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 |