Support for the U.S. participants of the Seventh International Conference on High Dimensional Probability, May 26-31, 2014

对 2014 年 5 月 26-31 日第七届高维概率国际会议美国与会者的支持

• 批准号: 1441883
• 负责人: Christian Houdre
• 金额: $ 1万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-05-01 至 2015-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1441883&HistoricalAwards=false
• 关键词: Support; U.S.; participants; Seventh; International

This award supports participation in the Seventh International Conference on High Dimensional Probability (HDP VII) taking place during May 26-31, 2014 at the Institut d'Études Scientifiques de Cargèse (IESC), France. High Dimensional Probability theory is the mathematical root for the analysis of Big Data, and developments in the theory and its connections to other disciplines will benefit science and society as a whole.The topics of the conference will include Limit Theorems, Empirical Processes and their Applications, High Dimensional Statistics, Statistical Learning theory, Spin Glass Methods, Convex Geometry and Applications as well as Random Matrices and Additive Combinatorics. The meeting will consist of a mix of formal and informal discussions and presentations. It is not only intended to present the current state of the art in the field, but also to point out important open problems and to set new directions for the field. The information exchange taking place during HDP VII will enhance cross-pollination among the disciplines of mathematics, statistics, machine learning, and computer science. Particular attention has been paid to bring as speakers and participants, and ultimately into the future leadership of this conference series, junior researchers and researchers from under-represented groups.More information is available at http://hdpvii.gatech.edu and http://www.iesc.univ-corse.fr/en

该奖项支持参加于2014年5月26日至31日在法国卡尔杰斯科学研究所(IESC)举行的第七届高维概率国际会议(HDP VII)。高维概率理论是大数据分析的数学基础，该理论的发展及其与其他学科的联系将使科学和社会整体受益。会议的主题将包括极限定理、经验过程及其应用、高维统计、统计学习理论、自旋玻璃方法、凸几何及其应用以及随机矩阵和加性组合学。会议将包括正式和非正式的讨论和介绍。它不仅旨在呈现该领域的最新技术状态，而且还旨在指出重要的公开问题并为该领域设定新的方向。在第七届人类发展计划期间进行的信息交流将加强数学、统计学、机器学习和计算机科学等学科之间的交叉授粉。特别注意邀请初级研究人员和代表不足群体的研究人员作为演讲者和参与者，并最终成为本次会议系列的未来领导层。有关更多信息，请访问http://hdpvii.gatech.edu和http://www.iesc.univ-corse.fr/en