基本信息
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Bio
My research aims to understand the challenges in responsible deployment and evaluation of machine learning systems. With that goal, I develop methods in causal inference, algorithmic fairness, and interactive learning, motivated by applications in personalized and population health.
Research Interests
Papers共 35 篇Author StatisticsCo-AuthorSimilar Experts
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Alexandre Kalimouttou,Jason N Kennedy,Jean Feng,Harvineet Singh,Suchi Saria,Derek C Angus,Christopher W Seymour,Romain Pirracchio
pubmed(2025)
arxiv(2025)
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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,Rafal Dariusz Kocielnik,Keith Harrigian,Haoran Zhang,Edward Lee,Milos Vukadinovic,Aparna Balagopalan,Vincent Jeanselme,Katherine Matton,Ilker Demirel,Jason Fries,Parisa Rashidi,Brett Beaulieu-Jones,Xuhai Orson Xu,Matthew McDermott,Tristan Naumann,Monica Agrawal,Marinka Zitnik,Berk Ustun,Edward Choi,Kristen Yeom,Gamze Gursoy,Marzyeh Ghassemi,Emma Pierson,George Chen,Sanjat Kanjilal,Michael Oberst, Linying Zhang,Harvineet Singh,Tom Hartvigsen,Helen Zhou,Chinasa T. Okolo
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medrxiv(2024)
NeurIPS 2024 (2024)
CAUSAL LEARNING AND REASONING, VOL 236 (2024): 587-608
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ICLR 2023 (2023)
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ICMLpp.41550-41578, (2023)
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society (2023)
Stefan Hegselmann,Antonio Parziale,Divya Shanmugam,Shengpu Tang, Mercy Nyamewaa Asiedu,Serina Chang,Thomas Hartvigsen,Harvineet Singh
arXiv (Cornell University) (2023)
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Author Statistics
#Papers: 35
#Citation: 329
H-Index: 10
G-Index: 18
Sociability: 5
Diversity: 1
Activity: 44
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