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Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic
  Likelihood-Free Inference

Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference

3 March 2019
Kelvin Hsu
F. Ramos
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Papers citing "Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference"

3 / 3 papers shown
Title
Probabilistic Inference of Simulation Parameters via Parallel
  Differentiable Simulation
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation
Eric Heiden
Chris Denniston
David Millard
Fabio Ramos
Gaurav Sukhatme
22
21
0
18 Sep 2021
Likelihood-Free Inference with Deep Gaussian Processes
Likelihood-Free Inference with Deep Gaussian Processes
Alexander Aushev
Henri Pesonen
Markus Heinonen
J. Corander
Samuel Kaski
GP
18
10
0
18 Jun 2020
Conditional mean embeddings as regressors - supplementary
Conditional mean embeddings as regressors - supplementary
Steffen Grunewalder
Guy Lever
Luca Baldassarre
Sam Patterson
A. Gretton
Massimiliano Pontil
80
143
0
21 May 2012
1