal
Tamara Broderick
BDL
73
9
0
17 May 2019
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