Structured signal recovery from quadratic measurements: Breaking sample complexity barriers via nonconvex optimization

20 February 2017

Papers citing "Structured signal recovery from quadratic measurements: Breaking sample complexity barriers via nonconvex optimization"

20 / 20 papers shown

Title
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization G. Zhang S. Fattahi Richard Y. Zhang 49 36 0 13 Apr 2025
Adversarial Phase Retrieval via Nonlinear Least Absolute Deviation Gao Huang Song Li Hang Xu 40 0 0 11 Dec 2023
Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Prior Zongyu Li Jason Hu Xiaojian Xu Liyue Shen Jeffrey A. Fessler DiffM 31 3 0 12 May 2023
Misspecified Phase Retrieval with Generative Priors Zhaoqiang Liu Xinshao Wang Jiulong Liu 51 4 0 11 Oct 2022
Optimal convex lifted sparse phase retrieval and PCA with an atomic matrix norm regularizer Andrew D. McRae Justin Romberg Mark A. Davenport 35 8 0 08 Nov 2021
Understanding Overparameterization in Generative Adversarial Networks Yogesh Balaji M. Sajedi Neha Kalibhat Mucong Ding Dominik Stöger Mahdi Soltanolkotabi S. Feizi AI4CE 27 21 0 12 Apr 2021
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 57 166 0 15 Dec 2020
The estimation error of general first order methods Michael Celentano Andrea Montanari Yuchen Wu 28 44 0 28 Feb 2020
Complex phase retrieval from subgaussian measurements Felix Krahmer Dominik Stöger 37 17 0 19 Jun 2019
A stochastic alternating minimizing method for sparse phase retrieval Jian-Feng Cai Yuling Jiao Xiliang Lu Juntao You 18 1 0 14 Jun 2019
Subgradient Descent Learns Orthogonal Dictionaries Yu Bai Qijia Jiang Ju Sun 26 51 0 25 Oct 2018
End-to-end Learning of a Convolutional Neural Network via Deep Tensor Decomposition Samet Oymak Mahdi Soltanolkotabi 23 12 0 16 May 2018
Learning Compact Neural Networks with Regularization Samet Oymak MLT 46 39 0 05 Feb 2018
Lifting high-dimensional nonlinear models with Gaussian regressors Christos Thrampoulidis A. S. Rawat 23 8 0 11 Dec 2017
Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models Jean Barbier Florent Krzakala N. Macris Léo Miolane Lenka Zdeborová 37 260 0 10 Aug 2017
Theoretical insights into the optimization landscape of over-parameterized shallow neural networks Mahdi Soltanolkotabi Adel Javanmard Jason D. Lee 38 415 0 16 Jul 2017
Solving Almost all Systems of Random Quadratic Equations G. Wang G. Giannakis Y. Saad Jie Chen 34 25 0 29 May 2017
Learning ReLUs via Gradient Descent Mahdi Soltanolkotabi MLT 34 181 0 10 May 2017
Phase Transitions of Spectral Initialization for High-Dimensional Nonconvex Estimation Yue M. Lu Gen Li 25 89 0 21 Feb 2017
Fast and Reliable Parameter Estimation from Nonlinear Observations Samet Oymak Mahdi Soltanolkotabi 35 25 0 23 Oct 2016