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Bayesian Inference of Log Determinants

Bayesian Inference of Log Determinants

5 April 2017
Jack K. Fitzsimons
Kurt Cutajar
Michael A. Osborne
Stephen J. Roberts
Maurizio Filippone
ArXiv (abs)PDFHTML

Papers citing "Bayesian Inference of Log Determinants"

6 / 6 papers shown
Title
Batch Active Learning in Gaussian Process Regression using Derivatives
Batch Active Learning in Gaussian Process Regression using Derivatives
Hon Sum Alec Yu
Christoph Zimmer
D. Nguyen-Tuong
GP
67
1
0
03 Aug 2024
Adaptive Cholesky Gaussian Processes
Adaptive Cholesky Gaussian Processes
Simon Bartels
Kristoffer Stensbo-Smidt
Pablo Moreno-Muñoz
Wouter Boomsma
J. Frellsen
Søren Hauberg
78
3
0
22 Feb 2022
VBALD - Variational Bayesian Approximation of Log Determinants
VBALD - Variational Bayesian Approximation of Log Determinants
Diego Granziol
E. Wagstaff
Binxin Ru
Michael A. Osborne
Stephen J. Roberts
42
2
0
21 Feb 2018
Estimating the Spectral Density of Large Implicit Matrices
Estimating the Spectral Density of Large Implicit Matrices
Ryan P. Adams
Jeffrey Pennington
Matthew J. Johnson
Jamie Smith
Yaniv Ovadia
Brian Patton
J. Saunderson
90
34
0
09 Feb 2018
Bayesian Quadrature for Multiple Related Integrals
Bayesian Quadrature for Multiple Related Integrals
Xiaoyue Xi
François‐Xavier Briol
Mark Girolami
108
39
0
12 Jan 2018
Entropic Determinants
Entropic Determinants
Diego Granziol
Stephen J. Roberts
34
5
0
08 Sep 2017
1