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Distributionally Invariant Learning: Rationalization and Practical Algorithms


Jun 07, 2022
Jiashuo Liu, Jiayun Wu, Jie Peng, Zheyan Shen, Bo Li, Peng Cui


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NICO++: Towards Better Benchmarking for Domain Generalization


Apr 21, 2022
Xingxuan Zhang, Yue He, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui

* The NICO challenge based on NICO++ can be found at https://nicochallenge.com/ 

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Regulatory Instruments for Fair Personalized Pricing


Feb 09, 2022
Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu

* WWW 2022 

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Why Stable Learning Works? A Theory of Covariate Shift Generalization


Nov 03, 2021
Renzhe Xu, Peng Cui, Zheyan Shen, Xingxuan Zhang, Tong Zhang

* 25 pages 

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Kernelized Heterogeneous Risk Minimization


Oct 24, 2021
Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen

* 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia. arXiv admin note: text overlap with arXiv:2105.03818 

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Towards Out-Of-Distribution Generalization: A Survey


Aug 31, 2021
Zheyan Shen, Jiashuo Liu, Yue He, Xingxuan Zhang, Renzhe Xu, Han Yu, Peng Cui


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Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization


Jul 13, 2021
Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu


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Distributionally Robust Learning with Stable Adversarial Training


Jun 30, 2021
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li

* arXiv admin note: substantial text overlap with arXiv:2006.04414 

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Heterogeneous Risk Minimization


May 09, 2021
Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen

* Proceedings of the 38th International Conference on Machine Learning, PMLR 139, 2021. (ICML2021) 

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Deep Stable Learning for Out-Of-Distribution Generalization


Apr 16, 2021
Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen


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