FMSPレクチャーズ

過去の記録 ~03/28次回の予定今後の予定 03/29~

担当者 河野俊丈

2015年11月25日(水)

14:55-18:00   数理科学研究科棟(駒場) 056号室
"Learning theory and sparsity" 全3回講演の(1)
Arnak Dalalyan 氏 (ENSAE ParisTech)
(1)Introduction into sparse recovery and compressed sensing. (ENGLISH)
[ 講演概要 ]
In this introductory lecture, we will present the general framework of high-dimensional statistical modeling and its applications in machine learning and signal processing. Basic methods of sparse recovery, such as the hard and the soft thresholding, will be introduced in the context of orthonormal dictionaries and their statistical accuracy will be discussed in detail. We will also show the relation of these methods with compressed sensing and convex programming based procedures.
[ 参考URL ]
http://fmsp.ms.u-tokyo.ac.jp/FMSPLectures_Dalalyan.pdf