MS-Tu-D-66
Recent Advances of Sparse Optimization in Signal Processing

Date: August 11
Time: 13:30--15:30
Room: 4-3

(Note: Click title to show the abstract.)

Organizer:
Liu, Ya-Feng (Acad. of Mathematics & Sys. Sci., Chinese Acad. of Sci.)

Abstract: In recent years, there has been an increasing merge of sparse optimization, signal processing, wireless communications, information theory, machine learning, data mining, and statistics. This minisymposium addresses the interdisciplinary topics of sparse optimization and its various applications to signal processing. The goal of this minisymposium is to give an introduction to recent advances of sparse optimization theory, algorithms, applications, as well as emerging challenges. The speakers shall particularly talk about recent interesting applications of sparse optimization techniques to solve problems arising from signal processing, wireless communications, and information theory.


MS-Tu-D-66-1
13:30--14:00
To prove or to disprove: Information inequalities and sparse optimization
Tan, Chee Wei (City Univ. of Hong Kong)


MS-Tu-D-66-2
14:00--14:30
Sparse Beamforming for Cloud Radio Access Network
Yu, Wei (Univ. of Toronto)


MS-Tu-D-66-3
14:30--15:00
Flexible ADMM for Block Structured Convex and Nonconvex Optimization
Hong, Mingyi (Iowa State Univ.)


MS-Tu-D-66-4
15:00--15:30
EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization
Ling, Qing (Univ. of Sci. & Tech. of China)

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Footnote:
Code: Type-Date-Time-Room No.
Type : IL=Invited Lecture, SL=Special Lectures, MS=Minisymposia, IM=Industrial Minisymposia, CP=Contributed Papers, PP=Posters
Date: Mo=Monday, Tu=Tuesday, We=Wednesday, Th=Thursday, Fr=Friday
Time : A=8:30-9:30, B=10:00-11:00, C=11:10-12:10, BC=10:00-12:10, D=13:30-15:30, E=16:00-18:00, F=19:00-20:00, G=12:10-13:30, H=15:30-16:00
Room No.: TBA