基本信息
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个人简介
Research Interests
I am primarily interested in machine learning theory, AI safety/alignment, and optimization.
I believe that a good theory should come from practice and be able to advance practice: it should start from important real-world phenomena or problems, explain or solve them theoretically, and then be applied to guide the practice. Based on this philosophy, I conduct research with both theory and experiments, aiming to develop solid foundations for modern machine learning and make AI in the era of large models more efficient, safe, and reliable.
I am primarily interested in machine learning theory, AI safety/alignment, and optimization.
I believe that a good theory should come from practice and be able to advance practice: it should start from important real-world phenomena or problems, explain or solve them theoretically, and then be applied to guide the practice. Based on this philosophy, I conduct research with both theory and experiments, aiming to develop solid foundations for modern machine learning and make AI in the era of large models more efficient, safe, and reliable.
研究兴趣
论文共 20 篇作者统计合作学者相似作者
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ICLR 2024 (2024)
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arxiv(2024)
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Abhishek Panigrahi,Nikunj Saunshi,Kaifeng Lyu, Sobhan Miryoosefi,Sashank Reddi,Satyen Kale,Sanjiv Kumar
CoRR (2024)
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CoRR (2024)
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arXiv (Cornell University) (2023)
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arXiv (Cornell University) (2023)
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