The 2016 Workshop on SPArsity REvisited (SPARE 2016)

Date and Venue

2016年6月4日,三教3215教室

Program

09:30-09:40: Sparsity Revisited
汪张扬(Assistant Professor, Texas A&M University)

09:40-10:15: Understanding Complex Systems in Healthcare and Engineering for Optimal Decision-Makings: Why Sparse Learning is Important?
黄帅(Assistant Professor, University of Washington)

10:15-10:50: Task-Specific and Interpretable Feature Learning
汪张扬(Assistant Professor, Texas A&M University)

10:50-11:05: Sparse Representations of Geometric Signals
王睿旻(中国科学技术大学数学学院)

11:05-11:20: Multi-Task Model and Feature Joint Learning
李亚(中国科学技术大学信息学院)

11:20-11:35: Make Workers Work Harder: Decoupled Asynchronous Proximal Stochastic Gradient Descent
李亦锬(中国科学技术大学计算机学院)

11:35-11:50: 讨论环节

Invited Speakers

黄帅(Assistant Professor, University of Washington)
汪张扬(Assistant Professor, Texas A&M University)

Spotlight Speakers

李亚(中国科学技术大学信息学院)
李亦锬(中国科学技术大学计算机学院)
王睿旻(中国科学技术大学数学学院)

Organizer

凌青(中国科学技术大学信息学院) Email: qingling@mail.ustc.edu.cn