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George Chen is an assistant professor of information systems at Heinz College and an affiliated faculty member of the Machine Learning Department. He works on machine learning for healthcare and for information systems in developing countries. In these applications, his work revolves around forecasting, such as predicting how long a patient will stay in a hospital, or when and where farmers in rural India should sell their crops.
To produce forecasts, George typically uses nonparametric methods that, instead of specifying a model for the data in advance, let the data decide on what model to use, essentially through an election-like process where each data point casts a vote. Since these methods inform interventions that can be costly and affect people's well-being, ensuring that predictions are reliable and interpretable is essential. To this end, in addition to developing nonparametric predictors, George also produces theory for when and why they work, and identifies forecast evidence that would be helpful to practitioners for decision making.
To produce forecasts, George typically uses nonparametric methods that, instead of specifying a model for the data in advance, let the data decide on what model to use, essentially through an election-like process where each data point casts a vote. Since these methods inform interventions that can be costly and affect people's well-being, ensuring that predictions are reliable and interpretable is essential. To this end, in addition to developing nonparametric predictors, George also produces theory for when and why they work, and identifies forecast evidence that would be helpful to practitioners for decision making.
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论文共 21 篇作者统计合作学者相似作者
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Hyewon Jeong,Sarah Jabbour,Yuzhe Yang, Rahul Thapta,Hussein Mozannar,William Jongwon Han,Nikita Mehandru,Michael Wornow,Vladislav Lialin,Xin Liu,Alejandro Lozano, Jiacheng Zhu,
Machine Learning for Health Workshoppp.1-12, (2024)
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Hyewon Jeong,Sarah Jabbour,Yuzhe Yang, Rahul Thapta,Hussein Mozannar,William Jongwon Han,Nikita Mehandru,Michael Wornow,Vladislav Lialin,Xin Liu,Alejandro Lozano, Jiacheng Zhu,
arxiv(2024)
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JOURNAL OF MACHINE LEARNING RESEARCH (2024)
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERINGno. 12 (2023): 12181-12193
Machine Learning in Health Care (2023): 667-690
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Proceedings of machine learning research (2023): 403-427
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arXiv (Cornell University) (2023)
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