Likelihood-Free Inference with Deep Gaussian Processes

18 June 2020

Papers citing "Likelihood-Free Inference with Deep Gaussian Processes"

6 / 6 papers shown

Title
Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference Sam Griesemer Defu Cao Zijun Cui Carolina Osorio Y. Liu 70 2 0 07 Dec 2024
A Bayesian Optimization approach for calibrating large-scale activity-based transport models S. Agriesti Vladimir Kuzmanovski Jaakko Hollmén C. Roncoli Bat-hen Nahmias-Biran 23 5 0 07 Feb 2023
Likelihood-Free Inference in State-Space Models with Unknown Dynamics Alexander Aushev Thong Tran Henri Pesonen Andrew Howes Samuel Kaski 28 1 0 02 Nov 2021
Warped Gradient-Enhanced Gaussian Process Surrogate Models for Exponential Family Likelihoods with Intractable Normalizing Constants Quan Vu M. Moores A. Zammit‐Mangion 18 1 0 10 May 2021
Neural Posterior Regularization for Likelihood-Free Inference Dongjun Kim Kyungwoo Song Seung-Jae Shin Wanmo Kang Il-Chul Moon Weonyoung Joo 20 1 0 15 Feb 2021
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 104 184 0 12 Jan 2021