NSF Student Travel Grant for the Fifth Conference on Machine Learning and Systems (MLSys 2022)

这笔助学金支持被选中的学生参加第五届机器学习和系统会议(MLSys 2022)的学生旅费，该会议将于2022年8月29日至9月1日在美国加利福尼亚州圣克拉拉会议中心举行。MLSys的目标是在机器学习和系统的交叉点进行研究，目的是在这些领域之间建立新的联系，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。学生将受益于参与MLSys所促进的技术、专业、教育和社会交流的机会。研究生和本科生的出勤率对MLSys社区的发展至关重要。这笔助学金有助于维持学生的参与，特别是那些可能无法获得旅费的机构的学生。将重点支持代表性不足的少数群体，包括妇女、非裔美国人、西班牙裔、美洲原住民和太平洋原住民。学生将有机会与不同性别、种族和背景的导师和同龄人互动。支持将增加有才华的本科生的出勤率，吸引他们进行研究生学习和未来的研究。该奖项反映了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。

This grant supports student travel for selected students to attend the Fifth Conference on Machine Learning and Systems (MLSys 2022), which will be held at the Santa Clara Convention Center in California, United States during Aug. 29–Sep. 1, 2022. MLSys targets research at the intersection of machine learning and systems, and aims to elicit 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. Students will benefit from the opportunity to engage in the technical, professional, educational and social exchanges that MLSys fosters. Graduate and undergraduate student attendance is vital to the growth of the MLSys community. This grant helps to sustain student participation, particularly those from institutions where travel funds may not otherwise be available. Emphasis will be given to directing support towards underrepresented minorities, including women, African-Americans, Hispanics, Native Americans, and Native Pacific Islanders. Students will have the opportunity to interact with mentors and peers of varying gender, ethnicity and background. Support will increase the attendance of talented undergraduate students, attracting them to graduate studies and future research.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.