ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1606.04478
  4. Cited By
Bayesian Inference on Matrix Manifolds for Linear Dimensionality
  Reduction

Bayesian Inference on Matrix Manifolds for Linear Dimensionality Reduction

14 June 2016
Andrew J Holbrook
A. Vandenberg-Rodes
Babak Shahbaba
ArXiv (abs)PDFHTML

Papers citing "Bayesian Inference on Matrix Manifolds for Linear Dimensionality Reduction"

5 / 5 papers shown
Complete Asymptotic Expansions for the Normalizing Constants of
  High-Dimensional Matrix Bingham and Matrix Langevin Distributions
Complete Asymptotic Expansions for the Normalizing Constants of High-Dimensional Matrix Bingham and Matrix Langevin Distributions
Armine Bagyan
Donald Richards
AI4CE
297
1
0
13 Feb 2024
Sequential Gibbs Posteriors with Applications to Principal Component Analysis
Sequential Gibbs Posteriors with Applications to Principal Component Analysis
Steven Winter
Omar Melikechi
David B. Dunson
388
2
0
19 Oct 2023
Geometric Methods for Sampling, Optimisation, Inference and Adaptive
  Agents
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents
Alessandro Barp
Lancelot Da Costa
G. Francca
Karl J. Friston
Mark Girolami
Michael I. Jordan
G. Pavliotis
433
27
0
20 Mar 2022
A Unifying and Canonical Description of Measure-Preserving Diffusions
A Unifying and Canonical Description of Measure-Preserving Diffusions
Alessandro Barp
So Takao
M. Betancourt
Alexis Arnaudon
Mark Girolami
394
18
0
06 May 2021
Bayesian Inference over the Stiefel Manifold via the Givens
  Representation
Bayesian Inference over the Stiefel Manifold via the Givens RepresentationBayesian Analysis (BA), 2017
A. Pourzanjani
Richard M. Jiang
Brian Mitchell
P. Atzberger
Linda R. Petzold
309
12
0
25 Oct 2017
1
Page 1 of 1