Sequential Gibbs Posteriors with Applications to Principal Component Analysis

19 October 2023

Papers citing "Sequential Gibbs Posteriors with Applications to Principal Component Analysis"

12 / 12 papers shown

Title
A comparison of learning rate selection methods in generalized Bayesian inference Pei-Shien Wu Ryan Martin BDL 43 47 0 21 Dec 2020
A generalized Bayes framework for probabilistic clustering T. Rigon A. Herring David B. Dunson 47 27 0 09 Jun 2020
A Primer on PAC-Bayesian Learning Benjamin Guedj 161 223 0 16 Jan 2019
Inference for spherical location under high concentration D. Paindaveine Thomas Verdebout 102 11 0 02 Jan 2019
Random orthogonal matrices and the Cayley transform Michael Jauch P. Hoff David B. Dunson 96 18 0 05 Oct 2018
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data Gintare Karolina Dziugaite Daniel M. Roy 117 819 0 31 Mar 2017
Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It Peter Grünwald T. V. Ommen 88 268 0 11 Dec 2014
Bayesian nonparametric inference on the Stiefel manifold Lizhen Lin Vinayak A. Rao David B. Dunson 56 20 0 04 Nov 2013
A new method to simulate the Bingham and related distributions in directional data analysis with applications J. Kent Asaad M. Ganeiber K. Mardia 51 52 0 30 Oct 2013
A General Framework for Updating Belief Distributions Pier Giovanni Bissiri Chris Holmes S. Walker 228 479 0 27 Jun 2013
Gibbs posterior for variable selection in high-dimensional classification and data mining Wenxin Jiang M. Tanner 96 116 0 31 Oct 2008
Simulation of the matrix Bingham-von Mises-Fisher distribution, with applications to multivariate and relational data P. Hoff 122 208 0 27 Dec 2007