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个人简介
Most of my work focuses on the applied mathematics of data, in particular on the theory and practice of what is now called big data, although I was doing it back when it was just massive, and prior to that when it was just large. On the theory side, we develop algorithmic and statistical methods for matrix, graph, regression, optimization, and related problems. On the implementation side, we provide implementations (e.g., on single machine, distributed data system, and supercomputer environments) of a range of matrix, graph, and optimization algorithms. On the applied side, we apply these methods to a range of problems in internet and social media analysis, social networks analysis, as well as genetics, mass spec imaging, astronomy, climate, and a range of other scientific applications.
研究兴趣
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IEEE Microno. 99 (2024): 1-5
Tommaso Baldi, Javier Campos, Ben Hawks,Jennifer Ngadiuba,Nhan Tran,Daniel Diaz,Javier Duarte,Ryan Kastner,Andres Meza,Melissa Quinnan,Olivia Weng, Caleb Geniesse,
IEEE VLSI Test Symposiumpp.1-5, (2024)
Pu Ren, Rie Nakata,Maxime Lacour,Ilan Naiman,Nori Nakata, Jialin Song,Zhengfa Bi,Osman Asif Malik, Dmitriy Morozov,Omri Azencot,N. Benjamin Erichson,Michael W. Mahoney
arxiv(2024)
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ICML 2024 (2024)
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Nicholas Lee, Thanakul Wattanawong,Sehoon Kim,Karttikeya Mangalam,Sheng Shen,Gopala Anumanchipalli,Michael W. Mahoney,Kurt Keutzer,Amir Gholami
arxiv(2024)
引用7浏览0引用
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Coleman Hooper,Sehoon Kim, Hiva Mohammadzadeh,Michael W. Mahoney,Yakun Sophia Shao,Kurt Keutzer,Amir Gholami
CoRR (2024)
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