Travel: NSF Student Travel Grant for the Seventh Conference on Machine Learning and Systems (MLSys 2024)

2024年机器学习与系统（MLSys）会议是一系列研讨会中的第七次会议，该研讨会汇集了致力于机器学习和计算机系统的行业，教师和学生研究人员。会议将于2024年5月13日至16日在美国加利福尼亚州的圣克拉拉会议中心举行。该项目包括来自学术界和工业界的研究论文，三场由该领域国际知名领导人发表的主题演讲，以及为期一天的年轻专业人士研讨会。该奖项提供资金，帮助支付美国研究生和本科生参加会议的旅费。获得差旅补助的学生将有机会参与技术、专业、教育和社会交流。会议是交流研究成果和发展新思想的开放论坛，也是让学生接触新的研究方法、工具和基础设施的教育平台，也是建立网络和培养学生成为未来研究人员和领导者的社会活动。会议的目标是研究机器学习和系统的交叉，这在历史上并没有被现有的机器学习或计算机系统会议特别解决。会议引发了这些领域之间的新联系，包括确定学习系统的最佳实践和设计原则，以及开发适合实际机器学习工作流程的新学习方法和理论。该奖项将使原本无法参加的学生，特别是在机器学习和计算机系统领域代表性不足的学生能够参与其中。此外，受资助的本科生获得了接触这些领域前沿研究的宝贵机会，鼓励他们继续深造，继续读研究生。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The 2024 Machine Learning and Systems (MLSys) conference is the seventh in an established series of symposia that brings together industry, faculty, and student researchers working on machine learning and computer systems. The conference is held at the Santa Clara Convention Center in California, United States, May 13th to 16th, 2024. The program includes research papers from academia and industry, three keynote talks by internationally recognized leaders in the field, and a day-long young professionals symposium. This award provides funding to help cover the travel costs for U.S.-based graduate and undergraduate students to attend the conference. Students receiving travel support benefit from the opportunity to engage in technical, professional, educational and social exchanges. The conference serves as an open forum to exchange research results and develop new ideas, as well as an educational platform to expose students to new research methodologies, tools, and infrastructures, and as a social event to network and prepare students as future researchers and leaders.The conference targets research at the intersection of machine learning and systems, which historically has not been particularly well addressed by existing Machine Learning or Computer Systems focused conferences. The conference elicits new connections amongst these fields, including identifying best practices and design principles for learning systems, as well as developing novel learning methods and theory tailored to practical machine learning workflows. The award will enable the participation of students who would otherwise be unable to attend, particularly students under-represented in the machine learning and computer systems fields. Moreover, the undergraduate students who are supported gain valuable exposure to the forefront of research in these areas, encouraging them to further their education by continuing on to graduate school.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.