Technical Program

Paper Detail

Paper:WE1-4-1
Session:Sparsity for Nonlinear Inverse Problems
Location:Room 4
Session Time:Wednesday, November 4, 10:00 - 11:20
Presentation Time:Wednesday, November 4, 10:00 - 10:20
Presentation: Virtual
Topic: Adaptive Systems, Machine Learning, Data Analytics: Invited Session: Sparsity for Nonlinear Inverse Problems
Paper Title: Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent
Authors: Tian Tong, Carnegie Mellon University, United States; Cong Ma, Princeton University, United States; Yuejie Chi, Carnegie Mellon University, United States