基本信息
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职业迁徙
个人简介
My research interest lies in machine learning for trustworthy AI. I am broadly interested in developing principled machine learning algorithms for building more reliable, trustworthy, and human-compatible AI systems in the real world. This requires the machine learning algorithms to be robust to the changing data and environments, to provide accurate and honest uncertainty estimates, and to consider human preferences and values in the interaction. I am particularly interested in high-stake applications that concern the safety and societal impact of AI.
I develop, analyze, and apply methods in statistical machine learning, deep learning, and sequential decision making. One established line of work is in distributionally robust learning under covariate shift. My recent projects cover topics in different types of distribution shift, active learning, safe exploration, off-policy learning, fair machine learning.
I develop, analyze, and apply methods in statistical machine learning, deep learning, and sequential decision making. One established line of work is in distributionally robust learning under covariate shift. My recent projects cover topics in different types of distribution shift, active learning, safe exploration, off-policy learning, fair machine learning.
研究兴趣
论文共 81 篇作者统计合作学者相似作者
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TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (2024): 120-136
Ha Manh Bui,Anqi Liu
International Conference on Artificial Intelligence and Statistics (2024): 2998-3006
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CoRR (2024)
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IEEE TRANSACTIONS ON BROADCASTINGno. 1 (2024): 278-289
TASpp.40:1-40:4, (2023)
ICML 2023pp.28167-28190, (2023)
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AISTATSpp.6443-6462, (2023)
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