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个人简介
I am a research scientist at Google Brain. I am broadly interested in advancing science and intelligence, and where the ideas involve probability, programs, and/or neural nets.
I like to work simultaneously on fundamental research as well as systems to accelerate this research. In terms of systems, this includes Edward2 for specifying probability models as programs, Mesh TensorFlow for distributed computation, and Tensor2Tensor for deep learning research. Previously, I was a Ph.D. student at Columbia advised by David Blei and Andrew Gelman. I developed the original Edward language and was a member of the Stan development team.
I like to work simultaneously on fundamental research as well as systems to accelerate this research. In terms of systems, this includes Edward2 for specifying probability models as programs, Mesh TensorFlow for distributed computation, and Tensor2Tensor for deep learning research. Previously, I was a Ph.D. student at Columbia advised by David Blei and Andrew Gelman. I developed the original Edward language and was a member of the Stan development team.
研究兴趣
论文共 73 篇作者统计合作学者相似作者
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Jerry Wei,Chengrun Yang,Xinying Song,Yifeng Lu, Nathan Hu, Jie Huang,Dustin Tran,Daiyi Peng,Ruibo Liu,Da Huang, Cosmo Du,Quoc V. Le
arxiv(2024)
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ANNUAL REVIEW OF STATISTICS AND ITS APPLICATIONno. 1 (2023): 219-246
James Urquhart Allingham,Jie Ren, Michael W Dusenberry,Jeremiah Zhe Liu,Xiuye Gu,Yin Cui,Dustin Tran,Balaji Lakshminarayanan
arxiv(2023)
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arxiv(2022)
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JOURNAL OF MACHINE LEARNING RESEARCH (2022): 42:1-42:63
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Dustin Tran,Jeremiah Liu, Michael W. Dusenberry,Du Phan,Mark Collier,Jie Ren,Kehang Han,Zi Wang,Zelda Mariet,Huiyi Hu,Neil Band,Tim G. J. Rudner,
arxiv(2022)
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