Technical Program

Paper Detail

Paper:TA8a1-3
Session:Convex and Non-Convex Optimization and Phase Retrieval
Location:Merrill
Session Time:Tuesday, November 5, 08:15 - 09:55
Presentation Time:Tuesday, November 5, 08:15 - 09:55
Presentation: Poster
Topic: Adaptive Systems, Machine Learning, Data Analytics: Machine Learning
Paper Title: Alternating Gradient Descent Ascent for Nonconvex Min-Max Problems in Robust Learning and GANs
Authors: Songtao Lu, University of Minnesota, Twin-Cities, United States; Rahul Singh, Georgia Institute of Technology, United States; Xiangyi Chen, University of Minnesota, Twin-Cities, United States; Yongxin Chen, Georgia Institute of Technology, United States; Mingyi Hong, University of Minnesota, Twin-Cities, United States