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Low Rank Directed Acyclic Graphs and Causal Structure Learning


Jun 10, 2020
Zhuangyan Fang, Shengyu Zhu, Jiji Zhang, Yue Liu, Zhitang Chen, Yangbo He


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A Graph Autoencoder Approach to Causal Structure Learning


Nov 18, 2019
Ignavier Ng, Shengyu Zhu, Zhitang Chen, Zhuangyan Fang

* NeurIPS 2019 Workshop "Do the right thing": machine learning and causal inference for improved decision making 

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Masked Gradient-Based Causal Structure Learning


Oct 18, 2019
Ignavier Ng, Zhuangyan Fang, Shengyu Zhu, Zhitang Chen


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Causal Discovery by Kernel Intrinsic Invariance Measure


Sep 02, 2019
Zhitang Chen, Shengyu Zhu, Yue Liu, Tim Tse

* 9 pages, preprint 

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Asymptotically Optimal One- and Two-Sample Testing with Kernels


Aug 27, 2019
Shengyu Zhu, Biao Chen, Zhitang Chen, Pengfei Yang

* Submitted to IEEE Transactions on Information Theory. Short conference version can be found at arXiv:1802.07581 

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Causal Discovery with Reinforcement Learning


Jun 11, 2019
Shengyu Zhu, Zhitang Chen

* 10 pages, preprint 

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Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit


May 26, 2018
Shengyu Zhu, Biao Chen, Pengfei Yang, Zhitang Chen

* 12 pages 

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Exponentially Consistent Kernel Two-Sample Tests


May 21, 2018
Shengyu Zhu, Biao Chen, Zhitang Chen

* 17 pages. Added application to off-line change detection 

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