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职业迁徙
个人简介
Research
I work on algorithms for problems from the intersection of computer science and economics, including fair resource allocation, algorithmic game theory, and computational social choice. An area of growing interest to me is the application of these principles in algorithmic fairness to machine learning tasks like classification and clustering.
I am motivated by the intersection of algorithmic and normative challenges: what counts as a good and fair solution to problems in resource allocation, voting, or machine learning, and how can we compute such solutions? Many of the relevant techniques for my work come from game theory and approximation algorithms. While I enjoy formalizing problems mathematically, I am also particularly interested in how algorithmic techniques from computer science can yield practical insights for applied systems in the real world, a topic of ever more importance as algorithms take on a more pervasive role in the life of our society.
I work on algorithms for problems from the intersection of computer science and economics, including fair resource allocation, algorithmic game theory, and computational social choice. An area of growing interest to me is the application of these principles in algorithmic fairness to machine learning tasks like classification and clustering.
I am motivated by the intersection of algorithmic and normative challenges: what counts as a good and fair solution to problems in resource allocation, voting, or machine learning, and how can we compute such solutions? Many of the relevant techniques for my work come from game theory and approximation algorithms. While I enjoy formalizing problems mathematically, I am also particularly interested in how algorithmic techniques from computer science can yield practical insights for applied systems in the real world, a topic of ever more importance as algorithms take on a more pervasive role in the life of our society.
研究兴趣
论文共 17 篇作者统计合作学者相似作者
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arxiv(2023)
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Nianli Peng,Brandon Fain
CoRR (2023)
ACM Conference on Fairness, Accountability and Transparency (FAccT)pp.1125-1135, (2022)
AAAI'19/IAAI'19/EAAI'19: Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence and Thirty-First Innovative Applications of Artificial Intelligence Conference and Ninth AAAI Symposium on Educational Advances in Artificial Intelligence (2020): 1893-1900
Journal of Computing Sciences in Collegesno. 4 (2019): 18-19
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