Adaptive Gaussian process approximation for Bayesian inference with expensive likelihood functions

29 March 2017

Papers citing "Adaptive Gaussian process approximation for Bayesian inference with expensive likelihood functions"

6 / 6 papers shown

Title
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC F. Llorente Luca Martino Jesse Read D. Delgado OffRL 123 13 0 03 Jan 2025
Spectral likelihood expansions for Bayesian inference J. Nagel Bruno Sudret 32 40 0 24 Jun 2015
Mercer kernels and integrated variance experimental design: connections between Gaussian process regression and polynomial approximation Alex A. Gorodetsky Youssef M. Marzouk 58 38 0 27 Feb 2015
Accelerating Asymptotically Exact MCMC for Computationally Intensive Models via Local Approximations Patrick R. Conrad Youssef M. Marzouk Natesh S. Pillai Aaron Smith 52 116 0 07 Feb 2014
The Rate of Convergence for Approximate Bayesian Computation Stuart Barber J. Voss M. Webster 35 80 0 08 Nov 2013
Adaptive construction of surrogates for the Bayesian solution of inverse problems Jinglai Li Youssef M. Marzouk 36 118 0 21 Sep 2013