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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
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Papers citing "Bayesian Inference of Log Determinants"

7 / 7 papers shown
Title
Preconditioning Kernel Matrices
Preconditioning Kernel Matrices
Kurt Cutajar
Michael A. Osborne
John P. Cunningham
Maurizio Filippone
58
73
0
22 Feb 2016
Inference for determinantal point processes without spectral knowledge
Inference for determinantal point processes without spectral knowledge
Rémi Bardenet
Michalis K. Titsias
44
24
0
04 Jul 2015
Probabilistic Numerics and Uncertainty in Computations
Probabilistic Numerics and Uncertainty in Computations
Philipp Hennig
Michael A. Osborne
Mark Girolami
60
306
0
03 Jun 2015
Large-scale Log-determinant Computation through Stochastic Chebyshev
  Expansions
Large-scale Log-determinant Computation through Stochastic Chebyshev Expansions
Insu Han
Dmitry Malioutov
Jinwoo Shin
56
95
0
22 Mar 2015
Enabling scalable stochastic gradient-based inference for Gaussian
  processes by employing the Unbiased LInear System SolvEr (ULISSE)
Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE)
Maurizio Filippone
Raphael Engler
43
31
0
22 Jan 2015
Fast Direct Methods for Gaussian Processes
Fast Direct Methods for Gaussian Processes
Sivaram Ambikasaran
D. Foreman-Mackey
L. Greengard
D. Hogg
M. O’Neil
82
384
0
24 Mar 2014
EigenGP: Gaussian Process Models with Adaptive Eigenfunctions
EigenGP: Gaussian Process Models with Adaptive Eigenfunctions
Hao Peng
Y. Qi
45
7
0
02 Jan 2014
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