GPS-ABC: Gaussian Process Surrogate Approximate Bayesian Computation

13 January 2014

Papers citing "GPS-ABC: Gaussian Process Surrogate Approximate Bayesian Computation"

19 / 19 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 74 13 0 03 Jan 2025
Bayesian Synthetic Likelihood David T. Frazier Christopher C. Drovandi David J. Nott 39 217 0 09 May 2023
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models Louis Sharrock J. Simons Song Liu Mark Beaumont DiffM 64 34 0 10 Oct 2022
No-Regret Algorithms for Private Gaussian Process Bandit Optimization Abhimanyu Dubey 22 13 0 24 Feb 2021
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 104 185 0 12 Jan 2021
Likelihood-Free Inference with Deep Gaussian Processes Alexander Aushev Henri Pesonen Markus Heinonen J. Corander Samuel Kaski GP 26 10 0 18 Jun 2020
On Contrastive Learning for Likelihood-free Inference Conor Durkan Iain Murray George Papamakarios BDL 45 117 0 10 Feb 2020
Likelihood-free MCMC with Amortized Approximate Ratio Estimators Joeri Hermans Volodimir Begy Gilles Louppe 32 20 0 10 Mar 2019
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference Kelvin Hsu F. Ramos 30 12 0 03 Mar 2019
Bayesian inference using synthetic likelihood: asymptotics and adjustments David T. Frazier David J. Nott Christopher C. Drovandi Robert Kohn 23 40 0 13 Feb 2019
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows George Papamakarios D. Sterratt Iain Murray BDL 60 358 0 18 May 2018
Approximating the Likelihood in Approximate Bayesian Computation Christopher C. Drovandi Clara Grazian Kerrie Mengersen Christian P. Robert 27 12 0 18 Mar 2018
Kernel Recursive ABC: Point Estimation with Intractable Likelihood T. Kajihara Motonobu Kanagawa Keisuke Yamazaki Kenji Fukumizu 37 13 0 23 Feb 2018
Flexible statistical inference for mechanistic models of neural dynamics Jan-Matthis Lueckmann P. J. Gonçalves Giacomo Bassetto Kaan Öcal M. Nonnenmacher Jakob H. Macke 34 240 0 06 Nov 2017
Likelihood-free inference by ratio estimation Owen Thomas Ritabrata Dutta J. Corander Samuel Kaski Michael U. Gutmann 42 145 0 30 Nov 2016
Automatic Variational ABC Alexander Moreno T. Adel Edward Meeds James M. Rehg Max Welling 20 12 0 28 Jun 2016
Fast $ε$ -free Inference of Simulation Models with Bayesian Conditional Density Estimation George Papamakarios Iain Murray TPM 32 158 0 20 May 2016
Scalable Bayesian Inference for the Inverse Temperature of a Hidden Potts Model M. Moores Geoff K. Nicholls A. Pettitt Kerrie Mengersen TPM 37 22 0 27 Mar 2015
Coupled MCMC with a randomized acceptance probability Geoff K. Nicholls C. Fox Alexis Muir Watt 48 41 0 30 May 2012