Finite Sample Bernstein -- von Mises Theorem for Semiparametric Problems

29 October 2013

Papers citing "Finite Sample Bernstein -- von Mises Theorem for Semiparametric Problems"

9 / 9 papers shown

Title
Tight Bounds on the Laplace Approximation Accuracy in High Dimensions A. Katsevich 22 5 0 28 May 2023
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
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 UQCV BDL 26 48 0 01 May 2022
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 UQCV BDL 37 437 0 17 Jun 2020
Nonparametric Bayesian analysis of the compound Poisson prior for support boundary recovery M. Reiß Johannes Schmidt-Hieber 27 7 0 11 Sep 2018
Frequentist Consistency of Variational Bayes Yixin Wang David M. Blei BDL 25 204 0 09 May 2017
Posterior contraction rates for support boundary recovery M. Reiß Johannes Schmidt-Hieber 17 4 0 24 Mar 2017
Bayesian Sparse Linear Regression with Unknown Symmetric Error Minwoo Chae Lizhen Lin David B. Dunson 33 15 0 06 Aug 2016
A Bernstein-Von Mises Theorem for discrete probability distributions S. Boucheron Elisabeth Gassiat 113 49 0 14 Jul 2008