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个人简介
I head the Data to Actionable Knowledge (DtAK) group at Harvard Computer Science. We use probabilistic methods to address many decision-making scenarios, with a focus on applications related to healthcare. Our work falls into three major areas:
Probabilistic modeling and inference (especially Bayesian models): How can we characterize the uncertainty in large, heterogeneous data? How can we fit models that will be useful for downstream decision-making? How can we build models and inference techniques that will behave in expected and desired ways?
Decision-making under uncertainty (especially sequential decision-making): How can we optimize policies given batches of heterogeneous data? How can we provide useful information, even if we can't solve for a policy? How can we characterize the limits of our ability to provide decision support?
Interpretability and Statistical methods for validation: How can we estimate the quality of a policy from batch data? How can we expose key elements of a model or policy for expert inspection?
Probabilistic modeling and inference (especially Bayesian models): How can we characterize the uncertainty in large, heterogeneous data? How can we fit models that will be useful for downstream decision-making? How can we build models and inference techniques that will behave in expected and desired ways?
Decision-making under uncertainty (especially sequential decision-making): How can we optimize policies given batches of heterogeneous data? How can we provide useful information, even if we can't solve for a policy? How can we characterize the limits of our ability to provide decision support?
Interpretability and Statistical methods for validation: How can we estimate the quality of a policy from batch data? How can we expose key elements of a model or policy for expert inspection?
研究兴趣
论文共 237 篇作者统计合作学者相似作者
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CoRR (2023)
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Xudong Shen,Hannah Brown, Jiashu Tao,Martin Strobel,Yao Tong, Akshay Narayan,Harold Soh,Finale Doshi-Velez
CoRR (2023)
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CoRR (2023)
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CoRR (2023)
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Xiaohui Shen,Hannah Brown, Jian Tao,Martin Strobel, Takeshi Yao, Abhilasha Narayan,Harold Soh,Finale Doshi‐Velez
arXiv (Cornell University) (2023)
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Jose Roberto Tello Ayala, Akl C. Fahed,Weiwei Pan, Eugene V. Pomerantsev,Patrick T. Ellinor,Anthony Philippakis,Finale Doshi-Velez
CoRR (2023)
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