Participant Support for attendants to the program Mathematics of Machine Learning (Barcelona)

为参加机器学习数学课程（巴塞罗那）的参与者提供支持

• 批准号: 1342739
• 负责人: Alexander Rakhlin
• 金额: $ 3.2万
• 依托单位: University of Pennsylvania
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1342739&HistoricalAwards=false
• 关键词: Participant; Support; attendants; program; Mathematics

The research program ``Mathematics of Machine Learning'', hosted by the Centre de Recerca Matematica (Barcelona, Spain), will take place from April 7th to July 14th, 2014. The aim of the program is to bring together leading researchers from the fields of Statistics, Optimization, and Computer Science. The dialogue between these fields has been crucial to the understanding of modern machine learning problems. The research program will focus on several aspects of theoretical machine learning, including the interplay of computation and statistics, connections between learning and optimization, as well as the theory of sequential prediction methods. Over the course of fourteen weeks, the investigators will organize three thematic 3-day workshops, one large 5-day workshop on learning theory, as well as many short and long-term visits. The program will also be co-located with the conference Journees de Statistique and the Conference on Learning Theory.Machine learning approaches to dealing with large scale data ultimately rely on our understanding of computational and statistical demands. By attracting the leading experts in the respective fields, the program organizers are aiming to focus on the theoretical issues of modern machine learning problems. As machine learning methods form an essential part of many computerized systems, the research is likely to have a positive impact on technology and society through the development of faster algorithms with better performance. The program naturally integrates research and education. The short and long-term visitors will be given a unique opportunity to conduct cutting-edge research, while the thematic workshops during this period will provide a forum for learning and the exchange of ideas with the broader audience. In particular, student participation will be crucial to fostering the next generation of researchers that study both computational and statistical aspects of learning. Conference web page is located at http://stat.wharton.upenn.edu/~rakhlin/crm/

研究计划``机器学习的数学''由德雷卡·马蒂马蒂亚中心（西班牙巴塞罗那）主持，将于2014年4月7日至7月14日举行。该计划的目的是将统计，优化和计算机科学领域的领先研究人员汇集在一起​​。这些领域之间的对话对于理解现代机器学习问题至关重要。该研究计划将重点关注理论机器学习的几个方面，包括计算和统计数据的相互作用，学习与优化之间的联系以及顺序预测方法的理论。在十四周的时间里，调查人员将组织三个主题3天的讲习班，一个关于学习理论的5天大型讲习班，以及许多短期和长期访问。该计划还将与会议期间统计和学习理论会议共同划位。处理大规模数据的机器学习方法最终取决于我们对计算和统计要求的理解。通过吸引各个领域的领先专家，计划组织者的目标是专注于现代机器学习问题的理论问题。由于机器学习方法构成了许多计算机系统的重要组成部分，因此通过开发更快的性能，该研究可能会对技术和社会产生积极影响。该计划自然融合了研究和教育。短期和长期的访问者将有一个独特的机会进行尖端研究，而在此期间的主题讲习班将为学习和更广泛的受众提供思想交流的论坛。特别是，学生参与对于培养研究学习的计算和统计方面的下一代研究人员至关重要。会议网页位于http://stat.wharton.upenn.edu/~rakhlin/crm/