Conference: Workshop on Learning-augmented Algorithms
Conference: Workshop on Learning-augmented Algorithms
批准号:
2239610
负责人:
Debmalya Panigrahi
金额:
$2.5万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-10-01 至 2023-09-30
中文摘要
学习增强算法是一个快速发展的领域,已被证明是设计高效算法的有效工具。学习增强算法研讨会将于2022年12月在印度金奈举行,旨在通过确定重要的主题、问题和重点努力的方向来确定该领域的议程。这次会议将使学生和博士后研究人员做好准备,为这一重要的新兴研究领域做出贡献,并将促进对该领域感兴趣的资深研究人员之间的合作。该节目将以特邀演讲者的教程和演讲为特色。这一奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Learning-augmented algorithms is a rapidly growing field that has proved to be an effective tool for designing efficient algorithms. The Workshop on Learning-augmented Algorithms, to be held in December 2022 in Chennai, India, aims to set the agenda for the area by identifying important topics, questions, and directions for focused effort. This meeting will prepare students and postdoctoral researchers to contribute to this important emerging area of research and will promote collaboration among senior researchers interested in this area. The program will feature tutorials and talks by invited speakers. Students of underrepresented minority groups are especially encouraged to participate.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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会议论文
AF: Small: Algorithms for Graph Cuts
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批准号:2329230
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项目类别:Standard Grant
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资助金额:$30.0万
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财政年份:2023
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负责人:Debmalya Panigrahi
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依托单位:
Collaborative Research: AF: Medium: Algorithms Meet Machine Learning: Mitigating Uncertainty in Optimization
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批准号:1955703
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项目类别:Continuing Grant
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资助金额:$61.57万
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财政年份:2020
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负责人:Debmalya Panigrahi
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依托单位:
CAREER: New Directions in Graph Algorithms
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批准号:1750140
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项目类别:Continuing Grant
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资助金额:$51.6万
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财政年份:2018
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负责人:Debmalya Panigrahi
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依托单位:
AF: Small: Allocation Algorithms in Online Systems
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批准号:1527084
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项目类别:Standard Grant
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资助金额:$41.6万
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财政年份:2015
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负责人:Debmalya Panigrahi
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依托单位:
海外基金