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

由西班牙巴塞罗那数学研究中心主办的“机器学习数学”研究项目将于2014年4月7日至7月14日举行。该计划的目的是将来自统计、优化和计算机科学领域的领先研究人员聚集在一起。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。研究计划将集中在理论机器学习的几个方面，包括计算和统计的相互作用，学习和优化之间的联系，以及序列预测方法的理论。在为期14周的时间里，调查员将组织三次为期三天的专题讲习班、一次为期五天的学习理论大型讲习班以及许多短期和长期访问。该计划还将与统计期刊会议和学习理论会议放在同一地点。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需求的理解。通过吸引各自领域的领先专家，项目组织者的目标是专注于现代机器学习问题的理论问题。由于机器学习方法是许多计算机化系统的重要组成部分，通过开发更快、性能更好的算法，这项研究可能会对技术和社会产生积极影响。该项目自然而然地将研究和教育结合在一起。短期和长期参观者将获得一个独特的机会进行前沿研究，而在此期间的专题研讨会将提供一个与更广泛的受众学习和交流思想的论坛。特别是，学生的参与对于培养下一代研究计算和统计学习方面的研究人员将是至关重要的。会议网页位于http://stat.wharton.upenn.edu/~rakhlin/crm/

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/