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Unsupervised Out-of-Domain Detection via Pre-trained Transformers


Jun 02, 2021
Keyang Xu, Tongzheng Ren, Shikun Zhang, Yihao Feng, Caiming Xiong

* Accepted by ACL 2021. Code is available at https://github.com/rivercold/BERT-unsupervised-OOD 

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Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System


Apr 24, 2021
Congying Xia, Wenpeng Yin, Yihao Feng, Philip Yu

* 10 pages, accepted to NAACL 2021 

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Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds


Mar 09, 2021
Yihao Feng, Ziyang Tang, Na Zhang, Qiang Liu

* 33 Pages, 5 figures, extended version of a paper with the same title accepted by ICLR2021 

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Transparent Interpretation with Knockouts


Nov 01, 2020
Xing Han, Yihao Feng, Na Zhang, Qiang Liu


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Off-Policy Interval Estimation with Lipschitz Value Iteration


Oct 29, 2020
Ziyang Tang, Yihao Feng, Na Zhang, Jian Peng, Qiang Liu

* To appear at NeurIPS 2020 

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Accountable Off-Policy Evaluation With Kernel Bellman Statistics


Aug 15, 2020
Yihao Feng, Tongzheng Ren, Ziyang Tang, Qiang Liu

* 22 pages, 4 figures, ICML 2020 

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Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation


Oct 16, 2019
Ziyang Tang, Yihao Feng, Lihong Li, Dengyong Zhou, Qiang Liu


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A Kernel Loss for Solving the Bellman Equation


May 25, 2019
Yihao Feng, Lihong Li, Qiang Liu


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Knowledge-guided Semantic Computing Network


Sep 29, 2018
Guangming Shi, Zhongqiang Zhang, Dahua Gao, Xuemei Xie, Yihao Feng, Xinrui Ma, Danhua Liu

* 13 pages, 13 figures 

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


Feb 23, 2018
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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Two Methods For Wild Variational Inference


Oct 30, 2017
Qiang Liu, Yihao Feng


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Learning to Draw Samples with Amortized Stein Variational Gradient Descent


Oct 30, 2017
Yihao Feng, Dilin Wang, Qiang Liu

* Accepted by UAI 2017 

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