Parallel Gaussian process surrogate Bayesian inference with noisy
likelihood evaluations

Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations

3 May 2019

Marko Jarvenpaa

Michael U. Gutmann

Pekka Marttinen

Papers citing "Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations"

11 / 11 papers shown

Title
Stacking Variational Bayesian Monte Carlo Francesco Silvestrin Chengkun Li Luigi Acerbi BDL 42 0 0 07 Apr 2025
Bayesian Adaptive Calibration and Optimal Design Rafael Oliveira Dino Sejdinovic David Howard Edwin Bonilla 113 0 0 20 Jan 2025
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 74 13 0 03 Jan 2025
PyVBMC: Efficient Bayesian inference in Python Bobby Huggins Chengkun Li Marlon Tobaben Mikko J. Aarnos Luigi Acerbi 25 9 0 16 Mar 2023
Introduction To Gaussian Process Regression In Bayesian Inverse Problems, With New ResultsOn Experimental Design For Weighted Error Measures T. Helin Andrew M. Stuart A. Teckentrup K. Zygalakis 34 4 0 09 Feb 2023
Bayesian Optimization with Informative Covariance Afonso Eduardo Michael U. Gutmann 24 3 0 04 Aug 2022
Optimality in Noisy Importance Sampling F. Llorente Luca Martino Jesse Read D. Delgado 39 5 0 07 Jan 2022
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 104 185 0 12 Jan 2021
Variational Bayesian Monte Carlo with Noisy Likelihoods Luigi Acerbi 22 40 0 15 Jun 2020
Unbiased and Efficient Log-Likelihood Estimation with Inverse Binomial Sampling B. V. Opheusden Luigi Acerbi W. Ma 17 36 0 12 Jan 2020
Gaussian process modeling in approximate Bayesian computation to estimate horizontal gene transfer in bacteria Marko Jarvenpaa Michael U. Gutmann Aki Vehtari Pekka Marttinen 37 41 0 20 Oct 2016