基本信息
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职业迁徙
个人简介
Research Areas: AI for Social Good(s), Computational Game Theory, Mechanism Design, Algorithms, Data/Graph Mining, Machine Learning, Discrete Mathematics
My current research aims to address the modeling and computational aspects of societal problems from AI and Machine Learning (ML) perspectives.
My main approach is to introduce computational models and design methods to compactly capture and efficiently solve societal problems. I leverage ideas from AI/computational game theory (CGT)/algorithmic mechanism design (AMD) when the problems involve strategic agents and decision-making, and ML and data science when the problems deal with predictions and inferences. I am also interested in the design of lab and field experiments to improve and evaluate models and methods.
研究兴趣
论文共 70 篇作者统计合作学者相似作者
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AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systemsno. 9 (2023): 2892-2894
ICLR 2023 (2023)
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ICLR 2023 (2023)
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AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systemspp.2116-2124, (2023)
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Artificial Intelligence (2023): 103975-103975
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ICLR 2023 (2023)
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European Conference on Artificial Intelligencepp.5803-5807, (2022)
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