The Landscape of Matrix Factorization Revisited

27 February 2020

Papers citing "The Landscape of Matrix Factorization Revisited"

14 / 14 papers shown

Title
On Landscape of Lagrangian Functions and Stochastic Search for Constrained Nonconvex Optimization Zhehui Chen Xingguo Li Lin F. Yang Jarvis Haupt T. Zhao 26 4 0 13 Jun 2018
Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced S. Du Wei Hu Jason D. Lee MLT 129 241 0 04 Jun 2018
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization Sanjeev Arora Nadav Cohen Elad Hazan 99 484 0 19 Feb 2018
Learning One-hidden-layer Neural Networks with Landscape Design Rong Ge Jason D. Lee Tengyu Ma MLT 196 261 0 01 Nov 2017
The loss surface of deep and wide neural networks Quynh N. Nguyen Matthias Hein ODL 157 284 0 26 Apr 2017
No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis Rong Ge Chi Jin Yi Zheng 119 436 0 03 Apr 2017
How to Escape Saddle Points Efficiently Chi Jin Rong Ge Praneeth Netrapalli Sham Kakade Michael I. Jordan ODL 224 836 0 02 Mar 2017
Identity Matters in Deep Learning Moritz Hardt Tengyu Ma OOD 84 398 0 14 Nov 2016
Matrix Completion has No Spurious Local Minimum Rong Ge Jason D. Lee Tengyu Ma 105 599 0 24 May 2016
Global Optimality of Local Search for Low Rank Matrix Recovery Srinadh Bhojanapalli Behnam Neyshabur Nathan Srebro ODL 106 388 0 23 May 2016
Deep Learning without Poor Local Minima Kenji Kawaguchi ODL 219 923 0 23 May 2016
A Geometric Analysis of Phase Retrieval Ju Sun Qing Qu John N. Wright 121 526 0 22 Feb 2016
Complete Dictionary Recovery over the Sphere Ju Sun Qing Qu John N. Wright 57 202 0 26 Apr 2015
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition Rong Ge Furong Huang Chi Jin Yang Yuan 137 1,058 0 06 Mar 2015