Pseudo-Marginal Bayesian Inference for Gaussian Processes

2 October 2013

Papers citing "Pseudo-Marginal Bayesian Inference for Gaussian Processes"

9 / 9 papers shown

Title
Bayesian Deep Learning with Multilevel Trace-class Neural Networks Neil K. Chada Ajay Jasra K. Law Sumeetpal S. Singh BDL UQCV 83 3 0 24 Mar 2022
Validating Gaussian Process Models with Simulation-Based Calibration John Mcleod F. Simpson 22 3 0 27 Oct 2021
Vecchia-Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data Daniel Zilber Matthias Katzfuss 14 34 0 18 Jun 2019
Hyperpriors for Matérn fields with applications in Bayesian inversion L. Roininen Mark Girolami Sari Lasanen M. Markkanen 8 57 0 09 Dec 2016
Pseudo-Marginal Slice Sampling Iain Murray Matthew M. Graham 28 37 0 10 Oct 2015
Unbiased Bayesian Inference for Population Markov Jump Processes via Random Truncations Anastasis Georgoulas J. Hillston G. Sanguinetti 28 39 0 28 Sep 2015
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families Heiko Strathmann Dino Sejdinovic Samuel Livingstone Z. Szabó A. Gretton BDL 24 76 0 08 Jun 2015
Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE) Maurizio Filippone Raphael Engler 24 31 0 22 Jan 2015
Control Functionals for Quasi-Monte Carlo Integration Chris J. Oates Mark Girolami 43 27 0 14 Jan 2015