Double Generative Adversarial Networks for Conditional Independence Testing

3 Jun 2020Chengchun ShiTianlin XuWicher BergsmaLexin Li

In this article, we consider the problem of high-dimensional conditional independence testing, which is a key building block in statistics and machine learning. We propose a double generative adversarial networks (GANs)-based inference procedure... (read more)

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