Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Zhitang Chen

Causal World Models by Unsupervised Deconfounding of Physical Dynamics

Dec 28, 2020
Minne Li, Mengyue Yang, Furui Liu, Xu Chen, Zhitang Chen, Jun Wang

  Access Paper or Ask Questions

Disentangled Generative Causal Representation Learning

Oct 06, 2020
Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang

  Access Paper or Ask Questions

Decoder-free Robustness Disentanglement without (Additional) Supervision

Jul 02, 2020
Yifei Wang, Dan Peng, Furui Liu, Zhenguo Li, Zhitang Chen, Jiansheng Yang

  Access Paper or Ask Questions

Low Rank Directed Acyclic Graphs and Causal Structure Learning

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

  Access Paper or Ask Questions

Clustering Causal Additive Noise Models

Jun 08, 2020
Vahid Partovi Nia, Xinlin Li, Masoud Asgharian, Shoubo Hu, Zhitang Chen, Yanhui Geng

  Access Paper or Ask Questions

CausalVAE: Structured Causal Disentanglement in Variational Autoencoder

Apr 18, 2020
Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Masked Gradient-Based Causal Structure Learning

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

  Access Paper or Ask Questions

Causal Discovery by Kernel Intrinsic Invariance Measure

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

* 9 pages, preprint 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Domain Generalization via Multidomain Discriminant Analysis

Jul 25, 2019
Shoubo Hu, Kun Zhang, Zhitang Chen, Laiwan Chan

* UAI 2019 

  Access Paper or Ask Questions

Causal Discovery with Reinforcement Learning

Jun 11, 2019
Shengyu Zhu, Zhitang Chen

* 10 pages, preprint 

  Access Paper or Ask Questions

Kernel-based Multi-Task Contextual Bandits in Cellular Network Configuration

Nov 27, 2018
Xiaoxiao Wang, Xueying Guo, Jie Chuai, Zhitang Chen, Xin Liu

  Access Paper or Ask Questions

Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models

Oct 27, 2018
Shoubo Hu, Zhitang Chen, Vahid Partovi Nia, Laiwan Chan, Yanhui Geng

* Published at NIPS 2018 

  Access Paper or Ask Questions

A Kernel Embedding-based Approach for Nonstationary Causal Model Inference

Sep 23, 2018
Shoubo Hu, Zhitang Chen, Laiwan Chan

* Neural computation, 30(5), 1394-1425, 2018 
* Published at Neural Computation 

  Access Paper or Ask Questions

Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning

Jun 05, 2018
Thomas G. Dietterich, George Trimponias, Zhitang Chen

* To appear at ICML 2018 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Exponentially Consistent Kernel Two-Sample Tests

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

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

  Access Paper or Ask Questions