Rotation Invariant Householder Parameterization for Bayesian PCA

12 May 2019

Papers citing "Rotation Invariant Householder Parameterization for Bayesian PCA"

3 / 3 papers shown

Title
Parameterizations for Gradient-based Markov Chain Monte Carlo on the Stiefel Manifold: A Comparative Study Masahiro Tanaka 79 1 0 12 Feb 2024
A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian Processes Raphael Gautier Piyush Pandita Sayan Ghosh D. Mavris 29 3 0 08 Aug 2020
Vanishing Nodes: Another Phenomenon That Makes Training Deep Neural Networks Difficult Wen-Yu Chang Tsung-Nan Lin GNN 59 0 0 22 Oct 2019