Optimal Rates of Convergence for Noisy Sparse Phase Retrieval via Thresholded Wirtinger Flow

10 June 2015

T. Tony Cai

Papers citing "Optimal Rates of Convergence for Noisy Sparse Phase Retrieval via Thresholded Wirtinger Flow"

27 / 27 papers shown

Title
AltGDmin: Alternating GD and Minimization for Partly-Decoupled (Federated) Optimization Namrata Vaswani 41 0 0 20 Apr 2025
Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model Runshi Tang M. Yuan Anru R. Zhang 45 3 0 02 Jul 2023
Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Prior Zongyu Li Jason Hu Xiaojian Xu Liyue Shen Jeffrey A. Fessler DiffM 24 3 0 12 May 2023
Sequential Anomaly Detection Against Demodulation Reference Signal Spoofing in 5G NR Shao-Di Wang Hui-Ming Wang Chen Feng Victor C. M. Leung 11 6 0 02 Dec 2022
Misspecified Phase Retrieval with Generative Priors Zhaoqiang Liu Xinshao Wang Jiulong Liu 43 4 0 11 Oct 2022
Sudakov-Fernique post-AMP, and a new proof of the local convexity of the TAP free energy Michael Celentano 37 20 0 19 Aug 2022
Convergence of gradient descent for deep neural networks S. Chatterjee ODL 21 20 0 30 Mar 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
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 40 165 0 15 Dec 2020
On InstaHide, Phase Retrieval, and Sparse Matrix Factorization Sitan Chen Xiaoxiao Li Zhao Song Danyang Zhuo 19 13 0 23 Nov 2020
Solving Phase Retrieval with a Learned Reference Rakib Hyder Zikui Cai M. Salman Asif 13 24 0 29 Jul 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage Matthew Brennan Guy Bresler 29 86 0 16 May 2020
The estimation error of general first order methods Michael Celentano Andrea Montanari Yuchen Wu 14 44 0 28 Feb 2020
An Optimal Statistical and Computational Framework for Generalized Tensor Estimation Rungang Han Rebecca Willett Anru R. Zhang 27 65 0 26 Feb 2020
Phase Retrieval Using Conditional Generative Adversarial Networks Tobias Uelwer Alexander Oberstrass Stefan Harmeling GAN 22 25 0 10 Dec 2019
Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently Laixi Shi Yuejie Chi 30 26 0 25 Nov 2019
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching Anru R. Zhang Yuetian Luo Garvesh Raskutti M. Yuan 25 44 0 09 Nov 2019
Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation Avishek Ghosh A. Pananjady Adityanand Guntuboyina Kannan Ramchandran 12 25 0 21 Jun 2019
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors Gauri Jagatap C. Hegde 26 70 0 20 Jun 2019
Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval Rakib Hyder Viraj Shah C. Hegde M. Salman Asif 21 45 0 07 Mar 2019
Misspecified Nonconvex Statistical Optimization for Phase Retrieval Zhuoran Yang Lin F. Yang Ethan X. Fang T. Zhao Zhaoran Wang Matey Neykov 16 15 0 18 Dec 2017
Using Black-box Compression Algorithms for Phase Retrieval Milad Bakhshizadeh A. Maleki S. Jalali 13 8 0 08 Dec 2017
Blind Gain and Phase Calibration via Sparse Spectral Methods Yanjun Li Kiryung Lee Y. Bresler 19 27 0 30 Nov 2017
Estimating the Coefficients of a Mixture of Two Linear Regressions by Expectation Maximization Jason M. Klusowski Dana Yang W. Brinda 34 41 0 26 Apr 2017
Median-Truncated Nonconvex Approach for Phase Retrieval with Outliers Huishuai Zhang Yuejie Chi Yingbin Liang 22 55 0 11 Mar 2016
Gradient Descent Converges to Minimizers J. Lee Max Simchowitz Michael I. Jordan Benjamin Recht 32 212 0 16 Feb 2016
Sparse Nonlinear Regression: Parameter Estimation and Asymptotic Inference Zhuoran Yang Zhaoran Wang Han Liu Yonina C. Eldar Tong Zhang 6 43 0 14 Nov 2015