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arXiv · 1711.11139

Easy High-Dimensional Likelihood-Free Inference

Vinay Jethava·Devdatt Dubhashi
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Abstract

We introduce a framework using Generative Adversarial Networks (GANs) for likelihood--free inference (LFI) and Approximate Bayesian Computation (ABC) where we replace the black-box simulator model with an approximator network and generate a rich set of summary features in a data driven fashion. On benchmark data sets, our approach improves on others with respect to scalability, ability to handle high dimensional data and complex probability distributions.

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Vinay Jethava, Devdatt Dubhashi. 2018-08-23. Easy High-Dimensional Likelihood-Free Inference. https://arxiv.org/abs/1711.11139

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