The Local Landscape of Phase Retrieval Under Limited Samples

26 November 2023

Papers citing "The Local Landscape of Phase Retrieval Under Limited Samples"

12 / 12 papers shown

Title
High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance Abdurakhmon Sadiev Marina Danilova Eduard A. Gorbunov Samuel Horváth Gauthier Gidel Pavel Dvurechensky Alexander Gasnikov Peter Richtárik 48 42 0 02 Feb 2023
Learning a Single Neuron for Non-monotonic Activation Functions Lei Wu MLT 41 11 0 16 Feb 2022
Learning a Single Neuron with Gradient Methods Gilad Yehudai Ohad Shamir MLT 59 64 0 15 Jan 2020
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma Yuling Yan 53 128 0 20 Feb 2019
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview Yuejie Chi Yue M. Lu Yuxin Chen 65 426 0 25 Sep 2018
On the Power of Over-parametrization in Neural Networks with Quadratic Activation S. Du Jason D. Lee 183 272 0 03 Mar 2018
Matrix Completion has No Spurious Local Minimum Rong Ge Jason D. Lee Tengyu Ma 114 599 0 24 May 2016
Global Optimality of Local Search for Low Rank Matrix Recovery Srinadh Bhojanapalli Behnam Neyshabur Nathan Srebro ODL 112 388 0 23 May 2016
A Geometric Analysis of Phase Retrieval Ju Sun Qing Qu John N. Wright 129 526 0 22 Feb 2016
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition Rong Ge Furong Huang Chi Jin Yang Yuan 143 1,059 0 06 Mar 2015
Phase Retrieval via Wirtinger Flow: Theory and Algorithms Emmanuel Candes Xiaodong Li Mahdi Soltanolkotabi 199 1,288 0 03 Jul 2014
Phase Retrieval using Alternating Minimization Praneeth Netrapalli Prateek Jain Sujay Sanghavi 226 633 0 02 Jun 2013