基本信息
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Career Trajectory
Bio
My research focuses on machine learning, especially the combination between Bayesian
methods and deep neural networks. I aim to leverage probabilistic methods to improve the
quality, reliability and efficiency of machine learning systems. Specifically, I investigate how
to provide uncertainty estimation in probabilistic models and exploit the uncertainty to
improve the robustness and guide exploration. Furthermore, I am interested in improving the
learning efficiency and out-of-distribution generalization of intelligent systems, such as in
continual learning and meta-learning. I am enthusiastic at both fundamental and applied
research for solving realistic problems.
methods and deep neural networks. I aim to leverage probabilistic methods to improve the
quality, reliability and efficiency of machine learning systems. Specifically, I investigate how
to provide uncertainty estimation in probabilistic models and exploit the uncertainty to
improve the robustness and guide exploration. Furthermore, I am interested in improving the
learning efficiency and out-of-distribution generalization of intelligent systems, such as in
continual learning and meta-learning. I am enthusiastic at both fundamental and applied
research for solving realistic problems.
Research Interests
Papers共 30 篇Author StatisticsCo-AuthorSimilar Experts
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引用量
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期刊级别
合作者
合作机构
International Conference on Learning Representations (ICLR) (2022)
Cited11Views0EIBibtex
11
0
semanticscholar(2021)
Cited0Views0Bibtex
0
0
INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 139 (2021): 9955-9965
Cited5Views0EIBibtex
5
0
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