Technical Program

Paper Detail

Paper:MLSP-L6.1
Session:Matrix and Tensor Methods I
Location:Ocean View
Session Time:Thursday, May 16, 08:00 - 10:00
Presentation Time:Thursday, May 16, 08:00 - 08:20
Presentation: Lecture
Topic: Machine Learning for Signal Processing: Tensor and Structured Matrix Methods
Paper Title: Fast and Global Optimal Nonconvex Matrix Factorization via Perturbed Alternating Proximal Point
Manuscript Link:  Click here to view manuscript on IEEE Xplore
Authors: Songtao Lu, Mingyi Hong, University of Minnesota Twin Cities, United States; Zhengdao Wang, Iowa State University, United States