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EFMVFL: An Efficient and Flexible Multi-party Vertical Federated Learning without a Third Party


Jan 17, 2022
Yimin Huang, Xinyu Feng, Wanwan Wang, Hao He, Yukun Wang, Ming Yao

* 9pages,2 figures 

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On Effective Scheduling of Model-based Reinforcement Learning


Nov 16, 2021
Hang Lai, Jian Shen, Weinan Zhang, Yimin Huang, Xing Zhang, Ruiming Tang, Yong Yu, Zhenguo Li

* Accepted at NeurIPS2021 

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MOFA: Modular Factorial Design for Hyperparameter Optimization


Nov 18, 2020
Bo Xiong, Yimin Huang, Steffen Staab, Zhenguo Li

* 15 pages, 5 figures 

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AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling


Jul 18, 2020
Wenshuo Ma, Tingzhong Tian, Hang Xu, Yimin Huang, Zhenguo Li

* Accepted by ECCV 2020 (spotlight) 

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An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization


Jul 11, 2020
Yimin Huang, Yujun Li, Zhenguo Li, Zhihua Zhang


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Meta-Learning PAC-Bayes Priors in Model Averaging


Dec 25, 2019
Yimin Huang, Weiran Huang, Liang Li, Zhenguo Li

* Accepted by AAAI 2020 

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Pearl's Calculus of Intervention Is Complete


Jun 27, 2012
Yimin Huang, Marco Valtorta

* Appears in Proceedings of the Twenty-Second Conference on Uncertainty in Artificial Intelligence (UAI2006) 

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