基本信息
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职业迁徙
个人简介
His work spans statistical learning, optimization, information theory, and computation, with a few driving goals. (1) To discover statistical learning procedures that optimally trade between resources--computation, communication, privacy provided to study participants--while maintaining good statistical performance. (2) To build efficient large-scale optimization methods that address the spectrum of optimization, machine learning, and data analysis problems we face, allowing us to move beyond bespoke solutions to methods that robustly work. (3) To develop tools to assess and guarantee the validity of--and confidence we should have in--machine-learned systems.
研究兴趣
论文共 182 篇作者统计合作学者相似作者
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CoRR (2024)
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JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2024): 1-22
Oper. Res.no. 2 (2023): 649-664
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arXiv (Cornell University) (2023)
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arXiv (Cornell University) (2023)
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arxiv(2023)
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arxiv(2022)
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D-Core
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