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个人简介
My research area is machine learning and statistics, with interests spreading over the pipeline of data collection (e.g., by crowdsourcing), learning, inference, decision making, and various applications using probabilistic modeling.
Examples of topics of interest: probabilistic graphical models; variational and Monte Carlo inference; deep learning; deep reinforcement learning; distributed learning; big data problems; kernel and nonparametric methods; applications: crowdsourcing, vision, bioinformatics, etc.
I am an action editor of Journal of Machine Learning Research (JMLR).
Examples of topics of interest: probabilistic graphical models; variational and Monte Carlo inference; deep learning; deep reinforcement learning; distributed learning; big data problems; kernel and nonparametric methods; applications: crowdsourcing, vision, bioinformatics, etc.
I am an action editor of Journal of Machine Learning Research (JMLR).
研究兴趣
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Chengyue Gong,Xiaocong Du,Bhargav Bhushanam,Lemeng Wu,Xingchao Liu, Dhruv Choudhary,Arun Kejariwal,Qiang Liu
AAAI 2024no. 11 (2024): 12181-12189
CoRR (2024)
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arXiv (Cornell University) (2023)
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CoRR (2023): 27611-27629
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CoRR (2023)
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