Conference: Workshop on Learning-augmented Algorithms

会议：学习增强算法研讨会

• 批准号: 2239610
• 负责人: Debmalya Panigrahi
• 金额: $ 2.5万
• 依托单位: Duke University
• 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
• 起止时间: 2022-10-01 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2239610&HistoricalAwards=false
• 关键词: Conference; Workshop; Learning; augmented; Algorithms

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.

学习激进的算法是一个快速增长的领域，已被证明是设计有效算法的有效工具。 2022年12月在印度钦奈举行的有关学习算法的研讨会，旨在通过确定重要的主题，问题和指示来为该地区设定该地区的议程。 这次会议将使学生和博士后研究人员为这一重要的研究领域做出贡献，并将促进对该领域感兴趣的高级研究人员之间的合作。 该计划将由受邀演讲者的教程和演讲。 特别鼓励代表人数不足的少数群体的学生参加。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的审查标准来评估值得支持的。