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Learning Privately over Distributed Features: An ADMM Sharing Approach


Jul 17, 2019
Yaochen Hu, Peng Liu, Linglong Kong, Di Niu


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Distributional Reinforcement Learning for Efficient Exploration


May 13, 2019
Borislav Mavrin, Shangtong Zhang, Hengshuai Yao, Linglong Kong, Kaiwen Wu, Yaoliang Yu

* ICML, 2019 

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Deep Reinforcement Learning with Decorrelation


Mar 18, 2019
Borislav Mavrin, Hengshuai Yao, Linglong Kong


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QUOTA: The Quantile Option Architecture for Reinforcement Learning


Nov 07, 2018
Shangtong Zhang, Borislav Mavrin, Linglong Kong, Bo Liu, Hengshuai Yao

* AAAI 2019 

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Growing Story Forest Online from Massive Breaking News


Mar 01, 2018
Bang Liu, Di Niu, Kunfeng Lai, Linglong Kong, Yu Xu

* Accepted by CIKM 2017, 9 pages 

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Expectile Matrix Factorization for Skewed Data Analysis


Mar 03, 2017
Rui Zhu, Di Niu, Linglong Kong, Zongpeng Li

* 8 page main text with 5 page supplementary documents, published in AAAI 2017 

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Local Region Sparse Learning for Image-on-Scalar Regression


May 27, 2016
Yao Chen, Xiao Wang, Linglong Kong, Hongtu Zhu


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