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Kun Zhang

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Attainability and Optimality: The Equalized Odds Fairness Revisited

Feb 24, 2022
Zeyu Tang, Kun Zhang

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Learning Latent Causal Dynamics

Feb 23, 2022
Weiran Yao, Guangyi Chen, Kun Zhang

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Conditional Contrastive Learning with Kernel

Feb 14, 2022
Yao-Hung Hubert Tsai, Tianqin Li, Martin Q. Ma, Han Zhao, Kun Zhang, Louis-Philippe Morency, Ruslan Salakhutdinov

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Optimal transport for causal discovery

Jan 23, 2022
Ruibo Tu, Kun Zhang, Hedvig Kjellström, Cheng Zhang

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Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions

Jan 14, 2022
Ignavier Ng, Yujia Zheng, Jiji Zhang, Kun Zhang

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Perlin Noise Improve Adversarial Robustness

Dec 26, 2021
Chengjun Tang, Kun Zhang, Chunfang Xing, Yong Ding, Zengmin Xu

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GLaM: Efficient Scaling of Language Models with Mixture-of-Experts

Dec 13, 2021
Nan Du, Yanping Huang, Andrew M. Dai, Simon Tong, Dmitry Lepikhin, Yuanzhong Xu, Maxim Krikun, Yanqi Zhou, Adams Wei Yu, Orhan Firat, Barret Zoph, Liam Fedus, Maarten Bosma, Zongwei Zhou, Tao Wang, Yu Emma Wang, Kellie Webster, Marie Pellat, Kevin Robinson, Kathy Meier-Hellstern, Toju Duke, Lucas Dixon, Kun Zhang, Quoc V Le, Yonghui Wu, Zhifeng Chen, Claire Cui

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Transferable Time-Series Forecasting under Causal Conditional Shift

Nov 05, 2021
Zijian Li, Ruichu Cai, Tom Z. J Fu, Kun Zhang

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Towards Federated Bayesian Network Structure Learning with Continuous Optimization

Oct 18, 2021
Ignavier Ng, Kun Zhang

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