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Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise

May 20, 2020
Yue Wang, Shaofeng Zou

* UAI 2020 

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A CNN-Based Blind Denoising Method for Endoscopic Images

Mar 16, 2020
Shaofeng Zou, Mingzhu Long, Xuyang Wang, Xiang Xie, Guolin Li, Zhihua Wang

* accepted in BioCAS2019 conference 

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Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples

Sep 26, 2019
Tengyu Xu, Shaofeng Zou, Yingbin Liang

* To appear in NeurIPS 2019 

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Finite-Sample Analysis for SARSA and Q-Learning with Linear Function Approximation

Feb 06, 2019
Shaofeng Zou, Tengyu Xu, Yingbin Liang


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Information-Theoretic Understanding of Population Risk Improvement with Model Compression

Jan 27, 2019
Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli

* submitted to ICML 2019 

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Tightening Mutual Information Based Bounds on Generalization Error

Jan 15, 2019
Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli

* Submitted to ISIT 2019 

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Linear-Complexity Exponentially-Consistent Tests for Universal Outlying Sequence Detection

Dec 04, 2017
Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli

* Double-column 12-page version sent to IEEE. Transaction on Signal Processing 

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Nonparametric Detection of Anomalous Data Streams

Dec 14, 2016
Shaofeng Zou, Yingbin Liang, H. Vincent Poor, Xinghua Shi

* Submitted to IEEE Transactions on Signal Processing, 2015 

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A Kernel-Based Nonparametric Test for Anomaly Detection over Line Networks

Apr 07, 2016
Shaofeng Zou, Yingbin Liang, H. Vincent Poor

* This paper has been withdrawn because we have submitted a complete version. The complete version is arXiv:1604.01351 

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Nonparametric Detection of Geometric Structures over Networks

Apr 06, 2016
Shaofeng Zou, Yingbin Liang, H. Vincent Poor

* Submitted for journal publication in November 2015. arXiv admin note: text overlap with arXiv:1404.0298 

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