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

3 March 2019

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

4 / 4 papers shown

Title
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation Eric Heiden Chris Denniston David Millard Fabio Ramos Gaurav Sukhatme 85 22 0 18 Sep 2021
DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting Eric Heiden Miles Macklin Yashraj S. Narang Dieter Fox Animesh Garg Fabio Ramos 65 96 0 25 May 2021
Likelihood-Free Inference with Deep Gaussian Processes Alexander Aushev Henri Pesonen Markus Heinonen J. Corander Samuel Kaski GP 101 10 0 18 Jun 2020
Bayesian Deconditional Kernel Mean Embeddings Kelvin Hsu F. Ramos CML BDL 54 9 0 01 Jun 2019