Technical Program

MO3-3: Nonconvex Methods for High-Dimensional Estimation

Session Type: Virtual
Time: Monday, November 2, 14:50 - 16:30
Virtual Session: View on Virtual Platform
Location: Room 3
Session Chairs: Yue Lu, Harvard University and Ran Xin, Carnegie Mellon University
 
MO3-3-1: Decentralized stochastic algorithms for non-convex finite-sum minimization
         Ran Xin; CMU
         Soummya Kar; CMU
         Usman Khan; Tufts
 
MO3-3-2: Analysis of the Optimization Landscapes for Overcomplete Representation Learning
         Qing Qu; New York University, Center for Data Science
         Yuexiang Zhai; UC Berkeley
         Xiao Li; CUHK
         Yuqian Zhang; Rutgers
         Zhihui Zhu; University of Denver
 
MO3-3-3: A Sharp Asymptotic Analysis of Learning with Random Orthogonal Features
         Oussama Dhifallah; Harvard University
         Yue M. Lu; Harvard University