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Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision



Xingchao Liu , Mao Ye , Dengyong Zhou , Qiang Liu


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Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation



Ziyang Tang , Yihao Feng , Lihong Li , Dengyong Zhou , Qiang Liu


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Neural Phrase-to-Phrase Machine Translation



Jiangtao Feng , Lingpeng Kong , Po-Sen Huang , Chong Wang , Da Huang , Jiayuan Mao , Kan Qiao , Dengyong Zhou


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Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation



Qiang Liu , Lihong Li , Ziyang Tang , Dengyong Zhou

* 21 pages, 5 figures, NIPS 2018 (spotlight) 

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Towards Neural Phrase-based Machine Translation



Po-Sen Huang , Chong Wang , Sitao Huang , Dengyong Zhou , Li Deng

* in International Conference on Learning Representations (ICLR) 2018 

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Sequence Modeling via Segmentations



Chong Wang , Yining Wang , Po-Sen Huang , Abdelrahman Mohamed , Dengyong Zhou , Li Deng

* recurrent neural networks, dynamic programming, structured prediction 

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On the Discrimination-Generalization Tradeoff in GANs



Pengchuan Zhang , Qiang Liu , Dengyong Zhou , Tao Xu , Xiaodong He

* ICLR 2018 

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Action-depedent Control Variates for Policy Optimization via Stein's Identity



Hao Liu , Yihao Feng , Yi Mao , Dengyong Zhou , Jian Peng , Qiang Liu

* The first two authors contributed equally. Author ordering determined by coin flip over a Google Hangout. Accepted by ICLR 2018 

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Provably Optimal Algorithms for Generalized Linear Contextual Bandits



Lihong Li , Yu Lu , Dengyong Zhou

* Published at ICML 2017 

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Stochastic Variance Reduction Methods for Policy Evaluation



Simon S. Du , Jianshu Chen , Lihong Li , Lin Xiao , Dengyong Zhou

* Accepted by ICML 2017 

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