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

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.

国际机器学习会议（ICML）被认为是机器学习领域的首要会议，无论是从教育还是科学的角度来看。ICML涵盖了机器学习各个方面的主题，并征集关于问题领域、研究主题、学习范式和评估方法的论文。它是机器学习社区交流思想的重要论坛，包括科学海报会议、教育教程、前瞻性研讨会和特邀演讲。 该项目为学生提供奖励，以帮助支付他们的旅行费用，促进会议更广泛的社会影响。 促进教育和参与前沿数据科学是NSF的使命的核心，该项目及其奖项直接代表了这一使命。ICML 2016将在纽约市举行。我们根据以前的ICML会议估算了分项成本。 通过该项目资助的学生将根据他们的财务需求，研究领域的一致性以及参加会议的情况通过同行评审过程进行选择。 这些奖项将提供与该领域专家建立联系的机会，并获得对机器学习研究前沿的宝贵见解。这将积极影响他们的研究的深度和广度以及他们的论文质量。 长期的职业利益也应该会产生，因为ICML有许多工业赞助商，他们在自己的公司内设立展台并讨论机器学习导向的工作机会。 ICML 2016年奖学金计划遵循过去几年成功的奖学金计划。所要求的资金将专门用于帮助支付出席会议的学生的旅费和注册费。这些学生奖学金对于鼓励学生参与这次重要会议以及塑造整个领域的未来非常重要。