33rd International Conference on Machine Learning (ICML 2016)

第33届国际机器学习会议（ICML 2016）

• 批准号: 1630365
• 负责人: John Cunningham
• 金额: $ 3万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-06-01 至 2017-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1630365&HistoricalAwards=false
• 关键词: 33rd; International; Conference; Machine; Learning; 33rd; International; Conference; Machine; Learning

The International Conference on Machine Learning (ICML) is considered to be the premier conference in Machine Learning, both from an educational and scientific standpoint. ICML encompasses topics on all facets of Machine Learning, and solicits papers on problem areas, research topics, learning paradigms, and approaches to evaluation. It is a key forum for exchange of ideas in the Machine Learning community, and features scientific poster sessions, educational tutorials, forward-looking workshops, and invited talks. This project offers awards to students to help defray their travel costs, promoting a broader societal reach for the conference. Promoting education and participation in cutting edge data science is central to the mission of the NSF, and this project and its awards speak directly to that mission.ICML 2016 will be held in New York City. We have estimated itemized costs based on previous ICML conferences. Students funded via this project will be selected by a peer review process based on their financial needs, alignment of research areas, and participation in the conference. These awards will offer the opportunity to network with experts in the area and gain valuable insights into the cutting edge of Machine Learning research. This will positively impact the depth and breadth of their research as well as quality of their dissertations. Long-term career benefits should also result, as ICML has a number of industrial sponsors who set up booths and discuss Machine Learning-oriented job opportunities within their own companies. The ICML 2016 scholarship program follows the successful scholarship programs from the last several years. The requested funds will be used exclusively to help defray the travel and registration costs of students attending the conference. These student scholarships are very important for encouraging student participation in this premier conference and for shaping the future of the field as a whole.

从教育和科学的角度来看，国际机器学习会议（ICML）被认为是机器学习的主要会议。 ICML涵盖了机器学习各个方面的主题，并就问题领域，研究主题，学习范式和评估方法征求论文。这是一个关键的论坛，可以在机器学习社区交流思想，并设有科学海报会议，教育教程，前瞻性讲习班和邀请演讲。 该项目为学生提供奖项，以帮助支付旅行成本，从而促进了会议的更广泛的社会影响力。 促进教育和参与尖端数据科学是NSF任务的核心，该项目及其奖项直接与该任务有关。ICML2016将在纽约市举行。我们根据以前的ICML会议估计了逐项成本。 通过该项目资助的学生将根据同行审查流程的财务需求，研究领域的一致性以及参加会议的参与来选择。 这些奖项将提供与该地区专家建立联系的机会，并获得对机器学习研究的最前沿的宝贵见解。这将对他们的研究的深度和广度以及论文的质量产生积极影响。 长期的职业福利也应导致，因为ICML拥有许多工业赞助商，他们在自己的公司内建立了摊位并讨论面向机器学习的工作机会。 ICML 2016奖学金计划遵循了过去几年的成功奖学金计划。要求的资金将专门用于支付参加会议的学生的旅行和注册费用。这些学生奖学金对于鼓励学生参加这次总理会议和整体领域的未来非常重要。