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职业迁徙
个人简介
Dilkina is one of the junior faculty leaders in the young field of Computational Sustainability, and has co-organized workshops, tutorials, special tracks at AAAI and doctoral consortium on Computational Sustainability. Her work spans discrete optimization, network design, stochastic optimization, and machine learning.
Dilkina's research focuses on advancing the state of the art in combinatorial optimization techniques for solving real-world large-scale problems, particularly ones that arise in sustainability areas such as biodiversity conservation planning and urban planning. Her work is at the intersection of discrete optimization and machine learning. One key area of research is designing machine-learning-driven combinatorial optimization algorithms, by leveraging the plethora of data generated by solving distributions of real world optimization problems.
Dilkina's research focuses on advancing the state of the art in combinatorial optimization techniques for solving real-world large-scale problems, particularly ones that arise in sustainability areas such as biodiversity conservation planning and urban planning. Her work is at the intersection of discrete optimization and machine learning. One key area of research is designing machine-learning-driven combinatorial optimization algorithms, by leveraging the plethora of data generated by solving distributions of real world optimization problems.
研究兴趣
论文共 163 篇作者统计合作学者相似作者
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arxiv(2024)
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APPLIED ENERGY (2024): 122413
arxiv(2024)
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AAAI 2024no. 16 (2024): 17514-17522
IISE TRANSACTIONSno. 3 (2024): 355-373
David Rolnick, Alan Aspuru-Guzik,Sara Beery,Bistra Dilkina,Priya L. Donti,Marzyeh Ghassemi,Hannah Kerner, Claire Monteleoni,Esther Rolf,Milind Tambe, Adam White
arxiv(2024)
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Integration of Constraint Programming, Artificial Intelligence, and Operations Researchpp.460-476, (2023)
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John Dickerson,Bistra Dilkina,Yu Ding,Swati Gupta,Pascal Van Hentenryck,Sven Koenig,Ramayya Krishnan, Radhika Kulkarni, Catherine Gill, Haley Griffin,Maddy Hunter, Ann Schwartz
CoRR (2023)
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