【15-20期VALSE Webinar活动】 报告嘉宾1：刘霁 (University of Rochester)
主持人：王琦 (西北工业大学)
报告题目：Feature Selection via Sparse Learning http://valser.org/webinar/slide/slides/20150701/Valse_Webinar_20150701_Liu.ppt 报告时间：2015年7月1日晚20:00（北京时间）
文章信息：
[1] Ji Liu, Ryohei Fujimaki, and Jieping Ye, "Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint", ICML, 2014.
[2] Ji Liu, Peter Wonka, and Jieping Ye, "A Multi-stage Framework for Dantzig Selector and Lasso", Journal of Machine Learning Research, 2012.
[3] Ji Liu, Peter Wonka, and Jieping Ye, "Multi-stage Dantzig Selector", NIPS, 2010.
报告摘要：Feature selection plays an important role in various classification and regression problems. Sparse learning (compressed sensing) is a hot topic and methodology recently in machine learning. This talk connects the feature selection task and the recent progresses in sparse learning. Several sparse learning approaches (including several approaches developed by the speaker) will be introduced in this talk. In particular the theoretical error bounds will be compared to show the difference among these approaches and provide intuitive understanding on them.
报告人简介：Ji Liu is currently an assistant professor in Computer Science and Goergen Institute for Data Science at University of Rochester (UR). He received his Ph.D., Masters, and M.S. degrees from University of Wisconsin-Madison, Arizona State University, and University of Science and Technology of China respectively. His research interests cover a broad scope of machine learning, optimization, and their applications in other areas such as computer vision, data mining, and data analysis. His recent research focus is on asynchronous parallel optimization, sparse learning (compressed sensing) theory and algorithm, online learning, abnormal event detection, and feature / pattern extraction in bio image analysis. He created the machine learning and optimization group at UR. He received the award of Best Paper honorable mention in SIGKDD 2010. He published 20+ papers in the past 5 years in top journals and conferences including JMLR, SIOPT, TPAMI, NIPS, ICML, UAI, SIGKDD, ICCV, CVPR, ECCV, etc. | 