Bayesian Inference of Log Determinants

5 April 2017

Papers citing "Bayesian Inference of Log Determinants"

7 / 7 papers shown

Title
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 Rémi Bardenet Michalis K. Titsias 34 24 0 04 Jul 2015
Probabilistic Numerics and Uncertainty in Computations Philipp Hennig Michael A. Osborne Mark Girolami 51 305 0 03 Jun 2015
Large-scale Log-determinant Computation through Stochastic Chebyshev Expansions Insu Han Dmitry Malioutov Jinwoo Shin 51 95 0 22 Mar 2015
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 Sivaram Ambikasaran D. Foreman-Mackey L. Greengard D. Hogg M. O’Neil 80 383 0 24 Mar 2014
EigenGP: Gaussian Process Models with Adaptive Eigenfunctions Hao Peng Y. Qi 45 7 0 02 Jan 2014