基本信息
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职业迁徙
个人简介
My research interest is modern statistical machine learning, mainly including statistical deep learning, and statistical reinforcement learning. Currently, my research works mainly focus on:
1. Statistical Deep Learning Methods: (1) distribution drift: from robust statistics, adversarial robustness/ privacy, to out-of-distribution generalization, transfer/continual learning, outliers detection, weakly supervised and noisy label settings. (2) statistical inference and uncertainty quantification
2. Statistical Reinforcement Learning Algorithms: distributional RL, including distribution estimation/learning, regularization, optimization, stability, robustness and exploration
1. Statistical Deep Learning Methods: (1) distribution drift: from robust statistics, adversarial robustness/ privacy, to out-of-distribution generalization, transfer/continual learning, outliers detection, weakly supervised and noisy label settings. (2) statistical inference and uncertainty quantification
2. Statistical Reinforcement Learning Algorithms: distributional RL, including distribution estimation/learning, regularization, optimization, stability, robustness and exploration
研究兴趣
论文共 56 篇作者统计合作学者相似作者
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Vahid Partovi Nia,Guojun Zhang,Ivan Kobyzev, Michael R. Metel, Xinlin Li,Ke Sun,Sobhan Hemati,Masoud Asgharian,Linglong Kong,Wulong Liu,Boxing Chen
CoRR (2023)
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MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: RESEARCH TRACK, ECML PKDD 2023, PT V (2023): 36-51
PROGRAMMING LANGUAGES AND SYSTEMS, APLAS 2023 (2023): 24-45
arxiv(2022)
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D-Core
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