基本信息
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Career Trajectory
Bio
My goal is to create AI systems that learn from few samples to robustly make good decisions, motivated by our applications to healthcare and education. My lab is part of the Stanford AI Lab, the Stanford Statistical ML group, and AI Safety @Stanford. My work has been honored by early faculty career awards (National Science Foundation, Office of Naval Research, Microsoft Research (1 of 7 worldwide) ). My and my amazing lab members' research has received 9 best research paper nominations and awards (CHI, EDMx3, LAK, UAI, RLDMx2, ITS). I am privileged to serve on the International Machine Learning Society (which coordinates ICML) Board, the Khan Academy Research Advisory Board, the Stanford Faculty Women's Forum Steering Committee, and and I previously served on the Women in Machine Learning (WIML) board.
Research Interests
Papers共 217 篇Author StatisticsCo-AuthorSimilar Experts
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LAK '24 Proceedings of the 14th Learning Analytics and Knowledge Conferencepp.404-415, (2024)
arxiv(2024)
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Sherry Ruan,Allen Nie,William Steenbergen,Jiayu He, J. Q. Zhang, Meng Guo,Yao Liu, Kyle Dang Nguyen, Catherine Y. Wang,Rui Ying,James A. Landay,Emma Brunskill
Machine Learningno. 5 (2024): 1-26
Matthew Jörke, Shardul Sapkota, Lyndsea Warkenthien, Niklas Vainio,Paul Schmiedmayer,Emma Brunskill,James Landay
CoRR (2024)
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CoRR (2024)
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Allen Nie,Yash Chandak,Miroslav Suzara, Malika Ali,Juliette Woodrow, Matt Peng,Mehran Sahami,Emma Brunskill,Chris Piech
crossref(2024)
CoRR (2024)
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arxiv(2024)
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Author Statistics
#Papers: 218
#Citation: 8734
H-Index: 46
G-Index: 88
Sociability: 6
Diversity: 2
Activity: 70
Co-Author
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